Senior Reinforcement Learning Engineer

Senior Reinforcement Learning Engineer – Robotics | London

We’re working with a highly innovative robotics company developing next-generation robotic systems, and we’re looking for a Senior Reinforcement Learning Engineer to join the team.

You’ll work on challenging problems across dynamic locomotion, balance, contact-rich manipulation and multi-behaviour learning, taking policies from large-scale simulation through to deployment on real hardware.

What you’ll do

• Design and train RL policies for robotic control
• Build scalable training pipelines using Isaac Lab, MuJoCo or similar
• Design reward functions, observations and training curricula
• Improve sim-to-real transfer and policy robustness
• Deploy and evaluate policies on real robotic systems
• Work closely with controls and robotics engineers to integrate learned policies

What we’re looking for

• Strong hands-on experience with reinforcement learning, such as PPO, SAC or offline RL
• Experience applying RL to robotics or physical systems
• Experience deploying learned policies on real robotic hardware
• Strong Python and/or C++
• Experience with physics-based simulation environments

Experience with locomotion, sim-to-real, robot dynamics, control or whole-body control is particularly relevant.

This is a highly technical, senior-level opportunity with significant ownership across the RL pipeline, from simulation and training through to real-world deployment.

Location: London

Level: Senior

Relocation support available

For further details, please get in touch for a confidential conversation.