Senior Machine Learning Engineer

2 Positions: Machine Learning Engineer & Machine Learning Researcher

My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems.

You'll be joining a team of accomplished roboticists with excellent PhDs, high-impact research, and industrial know-how, who will help nurture and develop you to the next level!

Salary: Up to £150k

Location: London

Onsite: Most days

What You’ll Be Doing (Machine Learning Engineer):

• Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems
• Build robust data pipelines and work with multi-modal sensor data
• Collaborate with a talented team of researchers to improve and refine algorithms for real-world tasks
• Ensure the scalability and maintainability of production systems, with a strong focus on (low-level) MLOps

What You’ll Be Doing (Machine Learning Researcher):

• Conduct groundbreaking research to develop new algorithms and models for robotics
• Work on advanced learning approaches such as reinforcement learning and imitation learning
• Contribute to creating multi-robot systems and cross-embodiment learning techniques
• Drive innovation by publishing research and attending top conferences

Engineer Background:

• Expertise in PyTorch or TensorFlow, distributed computing, and multi-GPU training
• Robotics experience, particularly in reinforcement/ imitation learning
• Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization
• Ability to translate research papers into deployable systems

Researcher Background:

• PhD or advanced degree in Robotics, Machine Learning, or a similar field
• Experience with top-tier conferences like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS
• Strong knowledge of reinforcement learning, imitation learning, and real-world deployment