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