Onsite London: Robotics RL Engineer - Manipulation Policy

Secure Consult in London is seeking a hands-on ML engineer to advance reinforcement learning for robotic manipulation. You will work across simulation and real-world environments, building robust policies and deployment pipelines.

The role requires 3+ years in deep learning for robotics, strong Python and PyTorch or JAX skills, and familiarity with robotics simulators like MuJoCo or Isaac Sim. Onsite, full-time position in London.