Machine Learning Jobs

Cambridge Consultants · United Kingdom

Take technical ownership of AI projects for defence and security clients, designing and building agentic systems that search, interpret and act on information. Lead smaller projects, mentor junior engineers, and work directly with clients on proposals and new work. Requires SC clearance and UK residency.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth performance analysis and optimisation for current and next-generation GPU architectures, working directly with application developers and collaborating with architecture, research, libraries, tools and system software teams.

Ocado · Andover

First-line response for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs while contributing to proactive reliability and efficiency projects, working hands-on with robotics, control systems and automation hardware. Shift-based cover for a 24/7 operation, including 12-hour day, night and weekend shifts and work at height.

Cambridge Consultants · United Kingdom

Design and develop electronic systems across diverse domains including aerospace, defence, and consumer devices, with hands-on involvement in hardware design, FPGA development, PCB layout, and lab-based testing. Work in multidisciplinary teams on cutting-edge projects such as secure satellite communications and 5G antenna systems, gaining exposure to embedded software and system-level integration. Benefit from structured mentoring and real-world client engagement from day one.

Wayve · London

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and storage infrastructure for ML training and inference. The role is people-first: coaching engineers, hiring, and owning roadmap and delivery, while guiding Kubernetes scheduling, capacity planning and cost trade-offs across heterogeneous GPU fleets.

Wayve · London

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. Diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Amazon · London

Designs and builds production-quality technical demos, sample code and starter projects showcasing AWS services, including generative AI and agentic solutions for keynotes and conferences. Acts as the in-region champion for global demo content, running enablement sessions and feeding regional insights back to the core team.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.

PhysicsX · New York, United States · US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation engineers and customers. Owns data pipelines and production-ready models, and travels to customer sites roughly 3-4 weeks per quarter to co-develop solutions on-site.

Amazon · Cambridge

Joins a research team advancing multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as fine-tuned LLM-as-judge. Analyses large offline and online datasets in Python to diagnose model failures and works with training, compiler and product teams to move models from prototype to production.

M4 Partners · Stratford-upon-Avon

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform. Work spans information extraction, classification, retrieval, summarisation and decision support, with a strong focus on structured JSON outputs, evaluation datasets and deployment into customer applications.

University of Oxford · Oxford · £49,119 – £59,955 pa

Lead a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings, running the lab's open-source software, producing policy-facing outputs, and guiding research assistants and students. Based in the Bayesian Governance Lab within the Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.

University of Exeter · Exeter · £21,805 pa

A fully funded PhD studentship researching how small language models can become reliable agents for bounded business workflows, using harness optimisation and fine-tuning on traces from larger teacher models. The work measures reliability, cost, latency and data locality, and releases open tooling for UK SMEs, in collaboration with an industry research lab.

Tenth Revolution Group · London · £85,000 – £110,000 pa

Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Acts as a trusted technical advisor to customers, driving data governance, observability, quality and lineage standards, and shaping architecture, tooling and best practices across the platform. Combines hands-on data platform design with technical leadership and AI strategy in a fully remote UK role.

The University of Manchester · Manchester · £48,337 – £59,390 pa

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing large biological, chemical and experimental datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML and data-science expertise, training and support to postdocs and students, and contributing to publications and funding bids.