Dubai Sectors

Involved Solutions has partnered on an exciting greenfield build in the UAE, and we're hiring a Product Owner to lead the Financial Crime & Compliance workstream from the ground up. This covers onboarding and KYC, transaction monitoring, sanctions and watchlist screening, fraud detection, and case management, and it's one of the earliest pieces of infrastructure that needs to land.We're looking for someone who has genuinely built these products before rather than inherited and maintained them, and who can move comfortably between compliance and risk conversations and technical delivery discussions.About the role:Own the product direction, working closely with the business lead to decide what gets built and in what orderRun the requirements process from end to end, taking domain input and turning it into clear, buildable specsLead delivery of the onboarding and screening capability, including KYC/CDD, sanctions and PEP screening, watchlist management, and risk-rating logicOwn the monitoring and investigation capability, including transaction monitoring, fraud alerting, and regulatory reporting workflowsWork across engineering, design, operations, risk, and compliance to manage dependencies and keep delivery on trackReport progress and flag risk at senior stakeholder levelContract role initially to May 2027, with strong likelihood of a further 12-month extension About you:10+ years' experience, having built a product like this from scratch or through a major overhaul, in areas like onboarding, screening, monitoring, or case managementExperience coordinating delivery across engineering, operations, risk, and compliance in a banking or fintech settingConfident pushing back on senior stakeholders, including second-line risk and compliance functionsTechnically literate enough to challenge an engineering team on APIs, event-driven systems, or rules engines, without needing to write code yourselfBackground in AML, fraud, sanctions, KYC, or regulatory compliance product work; vendor platform exposure (e.g. Actimize, SAS, Quantexa, ComplyAdvantage, Napier, Featurespace) is a plusUAE/GCC regulatory familiarity (CBUAE, goAML) useful but not essentialComfortable building in ambiguity rather than optimising something that already exists

We have partnered with a large, established family conglomerate in Saudi Arabia to hire an AI Engineer. This is a business with deep roots, significant assets and a leadership team that has made a serious commitment to embedding AI across its operations. The scale of what is being built here is rare, and for an AI Engineer at this stage of their career, the exposure, complexity and longevity of the work on offer is genuinely compelling. This is a hands-on role for someone who builds AI systems that ship and perform in production, across a diverse portfolio of business functions. About the role:Design, build and deploy production-grade AI and ML systems across multiple business units within the GroupDevelop LLM-based applications including RAG pipelines, agentic workflows and tool-use systems that solve real business problemsBuild and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architectureWork with vector databases, embedding models and retrieval frameworks to deliver accurate, scalable AI solutionsEnsure deployed systems meet production standards across performance, reliability, observability and cost efficiencyCollaborate with product, data and engineering stakeholders to translate business requirements into well-architected AI solutions About you:3 to 5 years of hands-on experience in AI or ML engineering with a clear track record of deploying systems into productionStrong Python skills and practical experience with frameworks such as TensorFlow, PyTorch or Hugging FaceHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorFamiliarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patternsSolid understanding of cloud platforms including AWS, Azure or GCPStrong communicator comfortable working across technical and non-technical teams

We have partnered with a large, established family conglomerate in Saudi Arabia to hire a DevOps Engineer. This is a business operating across multiple sectors with a growing technology function at its centre. As the Group accelerates its digital and AI agenda, the infrastructure and delivery capability that supports it becomes increasingly critical. You will be joining at a moment where what you build will have a direct and lasting impact on how the Group's technology function operates. This role suits an engineer who takes pride in building infrastructure that holds up at scale and a deployment culture that lets engineering teams move fast without cutting corners.About the role:Own and evolve cloud infrastructure across the Group, ensuring environments are scalable, resilient and cost-efficientBuild and maintain CI/CD pipelines that enable fast, reliable and repeatable software delivery across multiple teams and business unitsLead containerisation and orchestration across development, staging and production environments using Kubernetes and DockerImplement infrastructure-as-code using tools such as Terraform or Ansible, reducing manual processes and increasing consistency across the GroupDefine and own observability standards including logging, monitoring, alerting and incident responseCollaborate with software engineering teams to embed DevOps culture and shared ownership across the delivery lifecycleContribute to platform architecture decisions with a focus on reliability, security and long-term scalability About you:3 to 5 years of experience in DevOps, platform or infrastructure engineering rolesHands-on experience with at least one major cloud provider, AWS, GCP or Azure, with a solid understanding of cloud-native services and architectureProduction-level experience with Kubernetes and container orchestration at scaleProven track record building and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI or JenkinsProficiency with infrastructure-as-code tooling, particularly TerraformSolid understanding of networking, security fundamentals and cloud cost managementExperience working within large, complex or multi-entity organisations is a strong advantage

