Machine Learning Infrastructure 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

Location: London,, GB

Posted Date: 10/31/2025