Private Sector UK

Accessibility (Lift Specialist) - 12 Months - Salisbury - SC ClearedContract Length: 12 MONTHSLocation: Salisbury, full-time onsiteIR35: INSIDE IR35Pay Rate to Candidate: £874 per dayA leading Defence Institution is seeking an Accessibility/Lifting Specialist, with proven experience managing lifting operations, including planning and supervising complex lifts.Minimum Requirement:Proven experience managing lifting operations, including planning and supervising complex lifts.In-depth knowledge of lifting legislation, regulations, and safety standards.Strong understanding of contract lift documentation and assurance processes.Familiarity with asset management practices, including CAFM systems.Strong leadership and communication skills with ability to engage stakeholders at all levels.Ability to analyse and review technical documentation.Demonstrable experience in assurance activities (L1, 2 & 3)Complex/Heavy lifting experienceDesirable:Membership of a recognised professional body (e.g., Lifting Equipment Engineers Association - LEEA).Training/qualification as Appointed Person (Lifting Operations).Previous experience in Defence or high-security environments.Job spec:Provide a single competent authority accountable for lifting assuranceStandardise lifting governance across sitesEnsure alignment with Safe to Start and regulatory obligationsTrain and develop a designated taff member to AP competency level to enable long-term Internal resilience and continuityProvide professional advice and guidance for lifting.Develop, implement and maintain Lifting Policy, process and related forms and documentation.Prepare, review, and approve lifting plans and associated documentation.Supervise and oversee complex lifts on site when required.Review contract lift safety documentation and lift plans prior to execution.

Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per weekA globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption.The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments.Responsibilities for the Senior GCP VDC Network Engineer:Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloadsConfigure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivityImplement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integrationDevelop and manage Infrastructure as Code for network resources using Terraform and Terraform CloudAutomate network provisioning and configuration workflows using PythonEnforce GCP organisation policies covering network security, encryption and access controlIntegrate network deployments into CI/CD pipelines to enable automated provisioning and updatesImplement policy-as-code guardrails for network governanceOptimise network performance, reliability and resilience through monitoring and proactive tuningCollaborate with security teams to implement best practice network controlsSupport migration of legacy network configurations into unified, reusable templatesTroubleshoot and resolve complex networking issues across GCP VDC environmentsProvide technical leadership and mentoring to engineers within the teamEssential Skills for the Senior GCP VDC Network Engineer:Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peeringProven experience delivering hybrid connectivity using Cloud VPN and InterconnectStrong Infrastructure as Code expertise using Terraform and Terraform CloudPython scripting for automation and toolingExperience integrating network automation into CI/CD pipelinesKnowledge of GCP organisation policies and policy-as-code frameworksGCP certification, ideally Professional Cloud Network EngineerDesirable Skills for the Senior GCP VDC Network Engineer:Experience with enterprise cloud engineering platformsStrong stakeholder engagement and communication capabilityExperience operating as a senior SME within cloud engineering teamsIf you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.

Senior GCP Apigee Engineer Salary: up to £90,000 + Bonus + Benefits Location: Hybrid - 2 days per week onsite (Bristol, Leeds, Halifax, Manchester or Edinburgh) Working Hours: 40 hours per weekA globally established organisation is seeking a Senior GCP Apigee Engineer to join a Public Cloud Platform function, delivering secure, scalable and compliant API solutions across enterprise environments. This is a senior, hands-on engineering role focused on modernising API gateways, automating deployments and enabling cloud-native integration across Google Cloud.The Senior GCP Apigee Engineer role is suited to an experienced Apigee specialist who combines deep API management expertise with strong DevOps capability, enjoys working within cross-disciplinary feature teams and can contribute to scalable cloud product delivery.Responsibilities for the Senior GCP Apigee Engineer:Design, build and manage API proxies, policies and configurations within Google ApigeeDevelop and maintain CI/CD pipelines supporting full API lifecycle managementImplement and enforce API security policies including OAuth, JWT, mTLS, rate limiting and threat protectionAutomate Apigee deployments and configurations using Infrastructure as Code principlesIntegrate Apigee with Google Cloud services including Cloud Functions, Pub/Sub and BigQueryDevelop automation scripts and operational workflows using PythonManage API analytics, monitoring and logging to ensure performance and complianceEnforce governance standards and organisation policies across API ecosystemsCollaborate with DevOps teams to deploy containerised components within GKE environmentsOptimise API performance using caching, quota management and intelligent traffic routingSupport migration of legacy APIs into modernised Apigee frameworksStandardise reusable templates and patterns for enterprise API developmentEssential Skills for the Senior GCP Apigee Engineer:Strong hands-on experience with Google Apigee API ManagementProven experience implementing CI/CD pipelines for API deploymentsStrong Python scripting capability for automationExperience with Jenkins, GitHub Actions or similar pipeline toolingKnowledge of container orchestration within Google Kubernetes EngineUnderstanding of API security standards and policy-as-code frameworksExperience working within enterprise cloud environmentsGCP certification, ideally Apigee Certified API EngineerDesirable Skills for the Senior GCP Apigee Engineer:Experience with Terraform or Terraform Cloud for Infrastructure as CodeFamiliarity with API development platformsStrong communication and stakeholder engagement skillsExperience operating as a senior SME within cloud engineering teamsIf you are an experienced GCP Apigee Engineer with strong API architecture and automation expertise, looking to lead scalable enterprise API initiatives within a cloud-first environment, please apply in the immediate instance.

