Robotics Jobs

Humanoid · London

Hands-on engineering lead owning the path from AI agent task to healthy deployed change, building secure reproducible agent runtimes, verification tooling, and developer interfaces. Recruits and leads a new developer productivity team while working across Developer Tools, Security, Simulation, and robot software to cut cost and review time per accepted change.

Humanoid · London

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.

ABB · United Kingdom

Drives the rollout of a global Quote-to-Order process and its supporting digital tools across a region, mapping local ways of working against the target model and closing gaps. Runs workshops, coordinates CPQ and SAP S/4HANA deployment, leads testing, training and go-live, and acts as second-level process and tool support for country sales teams.

ABB · Västerås, Sweden

Lead the business side of ABB Robotics' enterprise platform strategy, with a primary focus on the SAP S/4HANA transformation. Own platform roadmaps, governance, standardization and adoption, aligning business lines, functions, data and IS teams to the target operating model. Hybrid role based in Europe, reporting to the Business Transformation Manager.

Humanoid · London

Own the full lifecycle of ML models and core infrastructure, from development and deployment to monitoring and continuous improvement. Build CI/CD pipelines for software and ML workflows, automate orchestration with modern DevOps tooling, and ensure reliability, scalability and observability of production systems. Work in a Data & Compute Platform team alongside software engineers, data scientists and product teams on ML-powered features for a humanoid robotics platform.

Humanoid · London

Builds the teleoperation systems that let human operators control humanoid robots, spanning intuitive input mappings, real-time command pipelines, operator feedback, and safety safeguards. Integrates VR controllers, haptics, and motion capture into the robot stack, and stress-tests on real hardware and in simulation. Works across controls, manipulation, and hardware teams, with shared-autonomy and demonstration-capture features.

Humanoid · London

Builds action-conditioned generative world models that predict future video, proprioception, contacts and outcomes for humanoid robots, using diffusion and transformer architectures. The role spans large-scale distributed training, learned-simulator policy evaluation, synthetic rollout generation and sim-to-real transfer, working hands-on with real fleet data alongside pretraining, RL and manipulation teams.

Humanoid · London

Train language-vision conditioned manipulation policies using reinforcement learning in both simulation and the real world, building task suites and real-world RL pipelines. Work closely with teleoperations and testing teams to collect trajectories and transfer policies from simulation to physical robots. Requires deep-learning experience with Python and PyTorch/JAX, plus hands-on work with LLMs, VLMs or generative models.

Humanoid · London

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.

Humanoid · London

Build and maintain physics-based simulation environments for dexterous manipulation tasks across industrial, service and home domains. Design gym environments with reward functions, tackle reward hacking and reduce the sim-to-real gap, running large-scale parallel simulation on GPU clusters. Works within the VLA team alongside world-class engineers and researchers.

Humanoid · London

Post-train manipulation policies via behaviour cloning and RL, owning the full loop from data curation to real-world deployment. Work with simulation and teleoperation teams on digital-twin RL training, reward iteration and expanding observation/action spaces, interfacing with hardware design to feed findings into future generations.

Humanoid · London

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.

Humanoid · London

Owns device software and data pipelines for handheld gripper systems used to collect manipulation demonstrations for robot training. Involves writing production-grade C++/Python, synchronising multi-modal sensor streams, and building validation tooling to keep training datasets clean, working closely with hardware, AI and data collection teams.

Humanoid · London

Builds backend services that coordinate robot fleets at runtime, including workflow state management, event logging and APIs used by robots, operators and third-party systems. Also develops natural-language workflow authoring tooling, on-robot services for remote control and diagnostics, plus cloud infrastructure, observability and simulation-based validation pipelines.

Humanoid · London

Build an internal data platform from the ground up, defining architecture for petabyte-scale robot telemetry pipelines, compute infrastructure and orchestration. Work spans backend services, data warehousing, BI dashboards and MLOps evaluation workflows, collaborating closely with machine learning teams on humanoid robot training data.