Guillaume De Chambrier is Head of Machine Learning with over a decade of experience building and leading ML and robotics teams across industry and academia. He holds a PhD from EPFL where he taught advanced ML and developed robots that learn tactile search and socket-connection behaviors from humans and self-improve via reinforcement learning. At Ocado and Safi he combined low-level control, system identification and deep learning to ship real-time robotic manipulation systems and lead multi-year research roadmaps and budgets. His background spans UAV path-planning, multi-agent RL and RTOS-enabled closed-loop control, reflecting rare full-stack robotics expertise from hardware to learning algorithms. Guillaume pairs rigorous academic training with hands-on engineering—he’s contributed teaching platforms and industrial robot control architectures in addition to research code. Based in London, he’s known for turning POMDP and human-demonstration research into practical, production-ready robotic systems.
12 years of coding experience
5 years of employment as a software developer
Master of Informatics AI, Master of Informatics AI at The University of Edinburgh
Doctor of Philosophy (Ph.D.) Robotics Machine Learning, Doctor of Philosophy (Ph.D.) Robotics Machine Learning at EPFL
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universität des Saarlandes
Contributions:26 commits, 24 pushes, 1 branch in 1 day
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Guillaume De Chambrier - Head Of Machine Learning at Safi