Machine Learning & Reinforcement Learning Lead

🚨Hot Opportunity Alert!🚨

💥Salary: £120,000 - £150,000

📍Central London Office📍

I’mthrilledto be working with one of themost exciting robotics R&D companiesout there 🤖✨

We’re looking for a Senior Engineer with deep expertise in reinforcement learning to help drive the development of intelligent, full-body motion capabilities. This role is ideal for someone passionate about building robust, real-world solutions for dynamic locomotion and manipulation in complex environments.

Key Responsibilities:

• Design and implement learning-based control strategies for advanced locomotion tasks such as walking, balancing under load, stair climbing, and fall recovery.
• Develop high-fidelity simulation environments that reflect real-world dynamics, including actuator constraints and environmental interactions.
• Conduct rigorous testing in both simulated and physical environments to ensure performance and reliability.
• Collaborate with multidisciplinary teams to integrate control systems into a unified robotic platform.

Required Experience & Skills:

• MSc or PhD in Robotics, Control Engineering, Machine Learning, or a related field.
• 3+ years of experience developing control systems for legged robotic platforms.
• Strong background in reinforcement learning applied to robotic control.
• Deep understanding of humanoid robot dynamics and control theory.
• Proven experience with deploying algorithms on physical robots, including hardware-in-the-loop testing.
• Strong programming skills in Python and C++.
• Familiarity with hybrid control systems that combine classical and learning-based approaches.

Bonus Skills:

• Experience with real-time control systems and minimizing latency in robotic applications.
• Knowledge of trajectory optimization and motion planning under uncertainty.
• Exposure to collaborative or multi-agent robotic systems.
• Understanding of safety-critical control strategies and system-level fault tolerance.