Cyber Security Analyst Salary: Up to £70,000 + Bonus + Benefits Location: London - 3-5 days per week onsite Working Hours: 40 hours per week - Full timeA globally established organisation is seeking a Cyber Security Analyst to join its Security Operations function, playing a key role in strengthening cyber resilience and protecting critical enterprise systems. This is a hands-on operational security role focused on threat detection, incident response and continuous improvement of security monitoring capabilities.The position of Cyber Security Analyst is suited to an experienced security professional who thrives in fast-paced environments, enjoys investigative work and can collaborate effectively across technical and business stakeholders.Responsibilities for the Cyber Security Analyst:Monitor, investigate and respond to security alerts across SIEM platforms and ticketing systems, managing incidents through to resolutionParticipate in an on-call rota to support live security incidentsManage incident queues and approvals within IT service management toolsAct as a subject matter expert for nominated security technologies, ensuring effective configuration and optimisationSupport assurance activities relating to Managed Security Service ProvidersMaintain and enhance SecOps processes and documentation to enable knowledge sharingInvestigate security events, perform vulnerability analysis and support remediation activitiesAnalyse cyber threat intelligence and translate insights into actionable detection improvementsProcess indicators of compromise and indicators of attack to enhance detection rulesConduct proactive threat hunting based on emerging threatsPerform confidential eDiscovery investigations and present findings where requiredCollaborate with IT teams and stakeholders to strengthen overall security postureEssential Skills for the Cyber Security Analyst:Strong experience in security use case development and security tooling operationsPractical experience with SIEM platforms and vulnerability management solutionsSolid understanding of Security Operations processes and incident response frameworksKnowledge of networking fundamentals, IAM, perimeter controls and operating systemsUnderstanding of cloud security controls and container securityExperience with EDR tooling and familiarity with the MITRE ATT&CK frameworkExperience with scripting or basic coding for automationExperience conducting investigations including eDiscoveryIndustry recognised security certifications such as CISSP, GIAC or CEHStrong analytical, problem-solving and stakeholder communication skillsAbility to perform effectively under pressure during security incidentsDesirable Skills for the Cyber Security Analyst:Exposure to retail sector environmentsExperience working with Managed Security Service ProvidersStrong collaboration and influencing capabilityCuriosity around emerging cyber threats and defensive strategiesIf you are an experienced Cyber Security Analyst with strong investigative capability and a passion for proactive security operations, please apply in the immediate instance.Cyber Security Analyst, Cyber Defence Analyst, Security Analyst, Security Operations Analyst, Cyber Security Operations Analyst, Security Incident Analyst

