Machine Learning Engineer Robotics (Reinforcement & Supervised/Unsupervised Learning)Contract 6 month - Outside IR35Day rate Negotiable Location London (Onsite)Start date Immediately My client is seeking a Machine Learning Engineer to drive innovation in real-world robotics applications by advancing learning techniques across supervised, unsupervised, and reinforcement learning.Key Responsibilities:Design and implement machine learning models to enhance robot autonomy in dynamic environments.Develop and optimize reinforcement learning algorithms for robotic decision-making.Apply supervised and unsupervised learning for perception, object recognition, and sensor fusion.Collaborate with robotics, hardware, and software teams to integrate ML solutions into real-time systems.Qualifications:Experience in ML for robotics with proficiency in Python, TensorFlow/PyTorch.Expertise in RL, supervised, and unsupervised learning techniques.Experience deploying models on robotic platforms.BS/MS/PhD in Computer Science, Robotics, or a related field.Proficiency in Python, C++, and deep learning libraries (PyTorch, TensorFlow, etc.).Hands-on experience with reinforcement learning (model-based, multi-task, multi-agent) and supervised learning in robotic systems.Strong background in algorithms, software engineering, and modern ML techniques.Join us to push the frontier of robotics and autonomous systems by sending your CV to s.williams@cubiqrecruitment.com











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