Machine Learning Jobs

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Two postdoctoral roles in the Visual Geometry Group, each tied to a separate project funded by Toyota Motor Europe or Amazon. One develops deep reinforcement learning and computer vision for robust visuomotor policies transferring to real robots; the other studies 3D geometry and motion representations for vision-language-action robotic manipulation, including deformable objects, with evaluation on real hardware.

RoboSim

• London
• On-site
• Entry level
• Permanent

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.

Rufus

• Oxford
• On-site
• £49,119 – £59,955 pa
• Senior · manages people
• Contract

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.

• London
• Hybrid · 3 days in office
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments, using Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow across cloud and on-prem. Leads scoping and architecture for data/ML systems, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• London
• Hybrid · 2–3 days in office
• Mid-level

Build the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develop solvers in differentiable or GPU-native frameworks like JAX or Warp, using commercial and open-source CFD tools, while collaborating closely with ML researchers in a research team.

JAX · NVIDIA Warp · OpenFOAM +2

• Bath
• Senior

A professorial role leading research in core AI areas such as generative models, NLP, reinforcement learning, and AI verification and security within the AI & Machine Learning group. The position involves strategic leadership, grant capture, industry collaboration, and research-led teaching, with connections to the newly launched Bath Centre for AI.

• United Kingdom
• Hybrid
• Senior

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.

• Bristol
• On-site
• £50,000 – £58,000 pa
• Permanent

Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.

Python · MATLAB · Simulink +1

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Partner directly with Digital Native customers to design, build and deploy AI-powered products, taking ideas from early experimentation through evaluation, production launch and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions on model behavior, reliability, latency, cost, safety and governance.

OpenAI

• United Kingdom
• Entry level

Graduate role in the Human-Machine Understanding group, working at the intersection of AI, cognitive science and human-machine interaction. You will contribute to an Intelligent Interfaces framework spanning multi-modal human sensing, human-centric contextual modelling and agentic workflows, supporting client projects from human subjects studies to technical prototypes. Requires Python and AI/ML frameworks such as PyTorch, with scope to explore HRI, affective computing and cognitive architectures.

PyTorch · ROS2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back into product and research roadmaps. Hybrid London role with up to 50% travel and Spanish-speaking customers.

OpenAI

• London
• Hybrid · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, working with small molecule and biologics platforms. Designs screening cascades, authors and defends regulatory toxicology sections, and manages CRO relationships for outsourced wet-lab work. Also guides development of an AI predictive toxicology platform with ML researchers.

AI/ML

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead medicinal chemistry efforts on drug discovery projects, guiding them from initiation to clinical candidate selection as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine AI models, manage CRO resources, and generate IP, with some roles line-managing 2-4 chemists.

AlphaFold

• London

Lead and contribute to interdisciplinary research programmes on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, model evaluations and benchmarks. Work spans computational social science, AI safety, machine learning and cognitive science, with opportunities to publish and engage policymakers and frontier labs.

Claude Code · Codex

• Sheffield
• Hybrid
• £39,560 – £41,885 pa
• Entry level
• Contract

Develops explainable machine learning models, including symbolic regression, Bayesian optimisation and genetic algorithms, to decode polymer-solvent thermodynamics and soft-matter physics. Involves featurizing complex polymer architectures, analysing multi-modal experimental datasets, and building open-source cheminformatics tools in Python/Julia for sustainable inverse formulation design.

Python · Julia · C++ +1