ML & Cloud Infrastructure Engineer - Harnham - Data & Analytics Recruitment : Job Details

Role: ML & Cloud Infrastructure EngineerSalary: £140,000 - £160,000 + Equity Location: 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.

They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform and practices in a fast-moving startup environment.

The role will involve:

• 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.

If you're passionate about building world-class ML infrastructure and want to be part of a mission-driven startup, apply today.