Artificial Intelligence Jobs

Latest UK roles, updated daily.

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Senior Enterprise Sales Account Manager, Media and Entertainment

This role involves driving sales and strategic partnerships within the Media and Entertainment sector across the UK, focusing on identifying growth opportunities and promoting NVIDIA's computing platform. The individual will work closely with key customers and partners to develop use cases, build market presence, and demonstrate value through success stories. It requires deep industry knowledge, technical understanding of datacentre and cloud technologies, and active engagement in ecosystem development.

NVIDIA United Kingdom
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Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA Germany
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Relational Foundation Model Engineer, Modern Data Stack

This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.

NVIDIA
NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.

NVIDIA
NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA
NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA
NVIDIA logo

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's Grace CPU architecture, focusing on hardware-software co-design to optimise AI and HPC workloads. You'll work on compiler optimisation, contribute to open-source projects like LLVM and GCC, and collaborate with distributed teams to improve performance across data centre and supercomputing environments. The position plays a key role in advancing next-generation computing technologies through deep technical innovation.

NVIDIA
NVIDIA logo

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimising compiler toolchains for NVIDIA CPUs like Grace, and contributing to open-source projects such as LLVM and GCC. Collaboration with pre-silicon teams and upstream communities is central to improving performance across data centres and supercomputing environments.

NVIDIA
NVIDIA logo

Senior CPU Compiler Performance Engineer

This role involves developing and optimizing compiler software for NVIDIA's CPUs, with a focus on performance in AI and high-performance computing workloads. You'll work on hardware-software co-design, contribute to open-source compiler projects like LLVM or GCC, and collaborate with distributed teams to improve compiler toolchains. The position is central to advancing NVIDIA's next-generation computing platforms in data centers and supercomputing environments.

NVIDIA

Forward Deployed Engineer

This role involves working directly with client teams to design, build, and deploy AI-driven solutions in live research environments. You will translate complex research questions into production-ready workflows, optimize LLM applications, and integrate data pipelines across cloud platforms. The role also includes collaborating with non-technical stakeholders and feeding learnings back into the product and engineering teams.

Harnham - Data and Analytics Recruitment Manchester, United Kingdom £80,000 – £130,000 pa
Remote Permanent

Data Engineer

This role involves designing and building scalable data platforms, establishing robust data engineering foundations, and ensuring data environments are AI-ready. You will work closely with senior stakeholders, advise on best practices, and operate across varied data maturity levels and technology stacks within different businesses.

Harnham - Data and Analytics Recruitment London, United Kingdom £100,000 – £120,000 pa
Hybrid Permanent

Python Developer - Security - Cambridge/London

Develop backend services and production-ready components using Python in a research-driven, security-focused environment. Collaborate with ML/AI researchers and SREs to translate prototypes into features, while contributing to CI/CD, containerisation, and cloud deployment workflows. Work in small, cross-functional teams with an emphasis on clean, testable code and clear communication during high-cadence development cycles.

Salt Search Cambridge, United Kingdom £55,000 pa

Quant Engineering & AI Assurance Expert

This role involves industrialising and automating Balance Sheet Modelling workflows in a regulated financial services environment. The candidate will engineer robust, production-ready quantitative and AI-enabled solutions using Python and modern software practices, while establishing testing, validation, and governance frameworks. Key responsibilities include ensuring model risk compliance, providing AI assurance, and supporting procurement and audit readiness across a distributed, remote-first team.

Lorien London, United Kingdom

DX and Artificial Intelligence Transformation AVP

Drive digital transformation by designing and implementing automation and AI solutions using Power Platform, Tungsten Automation, and generative AI tools like Copilot. Collaborate with stakeholders to improve business processes, deliver scalable digital solutions, and integrate AI agents into operational workflows. Focus on enhancing efficiency and user experience across a global banking environment.

Robert Walters London, United Kingdom

Principal Data Engineer

The Principal Data Engineer will lead technical design and delivery of Breedon’s enterprise data platform on Microsoft Fabric and Azure, establishing engineering standards and building scalable, secure data pipelines. This role involves mentoring engineers, modernising legacy systems, and driving innovation in data architecture and AI integration. The position plays a key role in enabling trusted data access across analytics, automation, and AI use cases.

Breedon Group Alfreton, United Kingdom