We have partnered with a leading technology-driven business in the UAE to hire an AI Engineer. The UAE is one of the most active AI hiring markets in the world right now, and the best engineers here have their pick of opportunities across fintech, conglomerates, government-backed ventures and high-growth startups. This role sits within an organisation that is serious about AI, with the infrastructure, leadership and ambition to match. If you are weighing up your options in this market, this one is worth your attention. This is a hands-on engineering role for someone who builds things that ship. You will work on real AI systems in production, not prototypes that live in a slide deck. About the role:Design, build and deploy production-grade AI and ML systems across a range of business use cases, owning delivery from concept through to productionDevelop and maintain LLM-based applications including RAG pipelines, agentic workflows and tool-use systemsBuild and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architectureWork with vector databases, embedding models and retrieval frameworks to build accurate, scalable AI solutionsEnsure deployed systems meet production standards across performance, reliability, observability and cost efficiencyCollaborate with product, data and engineering stakeholders to translate business problems into well-architected AI solutionsStay current with emerging AI techniques and contribute new thinking to the teamAbout you:3 to 5 years of hands-on experience in AI or ML engineering, with a clear track record of deploying systems into productionStrong Python skills and practical experience with modern AI frameworks including TensorFlow, PyTorch or Hugging FaceHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorFamiliarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patternsSolid understanding of cloud platforms including AWS, Azure or GCP and how AI systems are deployed and maintained at scale

We have partnered with a Series B fintech startup to hire a Product Manager. This is a fully remote role. The business has found its footing, built a consumer product that customers rely on and is now scaling fast. The next phase is about depth as much as growth, taking what works and making it significantly better. This hire will own a core part of that, taking full responsibility for new features from brief through to delivery as the platform expands.This is a role for a PM who likes to be close to the work. You will have real ownership, a short decision-making chain and the satisfaction of seeing what you build land with real consumers at scale.About the role:Own the end-to-end delivery of new product features, from discovery and definition through to launch and iterationWork directly with customers and internal stakeholders to identify pain points, validate ideas and shape a roadmap that drives genuine product valuePartner with engineering and design to ship features at pace, maintaining a high bar for quality and consumer experienceDefine success metrics for each feature and use data to evaluate performance, inform prioritisation and drive continuous improvementContribute to roadmap planning alongside product leadership, balancing short-term delivery demands with longer-term platform visionWork cross-functionally with marketing, customer success and operations to ensure new features resonate with consumers and drive commercial outcomes About you:4 to 6 years of product management experience, ideally within a B2C fintech or consumer technology environmentProven track record of owning and shipping features that have made a measurable difference to consumers and the businessStrong instinct for consumer behaviour, with the ability to turn user insight into clear, well-scoped product decisionsComfortable working in a fast-moving, growth-stage environment where priorities shift and autonomy is expectedData-literate, with experience setting success metrics and using analytics to guide decisionsStrong communicator with the ability to align engineering, marketing and leadership stakeholdersFully remote, open to candidates globally

Job Title: AV Technician - Support & Installation Salary: between £150.00 to £175.00 per day Inside IR35Duration: Initially 3 months contract which is very likely to extend, along with the possibility of a permanent role being offered. Location: Central London Working hours: 9am - 5pm with days when you may start and finish an hour earlier or later.. There will be the chance to work overtime which you will be compensated for either financially or by time in lieu.A very exciting Client of ours are looking to hire an AV Technician to support with day to day support and events. The AV Technician will take be involved in supporting, installing, implementing and configuring simple and complex AV technologies to meet the needs of the business. As the AV Technician , you will be supporting Audio Visual presentations across theatres and studios, prioritising equipment repairs and replacements, and assisting the wider AV team.Responsibilities for the AV Engineer:Support, maintain and troubleshoot AV issuesSetting up and recording live streamsSupport, maintain and troubleshoot hardware issuesSupport events with their AV requirementsSupport AV installationsCreate documentation around all tickets completed and create user guidesStore, transport, assemble and disassemble AV equipmentEssential Skills for the AV Technician : The successful AV Support & Installation Engineer will have experience with the following: Audio Visual support experienceExperience working within an AV environment working with conference Centre and StudioGood experience working with Lighting and Sound systemsExperience working with mixing desks eg YamahaDiagnosing issues with MS Teams and hardwwarePrevious experience setting up video streams and recording video streamsAble to assist with physical installationsGood understanding of Signal flow and compressionTroubleshooting mindsetDetailed orientatedTime managementGood customer service skills including excellent verbal communication skillsDesirable Skills for the AV Support & Installation Engineer: It will be beneficial if the AV Support & Installation Engineer has experience or knowledge of any of the below: Completed AV installationsVMix, OBJMicrosoft WindowsSound EngineeringAny relevant certificationsIf you are interested in this great opportunity to become an AV Support & Installation Engineer that will allow you to enhance your skillset whilst working within a growing company which offers a lot of progression and funding towards certifications/training, then please apply in the immediate instance

