Robotics Jobs

• London
• Hybrid
• Permanent

Develop, integrate and tune trajectory-generation and motion-control algorithms that turn AI Driver outputs into safe, smooth vehicle actuation across multiple platforms. Own production-quality, latency-sensitive C++ control software, using simulation, closed-loop evaluation and on-road testing to validate performance and safety.

CAN

• 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
• On-site
• Senior
• Permanent

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and motion primitives. Builds scalable simulation and training pipelines in Isaac Lab and MuJoCo, and deploys, debugs and fine-tunes policies on physical robots, tackling sim-to-real transfer and real-time inference latency.

Isaac Lab · Isaac Sim · MuJoCo +1

• London
• On-site
• Mid-level
• Permanent

Owns the full training loop for vision-language-action policies, from pre-training a base model on multi-embodiment trajectory corpora through behaviour cloning and RL fine-tuning to deployment. Builds continuous data pipelines that ingest synthetic and teleop data, version and weakly-supervise it, and surface failure cases for retraining, working with MLOps and Data Collection teams on distributed training and edge inference.

PyTorch · JAX · OpenVLA +1

• 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
• 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
• Senior
• Permanent

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compilers, runtimes and kernels, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +7

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning improve physical-world decision-making. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping technical direction across London and Sunnyvale.

PyTorch

• 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. Own people, roadmap and OEM partnerships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.

ROS 2 · DDS · QNX +4

• 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 diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture and evaluation, working across teams on model and vehicle interface problems.

Python

• London
• Hybrid
• Senior
• Permanent

Builds and ships computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data generation to training, evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work using lidar, maps and extra compute to power an auto-labelling data flywheel.

LiDAR

• London
• Hybrid
• Senior · manages people
• Permanent

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data on large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• London
• Hybrid
• Mid-level
• Permanent

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to advance 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 clear product roadmap with tracked KPIs and milestones.

• 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
• Mid-level
• Permanent

Leads end-to-end programme management for a bipedal humanoid robot fleet, from Alpha prototype through production, mass deployment and obsolescence. Acts as central coordination point across Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance, owning programme plans, risk registers, stage gates and budget planning, while partnering with Engineering TPMs on locomotion, control and sensor workstreams.

PMP · PRINCE2