Artificial Intelligence Jobs

• London
• Hybrid
• Mid-level
• Permanent

Develops and maintains Wayve's Core Simulation system in modern C++ and Python, integrating driving-stack components, simulated robot systems and vehicle-platform capabilities. Initially focused on high-scale open-loop evaluation, the role involves debugging on-road versus simulated behaviour, improving reproducibility, observability and automated testing, and profiling simulator performance across a shared codebase.

GenAI Development Tools

• London
• Hybrid
• Senior
• Permanent

Develop next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Work spans diffusion and transformer architectures, latent compression, context pruning and inference-latency optimisation, with closed-loop agent interaction and sim-to-real evaluation. The role combines ML research, multi-modal modelling and production deployment, including mentoring and publishing.

PyTorch · GAIA

• London
• Hybrid
• Director · manages people
• Permanent

Lead and grow a banking practice within an applied AI consultancy, shaping go-to-market strategy and building relationships with C-suite banking leaders. You will drive complex AI transformation programmes from strategy through software delivery, generate revenue through pitches and demos, and mentor multidisciplinary teams. The role blends commercial ownership with deep sector expertise in a regulated industry.

Metaview

• Warrington
• On-site
• Entry level
• Permanent · Shift work

A 48-month apprenticeship in Amazon's Reliability Maintenance Engineering team, supporting fault-finding and maintenance on robotics, conveyors and sortation equipment. You'll plan preventative maintenance and safety checks while studying towards a Level 6 apprenticeship, BSc in Controls and Automation Engineering and HNC/D, with the first 12 months residential.

Conveyor Systems · Sortation Equipment · Autonomous Robots +4

• Birmingham
• On-site
• Entry level
• Permanent · Shift work

A 48-month apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding and preventative maintenance on robotics, conveyors and sortation equipment. Apprentices study towards a Level 6 qualification and BSc in Controls and Automation Engineering, with the first 12 months residential. The role supports a 24/7 operation on day, night and weekend shifts.

Conveyor Systems · Automated Storage and Retrieval Systems · Smart Sensors +2

• London
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated clinical trial documentation such as protocols, study reports and SAPs, and evaluates model accuracy, relevance and consistency. Requires Python and SQL skills plus familiarity with LLMs, prompt engineering, RAG and cloud platforms.

GenAI · LLM · RAG

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Develops a resource-aware AI framework for 2D and 3D medical imaging that adapts computation to case complexity, clinical risk and available hardware. Investigates where unnecessary computation occurs, builds a configurable model family, and validates it on population-scale abdominal MRI (UK Biobank) and near-patient dermatology imaging, with safety assessed across patient subgroups.

UK Biobank

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Develops explainable, trustworthy machine-learning models for early dementia detection, integrating multimodal data such as neuroimaging, cognitive assessments, genetics and biomarkers. Uses latent knowledge-enhanced representations, vision-language agentic frameworks and uncertainty quantification, with clinician evaluation of bias and fairness. Validated through a longitudinal multimodal prediction and explanation system.

MRI · PET · ADNI +2

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Kubernetes

• London
• £70,000 – £80,000 pa
• Mid-level

Build, scale and maintain backend services including APIs, workflow engines and data services, integrating Java/Spring components with Python-based AI services. Work across AWS cloud infrastructure, CI/CD pipelines, observability and security best practices in a collaborative, fast-paced product team.

FastAPI · PostgreSQL · AWS +6

• Huddersfield
• Hybrid
• £55,000 – £70,000 pa
• Mid-level

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Involves dataset preparation, model evaluation, performance tuning for accuracy and inference speed, automated testing and debugging of vision pipelines. Hybrid or remote, with a path to lead an AI team.

OpenCV · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration, with a focus on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• Huddersfield
• Hybrid
• £55,000 – £65,000 pa
• Mid-level

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers dataset preparation, model evaluation, performance tuning and automated testing, with a focus on accuracy, inference speed and maintainable code.

OpenCV · PyTorch · TensorFlow +6

• London
• Remote
• £60,000 – £70,000 pa
• Mid-level
• Permanent · Flexible

This role involves extending and improving a 22-agent agentic AI platform that connects fragmented school data and surfaces actionable insights. Responsibilities include building and refining agent sub-graphs, improving prompt engineering, and contributing to LLM benchmarking. The platform integrates multiple LLMs and uses LangGraph with a supervisor-of-supervisors architecture.

• Bristol
• £44,746 – £50,253 pa
• Junior
• Permanent

Builds and operates the software-defined compute and storage/networking platforms behind the UK's most powerful supercomputer, using Python, Rust, Terraform/OpenTofu, Kubernetes, Git and Bash. Works closely with AI researchers to co-design and debug massive-scale GPU and CPU/GPU workloads, with a focus on stability, security and scaling.

Kubernetes · Terraform · OpenTofu +6