Artificial Intelligence Jobs in London

PhysicsX · London

Builds and owns high-fidelity computational plasma models for semiconductor processes such as etching, CVD/ALD deposition and ion-driven surface interactions, using tools like COMSOL, HPEM, VizGlow and CFD-ACE+. Works directly with semiconductor customers, often on-site, to scope challenges and validate simulations, and collaborates with data scientists and ML engineers to embed the work into AI-powered workflows.

PhysicsX · London

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, forecasting, anomaly detection) into customer production environments, building scalable training and inference pipelines with Python, PyTorch, Kubeflow and fastAPI. Leads scoping and architecture, mentors engineers, and travels to customer sites roughly 3-4 weeks per quarter.

Medtronic · London · £76,800 – £115,200 pa

Develops high-performance, low-latency video and AI processing pipelines for use in the operating room, leveraging hardware acceleration for capture, inference, visualisation and streaming. Works in a multidisciplinary team on robust, safe-by-design medical device software, with a strong C++17-23, multi-threading and real-time video focus.

Darktrace · Cambridge

Owns the prototyping and development of new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints to ship novel features. Works with a cross-functional team of engineers, designers and strategists on projects spanning rapid prototyping to structured platform development, with a focus on defending against unknown cyber-attacks.

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.

Wayve · London

Owns the end-to-end release cycle for autonomous-driving AI models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

ElevenLabs · United Kingdom

Build and operate production-grade abuse detection and guardrail systems, focusing on free-tier abuse, fraud, and bot farming across a multimodal platform. Own the safety infrastructure end to end, from architecture and APIs to data pipelines, monitoring, and SLIs/SLOs, working with ML and full-stack engineers to move research models into production.

Maxwell Bond · London · £150,000 – £175,000 pa

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.

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.

Wayve · London

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.