Machine Learning Infrastructure Engineer

Overview
Do you want to own the ML infrastructure at a frontier AI startup?Have you built cloud and ML systems from scratch, not just maintained them?Are you ready to shape the backbone of 3D generative AI?SpAItial is pioneering the development of a frontier 3D foundation model, combining cutting-edge AI, computer vision, and spatial computing to redefine how industries — from robotics and AR/VR to gaming and film — generate and interact with 3D content. Backed by £13m in seed funding, with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year.Responsibilities
Design and deploy scalable, high-performance cloud infra for ML workloadsBuild and manage GPU clusters, storage systems, and distributed training environmentsSet up and optimise containerised workflows (Docker, Kubernetes, Terraform)Implement robust monitoring, incident response, and CI/CD practicesCollaborate closely with researchers to integrate and scale experimentsThis person must have experience building ML Infrastructure and cloud architecture from scratchKey Details
Salary:
£100k–£130k (flexible for strong profiles)Working Model:
On-site, LondonTech Stack:
AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/GrafanaIf you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you.
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