We are partnered with a well-funded e-commerce startup in Riyadh, backed by a major retail group, to hire their first permanent CTO. The business is live and growing, but the technology ambition is far bigger than where it sits today. This is a build role and a management role.The incoming CTO will take ownership of the company's entire technology direction, architecting and building a fully integrated, proprietary platform spanning ecommerce, warehousing, order management, logistics, POS, marketplace operations, and data infrastructure. The goal is a scalable, internally owned ecosystem that gives the business a genuine edge across the GCC.About the role:Own and execute the long-term technology roadmapArchitect modular, API-first systems built for scale across omnichannel retail and ecommerce operationsBuild proprietary systems including WMS, OMS, ERP, POS, shipping infrastructure, and marketplace middlewareOversee architecture and all third-party integrationsBuild and lead high-performing engineering and product teamsManage internal developers alongside external agencies and system integratorsDrive execution at pace while maintaining stability and quality About you:10+ years in software engineering and technology leadershipStrong track record building proprietary systems across retail, ecommerce, logistics, or warehousingDeep knowledge of WMS, OMS, ERP, POS, and inventory architectureProven ability to build from scratch, not just configure SaaS toolsExperienced leading engineering teams in high-growth environmentsBuilder mentality with sharp operational instincts and a bias for executionBased in or willing to relocate to Riyadh

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

Involved Solutions has partnered on an exciting greenfield build in the UAE, and we're hiring a Product Owner to lead the Financial Crime & Compliance workstream from the ground up. This covers onboarding and KYC, transaction monitoring, sanctions and watchlist screening, fraud detection, and case management, and it's one of the earliest pieces of infrastructure that needs to land.We're looking for someone who has genuinely built these products before rather than inherited and maintained them, and who can move comfortably between compliance and risk conversations and technical delivery discussions.About the role:Own the product direction, working closely with the business lead to decide what gets built and in what orderRun the requirements process from end to end, taking domain input and turning it into clear, buildable specsLead delivery of the onboarding and screening capability, including KYC/CDD, sanctions and PEP screening, watchlist management, and risk-rating logicOwn the monitoring and investigation capability, including transaction monitoring, fraud alerting, and regulatory reporting workflowsWork across engineering, design, operations, risk, and compliance to manage dependencies and keep delivery on trackReport progress and flag risk at senior stakeholder levelContract role initially to May 2027, with strong likelihood of a further 12-month extension About you:10+ years' experience, having built a product like this from scratch or through a major overhaul, in areas like onboarding, screening, monitoring, or case managementExperience coordinating delivery across engineering, operations, risk, and compliance in a banking or fintech settingConfident pushing back on senior stakeholders, including second-line risk and compliance functionsTechnically literate enough to challenge an engineering team on APIs, event-driven systems, or rules engines, without needing to write code yourselfBackground in AML, fraud, sanctions, KYC, or regulatory compliance product work; vendor platform exposure (e.g. Actimize, SAS, Quantexa, ComplyAdvantage, Napier, Featurespace) is a plusUAE/GCC regulatory familiarity (CBUAE, goAML) useful but not essentialComfortable building in ambiguity rather than optimising something that already exists

