Machine Learning Scientist - Robotics Manipulation Salary – £70k - £100k plus equity Location – Bristol About the Company Join an innovative robotics company focused on redefining autonomous systems to perform complex, human-like tasks.
Founded by visionaries with a track record of building successful tech companies, including a £2 billion venture, this team is revolutionising robotics with a state-of-the-art platform.
With end-to-end robotics solutions, they're developing multi-tasking, grasping robots designed to navigate, handle tools, and perform intricate, dexterous tasks autonomously.
This is a unique opportunity to join a high-growth, well-funded company on the cutting edge of robotics.
Role Overview As a Machine Learning Scientist, you'll be at the forefront of developing and enhancing algorithms for autonomous manipulation with a strong focus on dexterous control, reinforcement learning, and behavioural cloning.
You will drive research and apply techniques in reinforcement learning, imitation learning, and behavioural cloning for advanced robotic manipulation tasks.
The ideal candidate will have hands-on experience with robots designed for grasping and handling tasks with hands and fingers, bringing their expertise in reinforcement learning, imitation learning, and behavioural cloning to create high-performance autonomous systems.
Responsibilities Develop and implement ML models for robotic manipulation, focusing on grasping and control with hands and fingers.
Drive advancements in reinforcement learning, imitation learning, and behavioural cloning for dexterous tasks.
Collaborate with cross-functional teams to design and execute experiments to improve robot dexterity and adaptability.
Translate complex ML algorithms into scalable, production-ready solutions on robotic platforms.
Innovate with real-world testing and deployment, applying hands-on knowledge of grasping and manipulation in dynamic, human-like environments.
Requirements Master's degree or higher in Machine Learning, Robotics, or related field.
Demonstrable experience with reinforcement learning, imitation learning, and behavioural cloning.
Proven track record in developing manipulation capabilities for robots, ideally in grasping tasks involving hands and fingers.
Hands-on experience with real-world robotic platforms.
Strong skills in Python, TensorFlow/PyTorch, and automation frameworks.
Why Join Us?
Cutting-Edge Projects : Work on pioneering technology with a lasting impact on autonomous systems.
Top-Tier Team : Collaborate with industry-leading experts and founders with a proven history of building successful, high-value companies.
Competitive Compensation : Excellent salary, equity, and benefits package with growth opportunities as the company expands.
Be part of the future of robotics with a company that values innovation, expertise, and creative solutions for next-generation autonomy.
Apply or send your CV to