ML Platform Lead β€” Hands-on Architect & Scale

ML Platform Lead β€” Hands-on Architect & Scale

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the ML Platform Team and shape strategy for GPU compute infrastructure.
  • Company: Join Boston Dynamics, a leader in robotics and innovation.
  • Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
  • Other info: Opportunity to grow a team and establish scalable processes.
  • Why this job: Make a real impact by driving platform scalability and collaborating with top ML talent.
  • Qualifications: Experience in engineering management and a strong background in machine learning.

The predicted salary is between 80000 - 100000 Β£ per year.

Boston Dynamics is seeking a Senior Engineering Manager to lead the ML Platform Team.

You will shape strategy, own GPU compute infrastructure, and drive platform scalability while contributing hands-on.

The role includes growing the team from 4 to ~10–12 engineers, defining roles, and establishing scalable processes.

You will work closely with ML researchers and engineers to deliver reliable platform capabilities.

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ML Platform Lead β€” Hands-on Architect & Scale employer: Boston Dynamics

Boston Dynamics is an exceptional employer, offering a dynamic work environment in the heart of the United Kingdom where innovation thrives. Employees benefit from a collaborative culture that fosters professional growth through hands-on experience with cutting-edge robotics technology, alongside opportunities for continuous learning and development. With a commitment to safety and reliability, team members are empowered to contribute to groundbreaking projects that redefine the future of humanoid robotics.

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Contact Details:

Boston Dynamics Recruitment Team

We think you need these skills to ace ML Platform Lead β€” Hands-on Architect & Scale

Leadership Skills
GPU Compute Infrastructure Management
Platform Scalability
Team Growth and Development
Role Definition
Process Establishment
Collaboration with ML Researchers