Machine Learning Scientist Robotics Manipulation Location: Remote initially, with future on-site presence required in London or Bristol. Salary: Competitive, plus equity options. About the Role Join a fast-growing, well-funded robotics company thats redefining autonomous systems to perform complex, human-like tasks. This is a unique opportunity to work at the cutting edge of robotics, driving forward innovations in robotic manipulation, dexterous control, and autonomous grasping. The company is developing multi-tasking, grasping robots designed to navigate, handle tools, and perform intricate, dexterous tasks with human-like precision. Backed by seasoned founders with a track record of high-value ventures, this team is set to be a major player in the future of robotics. The Role As a Machine Learning Scientist, youll play a key role in developing and refining the algorithms that drive dexterous manipulation. The focus is on techniques like reinforcement learning, imitation learning, and behavioural cloning to enable robots to perform advanced grasping, control, and multi-tasking. Youll be instrumental in taking concepts from research to real-world deployment on robotic platforms. Key Responsibilities Design and implement ML models for robotic manipulation with a specific focus on hands and fingers. Apply techniques in reinforcement learning, imitation learning, and behavioural cloning to solve dexterous manipulation tasks. Conduct experiments and improve robot dexterity and adaptability. Transform research into production-ready solutions for real-world robotics platforms. Work hands-on with robotic platforms to test and deploy solutions in dynamic, human-like environments. Requirements Masters degree or higher in Machine Learning, Robotics, or a related field. Experience in reinforcement learning, imitation learning, and behavioural cloning. Demonstrated experience developing robotic manipulation capabilities, especially in grasping and control for hands and fingers. Hands-on experience with real-world robotic platforms. Proficiency in Python, TensorFlow, PyTorch, and automation frameworks. Why Join? Innovative Projects : Be at the forefront of robotics technology, working on world-first capabilities for autonomous manipulation. Industry Experts : Collaborate with top talent and industry veterans known for building successful, high-value ventures. Rewarding Package : Competitive salary, equity options, and growth potential as the company scales. This is a rare chance to join a company thats shaping the future of robotics and autonomy. If you have experience with dexterous manipulation, grasping control, and reinforcement learning, we want to hear from you. Apply today to be part of the future of robotics. ADZN1_UKTJ