Machine Learning Engineer – Robotics (Reinforcement & Supervised/Unsupervised Learning)

Contract –6 month - Outside IR35

Day rate– Negotiable

Location– London (Onsite)

Start date –Immediately

My client is seeking aMachine Learning Engineerto 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