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Machine Learning Infrastructure EngineerHarnhamLondon, England, United Kingdom
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Machine Learning Infrastructure Engineer

Harnham
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
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About

Machine Learning Infrastructure Engineer This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range Up to £180,000
Location 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
Seniority level Mid-Senior level
Employment type Full-time
Job function Software Development
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  • London, England, United Kingdom

Languages

  • English
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