Machine Learning & Reinforcement Learning Lead...

Job Description

🚨 Hot Opportunity Alert! 🚨

💥 Salary: £120,000 - £150,000

📍 Central London Office 📍

I’m thrilled to be working with one of the most exciting robotics R&D companies out 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.