Senior ML & Infrastructure Engineer

ML & Cloud Infrastructure Engineer - Pioneering AI in 3D

London (1-2 Days per week in Office)

Up to £200,000 (Potentially more) + Equity

I'm working with a cutting-edge startup that's building a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is bold: to transform industries like robotics, AR/VR, gaming, and film by redefining how 3D content is generated and experienced.

They're now looking for a ML & Cloud Infrastructure Engineer who can design, build, and maintain the backbone that powers these ambitious workloads. This is an opportunity to be part of a deep-tech team at the forefront of the AI revolution in 3D.

• Impact: You'll create the infrastructure that makes advanced ML and 3D workloads possible at scale.

• Ownership: Full responsibility for cloud deployment, orchestration, and distributed ML pipelines.

• Innovation: Join a team of bold thinkers working on first-of-its-kind technology.

• Growth: Be part of a fast-moving startup where your work directly drives the product vision.

• Designing and deploying scalable, high-performance cloud infrastructure for ML workloads.

• Managing cloud platforms (AWS, GCP, Azure) and setting up ML nodes for both local development and distributed training.

• Optimizing storage systems to handle big data for ML.

• Building and scaling containerized applications with Docker, Kubernetes, Terraform, etc.

• Responding to production incidents and driving long-term solutions.

• Working closely with ML engineers to orchestrate smooth development and production workflows.

• 3+ years' experience in a cloud-related role (ML-related is a big plus).

• Strong scripting ability (Bash, Python, PowerShell, etc.) for automation.

• Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform).

• Skilled in cloud platforms (AWS, GCP, or Azure).

Bonus points for:

• Familiarity with ML frameworks (PyTorch, Jupyter).

• Knowledge of cloud monitoring tools (Prometheus, Grafana).

• Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.).

• Exposure to CI/CD pipelines (e.g., CircleCI).

• The chance to shape the future of 3D AI technology.

• A collaborative, mission-driven team working at the frontier of innovation.

• A startup culture that values bold ideas, creativity, and excellence.

If you're excited by the idea of building the infrastructure behind next-generation AI for 3D, and want to join a team of visionary engineers and researchers, this could be the perfect fit.