Machine Learning Infrastructure Engineer

Harnham
London
2 months ago
Applications closed

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Lead MLOps Engineer

ML & Cloud Infrastructure Engineer

Up to £180,000

London (Hybrid, 3/4/5 days onsite per week)



Company:

Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with 3D content.



Responsibilities:

  • Develop high-performance, cloud-based systems for ML training and API serving
  • Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows
  • Configure servers, monitor performance, and optimize storage for large-scale ML data
  • Use Docker, Kubernetes, and Terraform to deploy and scale applications
  • Collaborate with researchers and engineers to streamline ML operations
  • Handle incidents, troubleshoot issues, and improve system robustness



Requirements:

  • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
  • 3 years professional experience in a cloud-related role, preferred ML-related.
  • Strong coding skills in Python and SQL
  • Proficiency in cloud platforms
  • Proficiency in containerization
  • Proficiency in orchestrating a cloud

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