Artificial Intelligence Jobs

• London
• Hybrid
• £370,000 – £630,000 pa
• Mid-level

Builds and improves the RL training infrastructure researchers rely on, profiling and rearchitecting bottlenecks across the stack and owning run reliability end-to-end. Works closely with researchers and adjacent teams like inference and sandboxing, spanning low-level performance work through to RL algorithms.

JAX · PyTorch

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Join the Pretraining team to develop the next generation of large language models, working at the intersection of research and engineering. You'll lead small research projects, design and analyse experiments on model architecture, algorithms, data processing and optimizers, and scale distributed training infrastructure across thousands of GPUs.

PyTorch · Kubernetes · GPUs

• London
• On-site
• £260,000 – £630,000 pa
• Mid-level

Owns critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. Splits time roughly 50/50 between research and engineering, designing experiments to cut step time and boost uptime, and responding to on-call launch incidents. Works in-office in London alongside SF and specialist teams.

JAX · TPU · PyTorch +3

• London
• Hybrid
• £375,000 – £640,000 pa
• Mid-level

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon benchmarks and debugs failures that only surface at the research/infrastructure boundary, working closely with adjacent RL teams.

• London
• Hybrid
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth clusters, scalability and fault tolerance, while mentoring engineers and shaping incident response and on-call practices.

Kubernetes · Terraform · AWS +7

• London
• Hybrid
• £325,000 – £390,000 pa
• Lead

Builds and operates large-scale CI infrastructure supporting thousands of daily builds across multiple cloud providers, including intelligent test selection, merge queue management, and incident response automation. Works within the Developer Productivity org on Kubernetes-based test infrastructure, flake detection, and developer tooling for a monorepo.

Buildkite · Jenkins · GitHub Actions +2

• London
• Hybrid
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid
• Permanent

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +7

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and delivery, plus partner and OEM relationships, while staying close to embedded Linux systems code in C++ or Python.

NVIDIA Jetson · NVIDIA DRIVE · QNX +4

• London
• Hybrid
• £255,000 – £325,000 pa
• Director · manages people

Founding leader for Anthropic's Forward Deployed Engineering practice, hiring and developing a team of engineers who embed with strategic enterprise customers to ship production AI applications. Player-coach role setting technical and operational standards, building repeatable playbooks, and partnering with Sales, Product and Engineering. Requires travel to customer sites 25-50%.

Claude

• Stratford-upon-Avon
• Remote
• £500 – £550 pd
• Contract

Build and support frontend and backend systems in Node.js and TypeScript, with a central focus on connecting an AI platform to internal and third-party services via APIs and Model Context Protocol (MCP) integrations. Work spans API design, authentication, database modelling, automated testing and production reliability, alongside AI specialists, frontend developers and business analysts.

Node.js · JavaScript · TypeScript +6

• London
• Hybrid
• Senior
• Permanent

Lead the technical architecture and roadmap for onboard localisation, designing and productionising state-estimation systems that fuse GNSS, IMU and wheel odometry for accurate vehicle pose estimates. The role spans algorithm design, prototyping, validation and deployment on real-time vehicle platforms, with hands-on technical leadership and mentorship across robotics, calibration, controls and sensor teams.

GTSAM · Ceres · g2o +7

• London
• Hybrid
• Lead
• Permanent

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, prototypes and cross-functional alignment across perception, calibration and validation teams.

ROS · PCL · OpenCV +3

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. You'll root-cause on-road issues and fix them through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Python

• London
• Hybrid
• Mid-level
• Permanent

Develops embedded software connecting an AI Driver to vehicle steering, braking and propulsion systems, working hands-on with benches and vehicles. Involves MATLAB/Simulink development, drive-by-wire actuation logic, CAN/CAN-FD diagnostics, OTA updates and ADAS/HMI interfaces, collaborating with OEMs, suppliers and controls engineers.

MATLAB · Simulink · CANoe +6