ML Ops Engineer York Hybrid

<p>Machine Learning Engineering Manager</p><p></p><p>We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions.</p><p></p><p>Sitting within our Group & Enterprise Services (GES) function, this role is part of the Data vertical and reports into the Head of Data Engineering. You'll be hands-on with cloud infrastructure, APIs and deployment pipelines, working mainly in GCP Vertex AI (essential) and Azure (desirable). Your focus will be enabling data scientists to deploy high-impact models reliably and at scale.</p><p></p><p>You'll combine leadership, architectural thinking and deep engineering skills to shape the ML platform, coach engineers and deliver robust, enterprise-ready ML services.</p><p></p><p>What you'll do</p><p> Lead, mentor and develop a small team of ML Engineers</p><p> Oversee delivery of ML capabilities and support planning and capacity needs</p><p> Shape architecture from early design through to production</p><p> Build and maintain Python APIs (Flask/FastAPI) for model serving</p><p> Develop infrastructure for real-time and batch deployments</p><p> Design and maintain CI/CD pipelines for models</p><p> Ensure code quality, engineering best practice and scalable cloud deployments</p><p> Collaborate with data scientists, platform engineers and developers</p><p> Support model lifecycle management, monitoring and automation</p><p> Break down solution designs into deliverables and milestones</p><p></p><p>What you'll bring</p><p> 5+ years as an ML Engineer with strong Python engineering skills</p><p> Experience deploying and maintaining ML models in production (Vertex AI required)</p><p> Strong software engineering fundamentals: OOP, unit testing, TDD</p><p> Cloud experience (GCP, AWS or Azure) and IaC tools such as Terraform</p><p> Experience with Docker, CI/CD pipelines and Git workflows</p><p> Understanding of data science principles and taking research code to production</p><p> Strong problem-solving skills and the ability to work independently</p><p> Comfortable working in Agile teams</p><p> Clear communication, collaboration and a proactive, improvement-driven mindset</p><img src="https://www.jobg8.com/Tracking.aspx?1cWG9WvfIsr3idvcB3mHvOIDPMKYv8%2bwo" width="0" height="0" />