Project Manager - 12 months - £500 per day (Inside IR35)IR35: InsideDuration: 12 monthsLocation: Remote with occasional on-site visitsThe role:A leading Government Institution are seeking a Project Manager, to undertake an initial 12-month engagement.This role is predominantly remote and would suit a Project Manager with prior experience of delivery Digital services.Essential Experience & SkillsExperience delivering large-scale software initiatives, ideally within a public sector or government environment.Background working within or alongside a Project Management Office (PMO) function in structured delivery settings.Demonstrated success leading complex programmes or projects involving multiple external vendors and cross-functional teams.Experience building and maintaining integrated delivery schedules, including critical path analysis and dependency management.Involvement in system upgrades or transformation initiatives affecting JavaScript-based platforms or applications.Strong technical literacy, enabling effective dialogue with architects and engineering teams, constructive challenge of assumptions, and informed risk assessment.Proven ability to build effective relationships with senior leaders, delivery teams, and supplier organisations.Methodology (e.g. PRINCE2, MSP, Agile frameworks).If available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Senior Internet Security Engineer Salary: up to £70,000 + Bonus + Benefits Location: Coventry - 3 days per week onsite Working Hours: 40 hours per weekAn established organisation is seeking an Senior Internet Security Engineer to join its security architecture function, leading the design and evolution of enterprise cloud security capabilities. This is a senior technical role focused on Secure Web Gateway, Cloud Access Security Broker and Data Loss Prevention technologies, supporting a broader Zero Trust and modern security strategy.The Senior Internet Security Engineer position is suited to an experienced security professional who combines deep technical expertise with strong stakeholder engagement and the ability to deliver scalable, future-ready security solutions across complex enterprise environments.Responsibilities for the Internet Security Engineer:Design and implement Internet Security policies to protect corporate endpoints across enterprise environmentsDefine, enable and review Secure Web Gateway and CASB configurations, including traffic steering and policy optimisationAnalyse data exfiltration risks and architect robust Data Loss Prevention strategiesApply advanced SSL inspection techniques, defining secure decryption bypass policies while maintaining protection standardsCollaborate with Security Operations to enhance controls, manage exceptions and apply ad-hoc site restrictionsAdminister and optimise the Netskope tenant, including upgrades and performance improvementsDesign and build internal PKI solutions, integrating with certificate lifecycle management and cloud HSM platformsDefine certificate templates and enhance cryptographic resilience through modern PKI practicesArchitect and deliver Zero Trust Network Access frameworks, including VPN migration and network segmentation initiativesDiscover VPN-dependent applications and define firewall changes to support ZTNA transitionSupport cyber resilience initiatives including segmentation and kill-switch requirementsManage proxy access control configurations and coordinate with network teams for implementationPartner with enterprise compute teams to deploy, upgrade and maintain Internet Security tooling across endpointsManage EntraID enterprise applications, ensuring SSO, SCIM and identity provider integrations are maintainedMentor junior engineers and contribute to security automation initiativesEssential Skills for the Internet Security Engineer:Strong expertise in Internet Security architecture including policy design, SSL inspection and Data Loss Prevention strategiesProven experience implementing Secure Web Gateway, CASB and Netskope administration within enterprise environmentsExperience integrating identity platforms including EntraID for SSO and access controlStrong background in PKI design, certificate lifecycle management and cryptographic security practicesExperience implementing Zero Trust Network Access and supporting VPN modernisation programmesStrong collaboration skills with experience working across Security Operations, Network and Enterprise Compute teamsDetail-oriented approach with the ability to deliver scalable, compliant and resilient security frameworksIf you are an experienced security architect with strong Netskope expertise and a passion for designing modern Internet Security solutions, please apply in the immediate instance.Internet Security Engineer, Netskope Engineer

Job title: 1st / 2nd Line Support EngineerLocation: Chessington - Fully OnsiteSalary: £30,000 to £40,000 + BenefitsStart date: ASAPWorking hours: 9:00am to 5:30pm and 8:30am to 5:00pmWe are working with a growing Managed Service Provider seeking a motivated 1st / 2nd Line Support Engineer to support their expanding client base. This role will involve a mix of BAU support and project-based work, offering excellent variety and development opportunities. The 1st / 2nd Line Support Engineer will have a proactive, can-do attitude, strong communication skills and a genuine passion for IT. They are looking for someone eager to learn, develop their technical expertise and progress within the business. The 1st / 2nd Line Support Engineer will receive bespoke training, funded training courses and ongoing support, along with clear opportunities to take on greater responsibility and progress both professionally and financially. Essential skills - 1st / 2nd Line Support Engineer: Active Directory & Entra IDOffice 365 - MS Teams, SharePoint, ExchangeHardware Support - Break fix and printer set upsKnowledge of networking principles - DNS, DHCP, VPNKnowledge on FirewallKnowledge on backupsDrivers licenseWilling to learnTroubleshooting mindsetExcellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: Group PoliciesConfigured Firewalls and switchesIntuneCertificationsMSP Experience If you're an ambitious 1st / 2nd Line Support Engineer eager to grow your skills and progress within a supportive and expanding MSP environment, apply today with your latest CV to be considered. IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst

AI Solutions Architect (Innovation & GenAI) Salary: Up to £120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value.The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions.Responsibilities for the AI Solutions Architect:Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-awareProvide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real timeDevelop and maintain reusable reference architectures, patterns and templates to accelerate AI solution deliveryEvaluate emerging AI tools, platforms and services, making informed build-versus-buy decisionsDesign cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalabilityDefine lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIsEstablish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible useDesign AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisionsMentor engineers and developers through architectural guidance, reviews and best-practice sharingBuild architectural knowledge across multiple domains to support diverse use cases and enterprise contextsAlign solutions with established enterprise standards and architectural principlesEssential Skills for the AI Solutions Architect:Strong expertise in Python and JavaScriptHands-on experience with backend frameworks and modern frontend frameworksDeep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patternsStrong experience working with vector databases and AI-specific data storesSolid understanding of AI and ML models, LLMs and generative AI architecturesExperience implementing governance frameworks for model selection, deployment and lifecycle managementHands-on experience with AI-assisted development toolsStrong knowledge of cloud AI and ML platforms and associated architecture patternsExperience designing and managing APIs including REST and GraphQLStrong understanding of microservices and serverless architecturesPractical experience with DevOps and MLOps practices including CI/CD pipelinesKnowledge of security frameworks, identity management and authentication standardsDesirable Skills for the AI Solutions Architect:Experience with enterprise integration patterns and event-driven architecturesExposure to data engineering and data platform architecturesExperience with Infrastructure as Code toolsIf you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.

