Lead Platform Engineer

Building the platforms that make AI and machine learning work in production

We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production.

This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale.

The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments.

You'll act as a technical leader across platform engineering, Dev Ops, and MLOps, remaining deeply involved in implementation.

You will:

• Provide technical leadership across platform, Dev Ops, and MLOps activities
• Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle
• Implement an...