Overview
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Role: ML & Cloud Infrastructure EngineerSalary: £140,000 – £160,000 + EquityLocation: London – Hybrid (3-5 days a week)
Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with 3D content. The role is to design and maintain scalable infrastructure powering cutting-edge machine learning workloads and production systems in a fast-moving startup environment.
Responsibilities
- Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs
- Setting up ML nodes for distributed training and local development
- Managing containerised environments (Docker, Kubernetes, Terraform)
- Optimising storage for big data pipelines supporting ML workloads
- Monitoring systems and responding to incidents, ensuring reliability and performance
- Working closely with ML engineers and researchers to integrate infra with production workloads
What you’ll bring
- 6+ years’ experience in cloud engineering, ideally with ML-related workloads
- Proficiency in scripting (Bash, PowerShell, Python)
- Start-up/Scale-up Experience
- Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes)
- Experience in automating deployments and orchestrating cloud environments
Nice to have
- Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience
This is a unique opportunity to join a visionary team redefining AI in 3D, with the chance to make a real impact at the cutting edge of spatial computing.
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