Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

University of Bristol · Bristol · £44,746 – £58,225 pa

The postholder will contribute to world-leading AI research and develop and deliver education programmes, including a new undergraduate degree in Computer Science with AI. The School is particularly interested in candidates with strengths in Multi-Modal AI and Computer Vision, and the role involves publishing in top venues and applying for external funding.

Cirrus Selection · Filton · £45,000 – £58,000 pa

Research, develop and evaluate image processing and computer vision algorithms within a specialist team, applying AI and deep learning to segmentation, object detection, tracking and classification. Work spans optical flow, pose estimation, particle filtering and computational imaging using MATLAB, Simulink and Python with PyTorch, collaborating with multidisciplinary engineers to turn research into practical applications.

University of Bath · Bath

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

Amazon · London

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

University of Bath · Bath

A full professorship in the AI & Machine Learning group, seeking research strength in areas such as generative models, NLP, reinforcement learning, or AI verification and security. The role combines strategic leadership, research publication and grant capture, and research-led undergraduate and postgraduate teaching, with strong industry connections and involvement in the new Bath Centre for AI.

Ocado · Hatfield

Looking to kickstart your career and make a global impact? Join Ocado Group’s Graduate Programme and become a driving force in the future of technology.Programme OverviewStart Date: Early September 2027Duration: 2 years (Fixed-term, full-time)Locations: Hatfield, Hertfordshire (hybrid) with a compulsory...

Spencer Rose · Bristol · £450 – £480 pd

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

AI Security Institute · London · £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

AI Security Institute · London

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

PhysicsX · San Francisco, United States · US$150,000 – US$190,000 pa

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud and HPC infrastructure, and translating R&D outputs into reusable libraries and products.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

ECM Selection · Cambridge · £40,000 – £70,000 pa

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

University of Southampton · Southampton · £41,064 – £45,064 pa

Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast physics-informed models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

Latent Labs · London

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference, and planning wet lab testing campaigns, with about 10% of time for self-development.