Latest Reinforcement Learning Jobs

Spotlight
Autodiscovery logo

Senior Robotics Software Engineer

This role involves leading the design, development, and deployment of advanced robotic systems, focusing on software architecture, perception, planning, and control. You will collaborate with multidisciplinary teams, mentor junior engineers, and evaluate emerging technologies to enhance system performance.

Autodiscovery Wantage, Oxfordshire, United Kingdom
On-site Permanent
Spotlight
Flarebright logo

Software Engineer

The Software Engineer will work on the complete development lifecycle of flight safety and navigation systems, from concept and algorithm design to system integration and testing. You will collaborate with a multidisciplinary team to deliver high-performance solutions, maintain high-quality code, and produce comprehensive documentation.

Flarebright Bicester, Oxfordshire, United Kingdom £39,000 – £49,000 pa
On-site Permanent Clearance Required
Humanoid logo

Reinforcement Learning Engineer - Manipulation

Develop and train reinforcement learning policies for robotic manipulation using language and vision inputs, both in simulation and on real-world humanoid robots. Work across the full development pipeline, from creating diverse simulation tasks to deploying and refining policies on physical systems. Collaborate with teleoperations and testing teams to improve data collection and real-world performance.

Humanoid London, United Kingdom
On-site Permanent
Humanoid logo

Reinforcement Learning Engineer - Locomanipulation

Develop reinforcement learning policies for dynamic locomotion and loco-manipulation in humanoid robots, using large-scale simulation and real-world testing. Focus on scalable training pipelines, reward design, and sim-to-real transfer. Work closely with robotics and controls teams to deploy robust policies on physical hardware.

Humanoid London, United Kingdom
On-site Permanent
Wayve logo

Applied Scientist/Machine Learning Engineer, Gaia

This role involves developing next-generation generative world models and planners for autonomous driving simulations. You will work on real-time roll-outs, interactive models, and optimizing performance, while collaborating with a fast-paced, interdisciplinary team.

Wayve London, United Kingdom
Permanent

Research Associate in Dexterous Manipulation and Robot Learning

This role involves conducting cutting-edge research in dexterous manipulation and robot learning, focusing on developing and deploying high-DoF manipulation policies and robot foundation models. The researcher will work with state-of-the-art robotic platforms, collaborate with experts in robotics and machine learning, and publish in top-tier conferences.

Imperial College London London, United Kingdom £50 – £59 pa
Contract

Software Engineer

This role involves designing and developing safety-critical embedded software for autonomous systems, focusing on runtime assurance, mission control, and certification. You will work with high-integrity languages like SPARK Ada and contribute to the verification and validation of systems for aerospace and land applications.

Profile 29 Ox281Ae, United Kingdom £45,000 – £65,000 pa

Tech Engagement Lead, AI Labs - EMEA

Lead technical engagements with frontier AI labs to integrate NVIDIA’s GPU and software stack into advanced AI research, training, and inference workflows. Drive platform adoption, optimize performance, and translate technical insights into product roadmap improvements. Collaborate across engineering, product, and marketing to showcase joint innovations and shape the future of AI infrastructure.

NVIDIA France

Tech Engagement Lead, AI Labs - EMEA

Acts as a technical liaison between NVIDIA and leading AI research labs, driving deep integration of NVIDIA's GPU and software stack into cutting-edge AI development workflows. Focuses on understanding emerging AI workloads—such as large language models, agents, and robotics—and translating technical insights into product roadmap influence, performance optimisation, and joint public showcases. Works across research, infrastructure, and product teams to shape future platform capabilities and scale successful collaborations.

NVIDIA
Humanoid logo

Senior Machine Learning Research Engineer

This role involves developing learning-based algorithms for dynamic locomotion and whole-body control on humanoid robots. You will design and train policies for robust motion capabilities, work with simulation and training pipelines, and integrate these into the robot's real-time control stack.

Humanoid London, United Kingdom
On-site Permanent
Humanoid logo

Robotics Simulation & Control Engineer

Design and validate next-generation humanoid and wheeled robot platforms using physics simulation and reinforcement learning. Develop tools to evaluate locomotion, manipulation, and dynamic performance before hardware deployment, and maintain canonical robot models used across simulation and control systems. Collaborate with cross-functional teams to inform robot architecture, actuator selection, and control strategies through quantitative simulation-based analysis.

Humanoid London, United Kingdom
On-site Permanent
Humanoid logo

Simulation Engineer - Manipulation

Design and implement physics-based simulation environments for robotic manipulation tasks in industrial, service, and home settings. Focus on reinforcement learning, reward function design, and reducing the sim-to-real gap using high-fidelity physics engines and GPU-accelerated infrastructure. Collaborate with vendors and engineers to ensure simulation accuracy and scalability.

Humanoid London, United Kingdom
On-site Permanent
Humanoid logo

Product Programme Manager

This role involves leading the end-to-end programme management of a next-generation bipedal humanoid robot fleet, from prototype through production and deployment. The candidate will coordinate cross-functional teams across engineering, operations, and product, ensuring alignment on timelines, budgets, and technical milestones. The position emphasizes integration of complex hardware-software systems, supplier coordination, and lifecycle management in a fast-moving robotics environment.

Humanoid London, United Kingdom
On-site Permanent