Artificial Intelligence Architect Salary: Up to £100,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes.The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions.Responsibilities for the Artificial Intelligence Architect:Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business casesAct as a trusted advisor during discovery sessions, workshops and bid processesTranslate business requirements into enterprise-grade Data and AI architecturesDesign and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflowsLead complex AI implementations, ensuring solutions deliver measurable valueEvaluate and select appropriate models, frameworks, orchestration tools and platformsArchitect and scale LLM-powered applications including chatbots and agent-based systemsProduce thought leadership content and contribute to go-to-market propositionsMaintain strong awareness of emerging technologies and the competitive AI landscapeCollaborate closely with data science, engineering and business teams to design robust end-to-end solutionsContribute to account strategy, aligning technical delivery with business prioritiesDrive productivity improvements and cost optimisation through intelligent automationEssential Skills for the Artificial Intelligence Architect:Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automationStrong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOpsExperience delivering enterprise-scale RAG solutions using LLMs and vector databasesAbility to design AI platforms that integrate with existing enterprise technology stacksHands-on experience with core GenAI frameworks and agent-based AI conceptsStrong deployment experience on at least one major cloud platform including AI and ML servicesSolid software engineering foundation for building scalable, maintainable AI systemsAdvanced Python expertise with AI and ML frameworksExperience with MLOps and LLMOps tooling including containerisation and orchestration platformsProven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluationStrong understanding of advanced agent architectures, reasoning systems and evaluation methodologiesExcellent stakeholder engagement and consulting capabilityExperience leading and mentoring teams of AI or software engineersIf you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full timeA globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains.The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes.Responsibilities for the AI Engineer:Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cyclesLead technical delivery during workshops, discovery sessions and innovation sprintsBuild and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based modelsDevelop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrationsWork across varied business contexts, quickly understanding requirements and adapting AI approaches accordinglyEvaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future deliveryEngage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearlyApply security, data protection and AI safety principles across all delivered solutionsEssential Skills for the AI Engineer:Strong experience with Python plus JavaScriptHands-on experience with AI-assisted development toolsExperience building RESTful APIs using frameworks such as Flask or DjangoStrong SQL capability including PostgreSQL or MySQL plus experience with vector databasesExperience working with microservices or serverless architecturesPractical exposure to machine learning plus generative AI models including LLMs SLMs vision modelsFamiliarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworksHands-on cloud experience within Azure or AWS plus CI/CD tooling and GitDesirable Skills for the AI Engineer:Experience using Pandas NumPy or PyTorchExposure to NodeJS VueJS or equivalent frontend technologiesIf you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation.The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability.Responsibilities for the AI Ops Engineer:Design, build and operate deployment pipelines for AI models, prompts and supporting artefactsOwn lifecycle management including versioning, promotion, rollback and retirement of AI solutionsImplement monitoring and observability covering performance, usage, drift and data qualityEnsure AI systems meet security, compliance and governance requirementsOptimise inference performance, scalability and cost efficiencyManage infrastructure supporting training and inference including cloud platforms, containers and GPU resourcesEnable reproducibility through experiment tracking and artefact managementSupport incident response, root-cause analysis and resolution of AI-related failuresCollaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructureDevelop and maintain CI/CD pipelines for machine learning workloadsMaintain standards for version control, testing and technical documentationWork with cross-functional teams to integrate AI solutions into existing platforms and workflowsStay current with advancements in MLOps, DevOps and AI operations, driving continuous improvementEssential Skills for the AI Ops Engineer:Strong experience operating machine learning or AI systems in production environmentsHands-on experience with CI/CD pipelines for data or ML workloadsExperience managing cloud-based infrastructure for AI workloadsSolid understanding of monitoring, observability and operational resilienceStrong collaboration skills with the ability to work across engineering and data teamsExperience supporting secure, compliant and well-governed systemsDesirable Skills for the AI Ops Engineer:Experience integrating Python-based services with modern front-end frameworksFamiliarity with MLOps practices for deploying, monitoring and managing AI systemsExposure to large-scale enterprise data environments or knowledge management systemsUnderstanding of Agile delivery practices and collaborative toolingKnowledge of data security, compliance and responsible AI principlesDomain exposure within engineering or manufacturing environmentsIf you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance. AI, Artificial Intelligence

Accessibility (Lift Specialist) - 12 Months - Salisbury - SC ClearedContract Length: 12 MONTHSLocation: Salisbury, full-time onsiteIR35: INSIDE IR35Pay Rate to Candidate: £874 per dayA leading Defence Institution is seeking an Accessibility/Lifting Specialist, with proven experience managing lifting operations, including planning and supervising complex lifts.Minimum Requirement:Proven experience managing lifting operations, including planning and supervising complex lifts.In-depth knowledge of lifting legislation, regulations, and safety standards.Strong understanding of contract lift documentation and assurance processes.Familiarity with asset management practices, including CAFM systems.Strong leadership and communication skills with ability to engage stakeholders at all levels.Ability to analyse and review technical documentation.Demonstrable experience in assurance activities (L1, 2 & 3)Complex/Heavy lifting experienceDesirable:Membership of a recognised professional body (e.g., Lifting Equipment Engineers Association - LEEA).Training/qualification as Appointed Person (Lifting Operations).Previous experience in Defence or high-security environments.Job spec:Provide a single competent authority accountable for lifting assuranceStandardise lifting governance across sitesEnsure alignment with Safe to Start and regulatory obligationsTrain and develop a designated taff member to AP competency level to enable long-term Internal resilience and continuityProvide professional advice and guidance for lifting.Develop, implement and maintain Lifting Policy, process and related forms and documentation.Prepare, review, and approve lifting plans and associated documentation.Supervise and oversee complex lifts on site when required.Review contract lift safety documentation and lift plans prior to execution.

Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per weekA globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption.The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments.Responsibilities for the Senior GCP VDC Network Engineer:Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloadsConfigure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivityImplement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integrationDevelop and manage Infrastructure as Code for network resources using Terraform and Terraform CloudAutomate network provisioning and configuration workflows using PythonEnforce GCP organisation policies covering network security, encryption and access controlIntegrate network deployments into CI/CD pipelines to enable automated provisioning and updatesImplement policy-as-code guardrails for network governanceOptimise network performance, reliability and resilience through monitoring and proactive tuningCollaborate with security teams to implement best practice network controlsSupport migration of legacy network configurations into unified, reusable templatesTroubleshoot and resolve complex networking issues across GCP VDC environmentsProvide technical leadership and mentoring to engineers within the teamEssential Skills for the Senior GCP VDC Network Engineer:Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peeringProven experience delivering hybrid connectivity using Cloud VPN and InterconnectStrong Infrastructure as Code expertise using Terraform and Terraform CloudPython scripting for automation and toolingExperience integrating network automation into CI/CD pipelinesKnowledge of GCP organisation policies and policy-as-code frameworksGCP certification, ideally Professional Cloud Network EngineerDesirable Skills for the Senior GCP VDC Network Engineer:Experience with enterprise cloud engineering platformsStrong stakeholder engagement and communication capabilityExperience operating as a senior SME within cloud engineering teamsIf you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.

Senior GCP Apigee Engineer Salary: up to £90,000 + Bonus + Benefits Location: Hybrid - 2 days per week onsite (Bristol, Leeds, Halifax, Manchester or Edinburgh) Working Hours: 40 hours per weekA globally established organisation is seeking a Senior GCP Apigee Engineer to join a Public Cloud Platform function, delivering secure, scalable and compliant API solutions across enterprise environments. This is a senior, hands-on engineering role focused on modernising API gateways, automating deployments and enabling cloud-native integration across Google Cloud.The Senior GCP Apigee Engineer role is suited to an experienced Apigee specialist who combines deep API management expertise with strong DevOps capability, enjoys working within cross-disciplinary feature teams and can contribute to scalable cloud product delivery.Responsibilities for the Senior GCP Apigee Engineer:Design, build and manage API proxies, policies and configurations within Google ApigeeDevelop and maintain CI/CD pipelines supporting full API lifecycle managementImplement and enforce API security policies including OAuth, JWT, mTLS, rate limiting and threat protectionAutomate Apigee deployments and configurations using Infrastructure as Code principlesIntegrate Apigee with Google Cloud services including Cloud Functions, Pub/Sub and BigQueryDevelop automation scripts and operational workflows using PythonManage API analytics, monitoring and logging to ensure performance and complianceEnforce governance standards and organisation policies across API ecosystemsCollaborate with DevOps teams to deploy containerised components within GKE environmentsOptimise API performance using caching, quota management and intelligent traffic routingSupport migration of legacy APIs into modernised Apigee frameworksStandardise reusable templates and patterns for enterprise API developmentEssential Skills for the Senior GCP Apigee Engineer:Strong hands-on experience with Google Apigee API ManagementProven experience implementing CI/CD pipelines for API deploymentsStrong Python scripting capability for automationExperience with Jenkins, GitHub Actions or similar pipeline toolingKnowledge of container orchestration within Google Kubernetes EngineUnderstanding of API security standards and policy-as-code frameworksExperience working within enterprise cloud environmentsGCP certification, ideally Apigee Certified API EngineerDesirable Skills for the Senior GCP Apigee Engineer:Experience with Terraform or Terraform Cloud for Infrastructure as CodeFamiliarity with API development platformsStrong communication and stakeholder engagement skillsExperience operating as a senior SME within cloud engineering teamsIf you are an experienced GCP Apigee Engineer with strong API architecture and automation expertise, looking to lead scalable enterprise API initiatives within a cloud-first environment, please apply in the immediate instance.