We have partnered with a large, established family conglomerate in Saudi Arabia to hire an AI Engineer. This is a business with deep roots, significant assets and a leadership team that has made a serious commitment to embedding AI across its operations. The scale of what is being built here is rare, and for an AI Engineer at this stage of their career, the exposure, complexity and longevity of the work on offer is genuinely compelling. This is a hands-on role for someone who builds AI systems that ship and perform in production, across a diverse portfolio of business functions. About the role:Design, build and deploy production-grade AI and ML systems across multiple business units within the GroupDevelop LLM-based applications including RAG pipelines, agentic workflows and tool-use systems that solve real business problemsBuild and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architectureWork with vector databases, embedding models and retrieval frameworks to deliver accurate, scalable AI solutionsEnsure deployed systems meet production standards across performance, reliability, observability and cost efficiencyCollaborate with product, data and engineering stakeholders to translate business requirements into well-architected AI solutions About you:3 to 5 years of hands-on experience in AI or ML engineering with a clear track record of deploying systems into productionStrong Python skills and practical experience with frameworks such as TensorFlow, PyTorch or Hugging FaceHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorFamiliarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patternsSolid understanding of cloud platforms including AWS, Azure or GCPStrong communicator comfortable working across technical and non-technical teams

We have partnered with a large, established family conglomerate in Saudi Arabia to hire a DevOps Engineer. This is a business operating across multiple sectors with a growing technology function at its centre. As the Group accelerates its digital and AI agenda, the infrastructure and delivery capability that supports it becomes increasingly critical. You will be joining at a moment where what you build will have a direct and lasting impact on how the Group's technology function operates. This role suits an engineer who takes pride in building infrastructure that holds up at scale and a deployment culture that lets engineering teams move fast without cutting corners.About the role:Own and evolve cloud infrastructure across the Group, ensuring environments are scalable, resilient and cost-efficientBuild and maintain CI/CD pipelines that enable fast, reliable and repeatable software delivery across multiple teams and business unitsLead containerisation and orchestration across development, staging and production environments using Kubernetes and DockerImplement infrastructure-as-code using tools such as Terraform or Ansible, reducing manual processes and increasing consistency across the GroupDefine and own observability standards including logging, monitoring, alerting and incident responseCollaborate with software engineering teams to embed DevOps culture and shared ownership across the delivery lifecycleContribute to platform architecture decisions with a focus on reliability, security and long-term scalability About you:3 to 5 years of experience in DevOps, platform or infrastructure engineering rolesHands-on experience with at least one major cloud provider, AWS, GCP or Azure, with a solid understanding of cloud-native services and architectureProduction-level experience with Kubernetes and container orchestration at scaleProven track record building and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI or JenkinsProficiency with infrastructure-as-code tooling, particularly TerraformSolid understanding of networking, security fundamentals and cloud cost managementExperience working within large, complex or multi-entity organisations is a strong advantage

We have partnered with a leading technology-driven business in the UAE to hire an AI Engineer. The UAE is one of the most active AI hiring markets in the world right now, and the best engineers here have their pick of opportunities across fintech, conglomerates, government-backed ventures and high-growth startups. This role sits within an organisation that is serious about AI, with the infrastructure, leadership and ambition to match. If you are weighing up your options in this market, this one is worth your attention. This is a hands-on engineering role for someone who builds things that ship. You will work on real AI systems in production, not prototypes that live in a slide deck. About the role:Design, build and deploy production-grade AI and ML systems across a range of business use cases, owning delivery from concept through to productionDevelop and maintain LLM-based applications including RAG pipelines, agentic workflows and tool-use systemsBuild and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architectureWork with vector databases, embedding models and retrieval frameworks to build accurate, scalable AI solutionsEnsure deployed systems meet production standards across performance, reliability, observability and cost efficiencyCollaborate with product, data and engineering stakeholders to translate business problems into well-architected AI solutionsStay current with emerging AI techniques and contribute new thinking to the teamAbout you:3 to 5 years of hands-on experience in AI or ML engineering, with a clear track record of deploying systems into productionStrong Python skills and practical experience with modern AI frameworks including TensorFlow, PyTorch or Hugging FaceHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorFamiliarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patternsSolid understanding of cloud platforms including AWS, Azure or GCP and how AI systems are deployed and maintained at scale

