Machine Learning Infrastructure Engineer

New Yesterday

ML & Cloud Infrastructure Engineer London Up to £150000
About the Role A cutting-edge AI start-up is pioneering the development of frontier 3D foundation models, pushing the boundaries of computer vision and spatial computing. Their mission is to redefine how industries such as robotics, AR/VR, gaming, and film generate and interact with 3D content. They are now seeking an ML & Cloud Infrastructure Engineer to join their growing team.
This is a unique opportunity to work at the forefront of AI innovation, building the infrastructure that underpins complex ML workloads and production systems. You’ll play a central role in scaling the company’s platforms and ensuring their pioneering technology reaches its full potential.
Key Responsibilities, Develop and maintain scalable, high-performance cloud-based infrastructure for ML workloads and API deployment. Manage and optimize cloud platforms (AWS, Azure, GCP) and set up ML nodes for local and distributed training. Install, configure, and monitor servers, ensuring system reliability. Design and optimize storage solutions for large-scale ML datasets. Manage containerized applications with Docker, Kubernetes, Terraform, and related tools. Collaborate with ML engineers and researchers to ensure seamless orchestration of training and production environments. Troubleshoot and respond to cloud/production incidents, implementing long-term solutions.
What We’re Looking For At least 3 years of professional experience in a cloud-related engineering role (ML-related experience highly desirable). Strong scripting skills (Bash, PowerShell, Python, etc.) for automation. Proven expertise in at least one major cloud platform (AWS, GCP, or Azure). Experience with containerization and orchestration (Docker, Kubernetes). Ability to manage and optimize large-scale cloud infrastructure. Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch). Experience with cloud monitoring tools (Prometheus, Grafana). Exposure to cloud-based databases (RDS, Aurora, Spanner, etc.) and data-visualisation tools. Knowledge of CI/CD tools (e.g., CircleCI).
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Location:
London, England, United Kingdom
Job Type:
FullTime

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