Cyber Security Analyst Salary: Up to £70,000 + Bonus + Benefits Location: London - 3-5 days per week onsite Working Hours: 40 hours per week - Full timeA globally established organisation is seeking a Cyber Security Analyst to join its Security Operations function, playing a key role in strengthening cyber resilience and protecting critical enterprise systems. This is a hands-on operational security role focused on threat detection, incident response and continuous improvement of security monitoring capabilities.The position of Cyber Security Analyst is suited to an experienced security professional who thrives in fast-paced environments, enjoys investigative work and can collaborate effectively across technical and business stakeholders.Responsibilities for the Cyber Security Analyst:Monitor, investigate and respond to security alerts across SIEM platforms and ticketing systems, managing incidents through to resolutionParticipate in an on-call rota to support live security incidentsManage incident queues and approvals within IT service management toolsAct as a subject matter expert for nominated security technologies, ensuring effective configuration and optimisationSupport assurance activities relating to Managed Security Service ProvidersMaintain and enhance SecOps processes and documentation to enable knowledge sharingInvestigate security events, perform vulnerability analysis and support remediation activitiesAnalyse cyber threat intelligence and translate insights into actionable detection improvementsProcess indicators of compromise and indicators of attack to enhance detection rulesConduct proactive threat hunting based on emerging threatsPerform confidential eDiscovery investigations and present findings where requiredCollaborate with IT teams and stakeholders to strengthen overall security postureEssential Skills for the Cyber Security Analyst:Strong experience in security use case development and security tooling operationsPractical experience with SIEM platforms and vulnerability management solutionsSolid understanding of Security Operations processes and incident response frameworksKnowledge of networking fundamentals, IAM, perimeter controls and operating systemsUnderstanding of cloud security controls and container securityExperience with EDR tooling and familiarity with the MITRE ATT&CK frameworkExperience with scripting or basic coding for automationExperience conducting investigations including eDiscoveryIndustry recognised security certifications such as CISSP, GIAC or CEHStrong analytical, problem-solving and stakeholder communication skillsAbility to perform effectively under pressure during security incidentsDesirable Skills for the Cyber Security Analyst:Exposure to retail sector environmentsExperience working with Managed Security Service ProvidersStrong collaboration and influencing capabilityCuriosity around emerging cyber threats and defensive strategiesIf you are an experienced Cyber Security Analyst with strong investigative capability and a passion for proactive security operations, please apply in the immediate instance.Cyber Security Analyst, Cyber Defence Analyst, Security Analyst, Security Operations Analyst, Cyber Security Operations Analyst, Security Incident Analyst

