Remote Lead Platform Engineer in London

Software EngineeringReference: BBBH175803_1788884290 Lead Platform Engineer - Must be DV Clearable - 5 days a week on-site Building the platforms that make AI and machine learning work in productionWe'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. You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. Provide technical leadership across platform, DevOps, and MLOps activitiesDesign, build, and operate a Kubernetes‐based MLOps platform supporting the full model lifecycleImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooksPackage, version, and deploy modelsRun scalable inference and LLM‐based workloadsBuild and operate model serving and inference platforms within Kubernetes environmentsWork closely with data scientists and ML engineers to ensure the platform is usable, well‐documented, and aligned to real workflowsOwn platform operability, reliability, security, and supportability in productionTroubleshoot complex issues across Kubernetes, platform services, and MLOps layersContribute to architectural decisions while staying hands‐on with deliveryApply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps. Strong background as a Senior or Lead Platform Engineer / DevOps EngineerDeep, hands‐on experience building and operating Kubernetes‐based platformsStrong practical experience with Helm and Infrastructure as Code (e.g. Terraform)Proven experience extending Kubernetes with higher‐level platforms and services, not treating it as the finished productStrong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenanceComfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research).Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworksRunning model serving and inference platforms (e.g. KServe, vLLM, or equivalent)Supporting LLM‐based workloads, including optimisation and serving considerationsProviding notebook‐based environments such as JupyterHub in secure platformsExposure to emerging tooling such as InstructLab, Trustworthy / Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teamsOperating AI‐enabled or data‐driven systems in productionExperience in regulated, security‐conscious, or high‐assurance environmentsDesigning platforms that balance user flexibility with governance and controlIf you believe Kubernetes is the base, not the product, enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact.