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 and 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 APIsSetting up ML nodes for distributed training and local developmentManaging containerised environments (Docker, Kubernetes, Terraform)Optimising storage for big data pipelines supporting ML workloadsMonitoring systems and responding to incidents, ensuring reliability and performanceWorking closely with ML engineers and researchers to integrate infra with production workloadsWhat you''ll bring

6+ years'' experience in cloud engineering, ideally with ML-related workloadsProficiency in scripting (Bash, PowerShell, Python)Start-up/Scale-up ExperienceStrong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes)Experience in automating deployments and orchestrating cloud environmentsNice to have

Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experienceThis 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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