Senior Platform Engineer

<p>Job Description</p><br>Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.<br><p>Senior Platform Engineer</p><p>Build and operate the platforms that make AI and machine learning work at scale</p><p>We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery.</p><p>This is a hands-on senior platform role, focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production.</p><p>While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role. Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale.</p><p>What you'll be doing</p><p>You'll be responsible for building a production-grade AI / ML platform, not just running clusters.</p><p>You will:</p><ul><li>Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams</li><li>Extend Kubernetes with MLOps-specific capabilities, rather than treating it as a finished product</li><li>Provideplatform-level support for:<ul><li>Model development and experimentation</li><li>Model packaging, deployment, and promotion</li><li>Scalable inference and LLM-based workloads</li></ul></li><li>Build shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineers</li><li>Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose</li><li>Own platform operability, reliability, security, and lifecycle management in production</li><li>Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers</li><li>Contribute to architectural decisions while remaining hands-on with implementation</li></ul><p>What we're looking for</p><p>This role is ideal for someone who sees themselves first and foremost as a platform engineer, with the depth to support AI and ML workloads properly.</p><p>Essential experience:</p><ul><li>Strong background as a Senior Platform Engineer or Senior DevOps Engineer</li><li>Deep, hands-on experience building and operating Kubernetes-based platforms</li><li>Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform)</li><li>Proven experience building internal platforms for other engineers, not just running workloads</li><li>Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability</li><li>Comfortable collaborating closely with MLOps engineers and data scientists, even where responsibilities differ</li></ul><p>ML platform & MLOps knowledge (important)</p><p>You don't need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production.</p><p>Experience or exposure to areas such as:</p><ul><li>MLOps platforms (e.g. Kubeflow or similar frameworks)</li><li>Model serving and inference platforms (e.g. KServe, vLLM, or equivalent)</li><li>Supporting LLM-based workloads, including performance and scaling considerations</li><li>Notebook environments such as JupyterHub</li><li>Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions</li></ul><p>This ensures you're building a platform that actually works for AI use cases - not a generic compute layer.</p><p>Desirable experience</p><ul><li>Working in organisations with a clear AI or data platform strategy</li><li>Supporting data scientists or ML engineers at scale</li><li>Experience in regulated, secure, or high-assurance environments</li><li>Designing platforms that balance flexibility, governance, and control</li></ul><p>If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. xwzovoh If interested, apply now!</p><p>Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.</p>