Artificial Intelligence Jobs in Oxford

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

Leads 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 Oxford's Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.

• 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 robotic manipulation, including deformable objects, evaluated on real hardware.

RoboSim

• Oxford
• Hybrid
• £81,322 – £112,488 pa
• Lead · manages people
• Permanent

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across concurrent projects. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support use case discovery and pre-sales alongside commercial teams.

• Oxford
• Hybrid
• £78,174 – £94,686 pa
• Senior
• Contract

Hands-on infrastructure and platform role on a privacy-preserving AI research programme, building secure cloud infrastructure, ML model serving and training pipelines, and agentic development tooling under a Technical Lead. Joins a small engineering team working with Oxford researchers and commercial partners, with scope to shape the stack and grow seniority.

AWS · Kubernetes · Helm +7

• Oxfordshire
• Hybrid
• £60,000 – £94,000 pa
• Senior

Lead technical development of computer vision, perception and autonomous navigation systems across the full lifecycle, from algorithm design and subsystem architecture to verification, testing and deployment. Work spans object detection, tracking, 6DoF pose estimation, LiDAR and camera integration, embedded and flight software, plus mentoring engineers and collaborating with Systems, GNC and Hardware teams.

OpenCV · TensorFlow · PyTorch +5

• Oxford
• On-site
• £49,119 – £58,265 pa
• Senior
• Contract

Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.

• Oxford
• On-site
• £40,178 – £48,700 pa
• Entry level
• Contract

Develop and validate machine-learning models on large-scale multimodal NHS clinical data, including electronic health records, genomics, imaging and digital pathology. Build reproducible pipelines within secure data environments and work with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Medical Imaging +3

• Oxford
• £21,805 pa
• Entry level
• Contract

Investigates how the rapid growth of AI can be supported by more sustainable and circular hardware and infrastructure, connecting computational performance to the physical materials required. Develops scenarios for UK AI and data centre growth, mapping hardware requirements to critical raw materials and examining circular economy strategies such as reuse, repair and remanufacture. Based in the Circular Economy and Sustainability Lab, contributing to the Circular Electricals and Electronics Project.

AI Infrastructure

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

Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. Builds scalable, reproducible research software applied to biobank-scale datasets, evaluates statistical and predictive performance, publishes findings and guides junior researchers in the Palamara Group.