Project Manager - 12 months - £500 per day (Inside IR35)IR35: InsideDuration: 12 monthsLocation: Remote with occasional on-site visitsThe role:A leading Government Institution are seeking a Project Manager, to undertake an initial 12-month engagement.This role is predominantly remote and would suit a Project Manager with prior experience of delivery Digital services.Essential Experience & SkillsExperience delivering large-scale software initiatives, ideally within a public sector or government environment.Background working within or alongside a Project Management Office (PMO) function in structured delivery settings.Demonstrated success leading complex programmes or projects involving multiple external vendors and cross-functional teams.Experience building and maintaining integrated delivery schedules, including critical path analysis and dependency management.Involvement in system upgrades or transformation initiatives affecting JavaScript-based platforms or applications.Strong technical literacy, enabling effective dialogue with architects and engineering teams, constructive challenge of assumptions, and informed risk assessment.Proven ability to build effective relationships with senior leaders, delivery teams, and supplier organisations.Methodology (e.g. PRINCE2, MSP, Agile frameworks).If available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Senior Internet Security Engineer Salary: up to £70,000 + Bonus + Benefits Location: Coventry - 3 days per week onsite Working Hours: 40 hours per weekAn established organisation is seeking an Senior Internet Security Engineer to join its security architecture function, leading the design and evolution of enterprise cloud security capabilities. This is a senior technical role focused on Secure Web Gateway, Cloud Access Security Broker and Data Loss Prevention technologies, supporting a broader Zero Trust and modern security strategy.The Senior Internet Security Engineer position is suited to an experienced security professional who combines deep technical expertise with strong stakeholder engagement and the ability to deliver scalable, future-ready security solutions across complex enterprise environments.Responsibilities for the Internet Security Engineer:Design and implement Internet Security policies to protect corporate endpoints across enterprise environmentsDefine, enable and review Secure Web Gateway and CASB configurations, including traffic steering and policy optimisationAnalyse data exfiltration risks and architect robust Data Loss Prevention strategiesApply advanced SSL inspection techniques, defining secure decryption bypass policies while maintaining protection standardsCollaborate with Security Operations to enhance controls, manage exceptions and apply ad-hoc site restrictionsAdminister and optimise the Netskope tenant, including upgrades and performance improvementsDesign and build internal PKI solutions, integrating with certificate lifecycle management and cloud HSM platformsDefine certificate templates and enhance cryptographic resilience through modern PKI practicesArchitect and deliver Zero Trust Network Access frameworks, including VPN migration and network segmentation initiativesDiscover VPN-dependent applications and define firewall changes to support ZTNA transitionSupport cyber resilience initiatives including segmentation and kill-switch requirementsManage proxy access control configurations and coordinate with network teams for implementationPartner with enterprise compute teams to deploy, upgrade and maintain Internet Security tooling across endpointsManage EntraID enterprise applications, ensuring SSO, SCIM and identity provider integrations are maintainedMentor junior engineers and contribute to security automation initiativesEssential Skills for the Internet Security Engineer:Strong expertise in Internet Security architecture including policy design, SSL inspection and Data Loss Prevention strategiesProven experience implementing Secure Web Gateway, CASB and Netskope administration within enterprise environmentsExperience integrating identity platforms including EntraID for SSO and access controlStrong background in PKI design, certificate lifecycle management and cryptographic security practicesExperience implementing Zero Trust Network Access and supporting VPN modernisation programmesStrong collaboration skills with experience working across Security Operations, Network and Enterprise Compute teamsDetail-oriented approach with the ability to deliver scalable, compliant and resilient security frameworksIf you are an experienced security architect with strong Netskope expertise and a passion for designing modern Internet Security solutions, please apply in the immediate instance.Internet Security Engineer, Netskope Engineer

Job title: 1st / 2nd Line Support EngineerLocation: Chessington - Fully OnsiteSalary: £30,000 to £40,000 + BenefitsStart date: ASAPWorking hours: 9:00am to 5:30pm and 8:30am to 5:00pmWe are working with a growing Managed Service Provider seeking a motivated 1st / 2nd Line Support Engineer to support their expanding client base. This role will involve a mix of BAU support and project-based work, offering excellent variety and development opportunities. The 1st / 2nd Line Support Engineer will have a proactive, can-do attitude, strong communication skills and a genuine passion for IT. They are looking for someone eager to learn, develop their technical expertise and progress within the business. The 1st / 2nd Line Support Engineer will receive bespoke training, funded training courses and ongoing support, along with clear opportunities to take on greater responsibility and progress both professionally and financially. Essential skills - 1st / 2nd Line Support Engineer: Active Directory & Entra IDOffice 365 - MS Teams, SharePoint, ExchangeHardware Support - Break fix and printer set upsKnowledge of networking principles - DNS, DHCP, VPNKnowledge on FirewallKnowledge on backupsDrivers licenseWilling to learnTroubleshooting mindsetExcellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: Group PoliciesConfigured Firewalls and switchesIntuneCertificationsMSP Experience If you're an ambitious 1st / 2nd Line Support Engineer eager to grow your skills and progress within a supportive and expanding MSP environment, apply today with your latest CV to be considered. IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst

AI Solutions Architect (Innovation & GenAI) Salary: Up to £120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value.The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions.Responsibilities for the AI Solutions Architect:Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-awareProvide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real timeDevelop and maintain reusable reference architectures, patterns and templates to accelerate AI solution deliveryEvaluate emerging AI tools, platforms and services, making informed build-versus-buy decisionsDesign cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalabilityDefine lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIsEstablish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible useDesign AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisionsMentor engineers and developers through architectural guidance, reviews and best-practice sharingBuild architectural knowledge across multiple domains to support diverse use cases and enterprise contextsAlign solutions with established enterprise standards and architectural principlesEssential Skills for the AI Solutions Architect:Strong expertise in Python and JavaScriptHands-on experience with backend frameworks and modern frontend frameworksDeep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patternsStrong experience working with vector databases and AI-specific data storesSolid understanding of AI and ML models, LLMs and generative AI architecturesExperience implementing governance frameworks for model selection, deployment and lifecycle managementHands-on experience with AI-assisted development toolsStrong knowledge of cloud AI and ML platforms and associated architecture patternsExperience designing and managing APIs including REST and GraphQLStrong understanding of microservices and serverless architecturesPractical experience with DevOps and MLOps practices including CI/CD pipelinesKnowledge of security frameworks, identity management and authentication standardsDesirable Skills for the AI Solutions Architect:Experience with enterprise integration patterns and event-driven architecturesExposure to data engineering and data platform architecturesExperience with Infrastructure as Code toolsIf you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.

