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Direct message the job poster from Harnham Building Data, Software & DevOps teams in the UK | The Talent Driving The Dataand AI Revolution

Role:

ML & Cloud Infrastructure Engineer Salary:

£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. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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