Machine Learning Jobs

Faculty · London

Lead original technical research in AI safety, steering projects from initial question to high-impact publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code and collaborating with red-teaming and evaluation teams.

Wayve · London

Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.

Wayve · London

Own the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Define the vehicle–operator contract, fallback/MRM behaviour and latency budgets, and drive cross-org execution across autonomy, safety, platform and product teams feeding into the L4 safety case.

Wayve · London

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, surfacing quality gates and approvals, and productionises services on Azure and Kubernetes with strong observability. Works across Model Engineering, MLOps, Measurement, Evaluation, Simulation and Release Management.

Wayve · London

Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.

Wayve · London

Owns the end-to-end release cycle for AI driving 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.

Wayve · London

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.

Wayve · London

Bridges Wayve's AI Driver architecture and OEM/Tier 1 vehicle platforms, defining software–vehicle interfaces across sensors, signals, middleware and ECUs. Owns interface contracts, ownership boundaries and validation-ready requirements, representing Wayve in partner technical discussions while keeping the core product architecture scalable.

Wayve · London

Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the detect-triage-root-cause-fix loop across model, robot software, backend and evaluation tooling, leading cross-functional teams without direct authority while staying hands-on in Python, C++ and SQL.

Wayve · London

Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.

Wayve · London

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to ship outcomes for an end-to-end AI driving platform. Lead a cross-functional team of engineers, researchers and PMs without formal authority, translating R&D progress and customer needs into a product roadmap with clear KPIs and milestones.

Wayve · London

Cross-functional individual contributor defining software architecture across onboard software, AI, simulation, training, inference and Robotaxi systems. Leads large architectural changes spanning multiple engineering organisations, setting boundaries and interfaces between AI, compute and vehicle systems, and acts as technical tiebreaker on complex decisions.

Wayve · London

Set the technical direction for a petabyte-scale object storage platform underpinning autonomous driving AI, leading a multi-quarter programme from architecture through adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

Wayve · London

Join a small, high-autonomy team building Wayve's Data Transfer Hub, mission-critical infrastructure moving petabytes of sensor data per day from global partners like Uber, Stellantis and Nissan. You'll design and operate large-scale pipelines in Python and Terraform, using Flyte, Kafka and Azure, with ownership of production systems and an out-of-hours on-call rotation.

Wayve · London

Builds and operates the CI/CD infrastructure underpinning Wayve's software development lifecycle, maintaining pipelines, build agents, runners and artifact storage. Works with engineering teams to cut build and test feedback times, improving caching, dependency management and reproducible builds. Also develops self-service tooling and automation to scale the build platform.