ML & Cloud Infrastructure Engineer

London Source: WhatJobs

£140,000–£160,000

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 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. 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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