AI Infrastructure / MLOps Engineer (Contract)

AI Infrastructure / AI Operations Engineer (Contract)

Location: Edinburgh, UK and/or London, UK

Onsite: 3 days per week (mandatory)

Start: ASAP

Duration: 12–24 months (high likelihood of extension)

About the Role

This role focuses on building, operating, and scaling AI infrastructure, ensuring stable, performant, and automated ML production environments in close collaboration with data science and engineering teams.

What You’ll Do

• Build and operate production AI / ML infrastructure
• Support model deployment, monitoring, scaling, and lifecycle management
• Automate workflows for training, evaluation, and deployment pipelines
• Work with GPU-based systems, distributed compute, and CI/CD pipelines
• Partner closely with data scientists and engineers to keep AI systems stable, efficient, and scalable

What You Bring

• Strong background in AI Ops, MLOps, DevOps, or Infrastructure Engineering
• Hands-on experience with Linux, automation, scripting (Python / Bash)
• Experience with distributed systems and compute-heavy environments
• Familiarity with containers and orchestration (Docker, Kubernetes, or similar)
• Comfortable working onsite in Edinburgh 3 days/week

Nice to Have

• GPU / CUDA experience
• Exposure to HPC or large-scale AI platforms
• Experience with monitoring & observability tools (e.g., Prometheus, Grafana)