Lead Platform Engineer - Must be DV Clearable - 5 days a week on-site 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. What you''ll be doing You''ll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within ..... full job details .....