ML & Cloud Infra Engineer - Scale World Model AI Systems

SpAItial AI

Greater London

On-site

GBP 60,000 - 85,000

Full time

14 days+
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Job summary

SpAItial AI is looking for a Machine Learning & Cloud Infra Engineer to manage and evolve the infrastructure for their cutting-edge World Model research. This role includes designing and operating GPU clusters, implementing monitoring for system health, and enabling high-throughput training stacks. The ideal candidate has 3+ years of experience in cloud engineering, strong skills in GPU performance debugging, and proficiency with tools like Docker and Terraform. Join a diverse and innovative team committed to reimagining 3D interactions in various industries.

Qualifications

  • 3+ years of professional experience in infrastructure, platform, or cloud engineering.
  • Hands-on experience with GPU compute and performance debugging.
  • Proficiency with containers and orchestration, especially Docker and Kubernetes.

Responsibilities

  • Own and evolve the ML + cloud infrastructure for training and evaluation.
  • Design and operate GPU clusters and manage multi-node training environments.
  • Implement monitoring, logging, and ensure cluster health and cost management.

Skills

GPU compute performance debugging
Cloud environments (AWS, GCP, Azure)
Containerization and orchestration (Docker, Kubernetes)
Scripting and automation (Python, Bash/PowerShell)
Distributed training (PyTorch, DDP/FSDP)
Monitoring and observability (Prometheus, Grafana)
CI/CD for infra and ML workflows

Tools

Terraform

Job description

SpAItial AI is looking for a Machine Learning & Cloud Infra Engineer to manage and evolve the infrastructure for their cutting-edge World Model research. This role includes designing and operating GPU clusters, implementing monitoring for system health, and enabling high-throughput training stacks. The ideal candidate has 3+ years of experience in cloud engineering, strong skills in GPU performance debugging, and proficiency with tools like Docker and Terraform. Join a diverse and innovative team committed to reimagining 3D interactions in various industries.
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