Machine Learning & Reinforcement Learning Lead
Slough, England, United Kingdom
JR United Kingdom
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. #J-18808-Ljbffr More ❯
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