Machine Learning Jobs

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Senior CPU Compiler Performance Engineer

Develop high-performance CPU compilers for NVIDIA's next-generation data center technologies, focusing on hardware-software co-design and optimisation for AI and HPC workloads. Collaborate with global teams and open-source communities to advance compiler toolchains and improve system-level performance. Work closely with pre-silicon teams to influence architecture and deliver cutting-edge compute solutions.

NVIDIA

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's next-generation CPUs, focusing on performance improvements for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design. Develop low-level compiler optimizations and contribute to upstream projects like LLVM and GCC.

NVIDIA

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 research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.

NVIDIA

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to advance compiler toolchains and influence next-generation compute architectures.

NVIDIA

Anthropic Fellows Program, ML Systems & Reinforcement Learning

Engage in a 4-month full-time empirical research project on ML systems and performance, mentored by Anthropic researchers. Work includes building CPU simulators, accelerator backends, or synthetic data pipelines using open-source tools and large-scale systems. Projects aim for public outputs such as papers, with access to significant compute resources and a collaborative AI safety research environment.

Anthropic United Kingdom

Hybrid Internship

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship

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 insights back into the product and engineering teams.

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

Remote Permanent

Data And Insight Analyst

This role involves designing and developing Power BI dashboards, analysing large datasets to uncover business insights, and building machine learning models to support data-driven decision-making. The analyst will lead a small team, mentor junior staff, and collaborate with senior stakeholders across a major FTSE 100 organisation. Work focuses on transforming procurement and supply chain operations through advanced analytics and cloud-based data platforms.

Compass Group UK & Ireland Chertsey, United Kingdom

Senior Vice President, AI Execution Manager - Issuer Services - Citi

This role leads the strategic implementation of AI across Citi's Issuer Services, focusing on developing client-facing AI solutions and driving internal AI adoption to enhance operational efficiency. The position requires balancing innovation with commercial discipline, ensuring responsible AI governance, and scaling AI capabilities globally across a complex, regulated financial environment.

eFinancialCareers London, United Kingdom

Senior Software Engineer - AI Products SVP - Citi

This role involves designing and building production-grade AI software for enterprise use, focusing on Generative AI applications such as intelligent document processing, data extraction, fraud detection, and workflow automation. The engineer will solve novel, first-of-a-kind problems in a regulated banking environment, balancing model performance with resilience, explainability, and auditability. Work includes end-to-end ownership of technical solutions, from experimentation to deployment, within a collaborative, flat team structure.

eFinancialCareers London, United Kingdom

Data Engineering Consultant, Data Bricks, Snowflake, Fabric, Consulting, City of London

This role involves delivering data engineering and analytics solutions for external clients, with a focus on financial services and regulatory compliance. The consultant will work on data platforms like Databricks, Snowflake, and Microsoft Fabric, supporting audit automation and advising on data governance and AI model validation. The position requires a versatile, client-facing technologist comfortable with travel and hybrid working.

Carrington Recruitment Solutions Ec2M4Yf, United Kingdom £120,000 – £160,000 pa

Python Developer - Security - Cambridge/London

Develop and maintain Python-based backend services and production-ready components in a research-driven, security-focused environment. Collaborate with ML/AI researchers and SREs to transition prototypes into scalable systems, with involvement in CI/CD, containerisation, and cloud deployment. Work in a high-cadence, cross-functional team environment emphasising clean, testable code and clear communication of technical trade-offs.

Salt Search Cambridge, United Kingdom £55,000 pa

Hybrid Permanent Clearance Required