Platform Engineer

Summary

We're hiring platform engineers to build and operate the secure, self-service platform that lets teams develop, evaluate, deploy and monitor AI products consistently.

This is a platform engineering role first AI-specific knowledge is welcome but can be developed on the job. What's non-negotiable is solid platform engineering discipline.

What you'll be doing

• Providing reusable environments, pipelines, templates, SDKs and deployment capabilities
• Integrating approved models, data sources, identity systems, secrets and enterprise tools
• Building observability for quality, latency, usage, cost, security and operational health
• Automating policy enforcement, evidence collection and environment promotion
• Establishing reliable runtime capabilities for agents, tools, retrieval and scheduled workflows
• Operating the platform with clear service levels, incident management and capacity planning
• Improving developer experience through documentation, paved roads and self-service workflows
• Managing platform security, resilience, lifecycle, portability and vendor dependencies

What we're looking for

• A cloud or platform engineer experienced in infrastructure as code, CI/CD, containers, identity, observability and production operations
• Someone who can pick up AI-specific concepts quickly deep platform engineering fundamentals matter more
• A problem-solver mindset, comfortable working across multiple business areas rather than a single fixed remit
• MBB consulting background (McKinsey, Bain, BCG) is a strong plus, though not required for this role

How this works

Open to contract or permanent hire

UK-based candidates: ideally on-site 3 days a week

Candidates based outside the UK: on-site 3 days every fortnight, with flights and accommodation covered for the right candidate with consulting-firm pedigree

All contract engagements sit inside the scope of IR35