We have partnered with a Series B fintech startup to hire a Product Manager. This is a fully remote role. The business has found its footing, built a consumer product that customers rely on and is now scaling fast. The next phase is about depth as much as growth, taking what works and making it significantly better. This hire will own a core part of that, taking full responsibility for new features from brief through to delivery as the platform expands.This is a role for a PM who likes to be close to the work. You will have real ownership, a short decision-making chain and the satisfaction of seeing what you build land with real consumers at scale.About the role:Own the end-to-end delivery of new product features, from discovery and definition through to launch and iterationWork directly with customers and internal stakeholders to identify pain points, validate ideas and shape a roadmap that drives genuine product valuePartner with engineering and design to ship features at pace, maintaining a high bar for quality and consumer experienceDefine success metrics for each feature and use data to evaluate performance, inform prioritisation and drive continuous improvementContribute to roadmap planning alongside product leadership, balancing short-term delivery demands with longer-term platform visionWork cross-functionally with marketing, customer success and operations to ensure new features resonate with consumers and drive commercial outcomes About you:4 to 6 years of product management experience, ideally within a B2C fintech or consumer technology environmentProven track record of owning and shipping features that have made a measurable difference to consumers and the businessStrong instinct for consumer behaviour, with the ability to turn user insight into clear, well-scoped product decisionsComfortable working in a fast-moving, growth-stage environment where priorities shift and autonomy is expectedData-literate, with experience setting success metrics and using analytics to guide decisionsStrong communicator with the ability to align engineering, marketing and leadership stakeholdersFully remote, open to candidates globally

Job Title: AV Technician - Support & Installation Salary: between £150.00 to £175.00 per day Inside IR35Duration: Initially 3 months contract which is very likely to extend, along with the possibility of a permanent role being offered. Location: Central London Working hours: 9am - 5pm with days when you may start and finish an hour earlier or later.. There will be the chance to work overtime which you will be compensated for either financially or by time in lieu.A very exciting Client of ours are looking to hire an AV Technician to support with day to day support and events. The AV Technician will take be involved in supporting, installing, implementing and configuring simple and complex AV technologies to meet the needs of the business. As the AV Technician , you will be supporting Audio Visual presentations across theatres and studios, prioritising equipment repairs and replacements, and assisting the wider AV team.Responsibilities for the AV Engineer:Support, maintain and troubleshoot AV issuesSetting up and recording live streamsSupport, maintain and troubleshoot hardware issuesSupport events with their AV requirementsSupport AV installationsCreate documentation around all tickets completed and create user guidesStore, transport, assemble and disassemble AV equipmentEssential Skills for the AV Technician : The successful AV Support & Installation Engineer will have experience with the following: Audio Visual support experienceExperience working within an AV environment working with conference Centre and StudioGood experience working with Lighting and Sound systemsExperience working with mixing desks eg YamahaDiagnosing issues with MS Teams and hardwwarePrevious experience setting up video streams and recording video streamsAble to assist with physical installationsGood understanding of Signal flow and compressionTroubleshooting mindsetDetailed orientatedTime managementGood customer service skills including excellent verbal communication skillsDesirable Skills for the AV Support & Installation Engineer: It will be beneficial if the AV Support & Installation Engineer has experience or knowledge of any of the below: Completed AV installationsVMix, OBJMicrosoft WindowsSound EngineeringAny relevant certificationsIf you are interested in this great opportunity to become an AV Support & Installation Engineer that will allow you to enhance your skillset whilst working within a growing company which offers a lot of progression and funding towards certifications/training, then please apply in the immediate instance

We are partnered with a well-funded e-commerce startup in Riyadh, backed by a major retail group, to hire their first permanent CTO. The business is live and growing, but the technology ambition is far bigger than where it sits today. This is a build role and a management role.The incoming CTO will take ownership of the company's entire technology direction, architecting and building a fully integrated, proprietary platform spanning ecommerce, warehousing, order management, logistics, POS, marketplace operations, and data infrastructure. The goal is a scalable, internally owned ecosystem that gives the business a genuine edge across the GCC.About the role:Own and execute the long-term technology roadmapArchitect modular, API-first systems built for scale across omnichannel retail and ecommerce operationsBuild proprietary systems including WMS, OMS, ERP, POS, shipping infrastructure, and marketplace middlewareOversee architecture and all third-party integrationsBuild and lead high-performing engineering and product teamsManage internal developers alongside external agencies and system integratorsDrive execution at pace while maintaining stability and quality About you:10+ years in software engineering and technology leadershipStrong track record building proprietary systems across retail, ecommerce, logistics, or warehousingDeep knowledge of WMS, OMS, ERP, POS, and inventory architectureProven ability to build from scratch, not just configure SaaS toolsExperienced leading engineering teams in high-growth environmentsBuilder mentality with sharp operational instincts and a bias for executionBased in or willing to relocate to Riyadh

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous