Robotics Jobs in London

• London
• On-site
• Senior
• Permanent

Designs and trains reinforcement learning policies for dynamic locomotion and loco-manipulation on humanoid robots, building scalable simulation pipelines in Isaac Lab or MuJoCo and improving sim-to-real transfer. Works closely with controls and robotics engineers to integrate learned policies into the control stack, iterating between large-scale simulation and hardware experiments.

Isaac Lab · MuJoCo

• London
• On-site
• Senior
• Permanent

Lead the design of robust SLAM pipelines, long-term mapping and localisation loops, integrating foundation geometry models and modern ML into the core navigation stack. Build auto-labeling data pipelines and deploy low-latency spatial AI on physical robot hardware, bridging classical geometry with deep learning.

LiDAR

• London
• Hybrid
• Senior
• Permanent

Lead functional safety activities for an end-to-end AI automated driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence for certification.

ISO 26262 · SOTIF

• London
• Hybrid
• Senior
• Permanent

Builds high-quality Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting thousands of GPUs. Partners closely with ML teams to turn complex requirements into stable, reusable abstractions and clear APIs, leading projects end to end while raising engineering standards.

PyTorch · TensorFlow · Azure +1

• London
• Hybrid
• Permanent

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.

Azure · Kubernetes · React +1

• London
• Hybrid
• Mid-level
• Permanent

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working closely with security, IT and engineering, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Kubernetes · MCP · RAG

• London
• Hybrid
• Mid-level
• Permanent

Develops and maintains production-quality components in Wayve's shared simulation system, working hands-on in a modern C++ and Python codebase. Integrates driving-stack components, simulated robot systems and vehicle-platform capabilities, initially focused on high-scale open-loop evaluation. Investigates on-road versus simulated behaviour differences and improves reproducibility, observability and simulator performance.

GenAI Development Tools

• London
• Remote
• Lead
• Permanent

Owns 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. Defines the vehicle-operator contract, fallback/MRM behaviour and latency budgets, and leads cross-org execution across autonomy, safety, platform and product teams to support the L4 safety case.

HMI

• London
• Hybrid
• Senior
• Permanent

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.

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a team of ML engineers and applied scientists building a production synthetic-data engine from generative world models like GAIA-3, covering rig and pose transfer, controllability and large-scale GPU inference. Own the loop from checkpoint and config through generation, evaluation and training, while driving inference optimisation, valid-generation yield and cross-team integration with driving-model and safety teams.

Python · PyTorch · GAIA +2

• London
• On-site
• Director · manages people
• Permanent

Lead the physical environment strategy across lab, workspace, test, integration, prototype manufacturing and office areas, owning brownfield retrofits and complex fit-out programmes from scoping to commissioning. Manage external architects, contractors and consultants while overseeing general office operations, reception and front-of-house teams across global sites.

AV · ISO Cleanroom

• London
• On-site
• Permanent

Owns the development, deployment and operation of an existing data platform, spanning cloud infrastructure, full-stack development, platform and data engineering. Leads external contractors as their sole point of contact, translating internal requirements into technical briefs and validating deliverables. Combines hands-on engineering with technical leadership and delivery ownership.

Object Storage · Relational Databases

• London
• Hybrid
• Senior
• Permanent

Hands-on role bringing up new vehicle platforms on benches, HiL systems and vehicles, developing vehicle-facing software and shared frameworks in C++, Python or Rust. Involves diagnosing software/hardware integration issues across Linux, ROS2, sensors, CAN and Automotive Ethernet, plus building diagnostics and tooling for robot-software reliability.

ROS2 · NVIDIA DRIVE · Qualcomm Snapdragon Ride +4

• London
• Hybrid
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, tackling road geometry, spatial relationships, road users and driving behaviour. Works with internal customers to define attributes and acceptance criteria, designs annotation tasks, and integrates classifiers with enrichment infrastructure for corpus analysis and scenario mining.

PyTorch · SQL · World Foundation Model

• London
• Hybrid
• Mid-level
• Permanent

Builds geospatial services and data products that give Wayve's AI driver map and route awareness. Day to day means full-stack work in Python and TypeScript, PySpark and Databricks pipelines enriching fleet data at global scale, and integrating navigation APIs like Mapbox, TomTom and Google Maps. Services are owned end to end on Azure and Kubernetes.

Databricks · Mapbox · TomTom +7