Machine Learning Engineering ManagerWe'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.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.You'll combine leadership, architectural thinking and deep engineering skills to shape the ML platform, coach engineers and deliver robust, enterprise-ready ML services.What you'll do Lead, mentor and develop a small team of ML Engineers Oversee delivery of ML capabilities and support planning and capacity needs Shape architecture from early design through to production Build and maintain Python APIs (Flask/FastAPI) for model serving Develop infrastructure for real-time and batch deployments Design and maintain CI/CD pipelines for models Ensure code quality, engineering best practice and scalable cloud deployments Collaborate with data scientists, platform engineers and developers Support model lifecycle management, monitoring and automation Break down solution designs into deliverables and milestonesWhat you'll bring 5+ years as an ML Engineer with strong Python engineering skills Experience deploying and maintaining ML models in production (Vertex AI required) Strong software engineering fundamentals: OOP, unit testing, TDD Cloud experience (GCP, AWS or Azure) and IaC tools such as Terraform Experience with Docker, CI/CD pipelines and Git workflows Understanding of data science principles and taking research code to production Strong problem-solving skills and the ability to work independently Comfortable working in Agile teams Clear communication, collaboration and a proactive, improvement-driven mindset