Artificial Intelligence Architect Salary: Up to £100,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes.The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions.Responsibilities for the Artificial Intelligence Architect:Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business casesAct as a trusted advisor during discovery sessions, workshops and bid processesTranslate business requirements into enterprise-grade Data and AI architecturesDesign and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflowsLead complex AI implementations, ensuring solutions deliver measurable valueEvaluate and select appropriate models, frameworks, orchestration tools and platformsArchitect and scale LLM-powered applications including chatbots and agent-based systemsProduce thought leadership content and contribute to go-to-market propositionsMaintain strong awareness of emerging technologies and the competitive AI landscapeCollaborate closely with data science, engineering and business teams to design robust end-to-end solutionsContribute to account strategy, aligning technical delivery with business prioritiesDrive productivity improvements and cost optimisation through intelligent automationEssential Skills for the Artificial Intelligence Architect:Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automationStrong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOpsExperience delivering enterprise-scale RAG solutions using LLMs and vector databasesAbility to design AI platforms that integrate with existing enterprise technology stacksHands-on experience with core GenAI frameworks and agent-based AI conceptsStrong deployment experience on at least one major cloud platform including AI and ML servicesSolid software engineering foundation for building scalable, maintainable AI systemsAdvanced Python expertise with AI and ML frameworksExperience with MLOps and LLMOps tooling including containerisation and orchestration platformsProven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluationStrong understanding of advanced agent architectures, reasoning systems and evaluation methodologiesExcellent stakeholder engagement and consulting capabilityExperience leading and mentoring teams of AI or software engineersIf you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full timeA globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains.The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes.Responsibilities for the AI Engineer:Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cyclesLead technical delivery during workshops, discovery sessions and innovation sprintsBuild and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based modelsDevelop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrationsWork across varied business contexts, quickly understanding requirements and adapting AI approaches accordinglyEvaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future deliveryEngage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearlyApply security, data protection and AI safety principles across all delivered solutionsEssential Skills for the AI Engineer:Strong experience with Python plus JavaScriptHands-on experience with AI-assisted development toolsExperience building RESTful APIs using frameworks such as Flask or DjangoStrong SQL capability including PostgreSQL or MySQL plus experience with vector databasesExperience working with microservices or serverless architecturesPractical exposure to machine learning plus generative AI models including LLMs SLMs vision modelsFamiliarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworksHands-on cloud experience within Azure or AWS plus CI/CD tooling and GitDesirable Skills for the AI Engineer:Experience using Pandas NumPy or PyTorchExposure to NodeJS VueJS or equivalent frontend technologiesIf you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation.The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability.Responsibilities for the AI Ops Engineer:Design, build and operate deployment pipelines for AI models, prompts and supporting artefactsOwn lifecycle management including versioning, promotion, rollback and retirement of AI solutionsImplement monitoring and observability covering performance, usage, drift and data qualityEnsure AI systems meet security, compliance and governance requirementsOptimise inference performance, scalability and cost efficiencyManage infrastructure supporting training and inference including cloud platforms, containers and GPU resourcesEnable reproducibility through experiment tracking and artefact managementSupport incident response, root-cause analysis and resolution of AI-related failuresCollaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructureDevelop and maintain CI/CD pipelines for machine learning workloadsMaintain standards for version control, testing and technical documentationWork with cross-functional teams to integrate AI solutions into existing platforms and workflowsStay current with advancements in MLOps, DevOps and AI operations, driving continuous improvementEssential Skills for the AI Ops Engineer:Strong experience operating machine learning or AI systems in production environmentsHands-on experience with CI/CD pipelines for data or ML workloadsExperience managing cloud-based infrastructure for AI workloadsSolid understanding of monitoring, observability and operational resilienceStrong collaboration skills with the ability to work across engineering and data teamsExperience supporting secure, compliant and well-governed systemsDesirable Skills for the AI Ops Engineer:Experience integrating Python-based services with modern front-end frameworksFamiliarity with MLOps practices for deploying, monitoring and managing AI systemsExposure to large-scale enterprise data environments or knowledge management systemsUnderstanding of Agile delivery practices and collaborative toolingKnowledge of data security, compliance and responsible AI principlesDomain exposure within engineering or manufacturing environmentsIf you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance. AI, Artificial Intelligence