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
• £39,424 – £47,779 pa
• Contract

central OxfordWe are seekingtwo full-time Postdoctoral Research Assistants in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The positions are associated with two separate research projects funded by Toyota Motor Europe and Amazon, respectively. Each successful…

• Oxford
• £81,322 – £112,488 pa
• Lead

Contract: PermanentLocation: Oxford, hybrid preferred, though we'd consider fully remote for the right person.Reports to: Director of AI DeliveryOxfida (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to…

• Oxford
• Hybrid
• £55,000 – £75,000 pa
• Mid-level
• Permanent

This role involves traditional quantity surveying and estimating duties on residential construction projects while actively championing the adoption of AI-driven tools within the commercial workflow. The candidate will prepare cost estimates, manage project valuations, and collaborate with teams to pilot AI technologies for predictive costing and automated take-offs. A unique opportunity to shape the integration of artificial intelligence in construction processes while maintaining core commercial responsibilities.

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

Contract: 18-month fixed-term contract from signing (running to at least January 2028), with a view to extending or moving to permanent as a second round of programme funding is confirmed.Location: Oxford, hybrid preferred, though we'd consider fully remote for the…

• Witney
• Hybrid · 3 days in office
• £45,000 – £65,000 pa
• Mid-level

Design and develop safety-critical embedded software for autonomous systems, building runtime assurance and fail-safe architectures using SPARK Ada and high-integrity processes. Work spans verification, validation and certification activities for DAL-A/DAL-B software across aerospace and land autonomy platforms, scaling prototype capability to enterprise deployment.

ROS · ROS2 · MAVLINK +2

• Witney
• Hybrid · 3 days in office
• £45,000 – £65,000 pa

Contribute to the design, development, verification and certification of embedded safety-critical systems providing runtime assurance for autonomous platforms. Define verification strategies, build test frameworks and certification evidence aligned with DO-178C, and perform requirements-based testing and traceability. Work in a specialised team on mathematically verifiable software foundations for aerospace and land autonomy.

DO-178C · ISO 26262 · IEC 61508 +4

• Banbury
• On-site
• £24,500 – £26,500 pa
• Junior

Assist with building, maintaining and improving WordPress websites for a digital marketing agency, working alongside experienced developers, designers and copywriters. The role offers training and mentoring, with a focus on HTML, CSS, JavaScript and PHP, plus using AI tools to support development and productivity. Fully on-site in Banbury, Monday to Friday.

WordPress · HTML · CSS +3

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

This role involves designing and developing advanced computer vision algorithms for object detection, tracking, and 6DoF pose estimation, with a focus on integration into embedded and flight software systems. The engineer will lead verification and validation activities, support sensor selection and integration, and provide technical mentorship. Collaboration with multidisciplinary teams ensures performance and compatibility across hardware and software in autonomous systems.

• 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
• Hybrid · 3 days in office
• £39,424 – £47,779 pa
• Entry level
• Contract

Deliver AI safety research for the ARIADNE consortium, a Wellcome-funded generative AI system conducting clinical interviews to assess psychosis risk. Develop LLM supervisor modules that detect delusional reinforcement and inappropriate responses to suicidal symptoms, evaluating them in controlled testbeds with simulated patients and LLM-as-judge scoring calibrated against clinicians.

PyTorch · LLM APIs · Google DeepMind

• 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, circular hardware and infrastructure, linking computational performance to the physical materials and equipment required. Develops scenarios for UK AI and data centre growth, mapping hardware requirements to critical raw materials and modelling how lifetime extension, reuse, repair and remanufacture could cut environmental impacts. Based in the Circular Economy and Sustainability Lab, contributing to the Circular Electricals and Electronics Project.

Data Centres

• 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.

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

Designs and runs real-time in-situ X-ray imaging solidification experiments on steel using laboratory and synchrotron sources, developing multi-modal imaging methods and post-solidification microscopy. Works in the Process Dynamics group with STFC, Loughborough University and industrial partners, building bespoke experimental rigs and Python computer-vision algorithms for automated data analysis.

Synchrotron · Python