AI Engineering Manager in Belfast

AI Engineering Manager - Healthcare (UK-wide) At a Glance Lead delivery of AI for healthcare and public sector clients, as the senior technical voice on the project UK-wide, with a remote base. Expect up to three days a week on client site, though not every week, with expenses covered Hands-on production AI: classic machine learning as well as GenAI, deployed and served at scale Two-stage interview process with no technical test Must be eligible for SC clearance About the Company This is a UK-leading AI and data consultancy with a decade-long record of delivering production-grade AI across government, healthcare, defence and commercial clients. Their 150-strong AI and Data practice spans machine learning, generative and agentic AI, and data, and they're recognised for responsible, secure AI. Healthcare is one of their biggest growth areas, with room to shape how the practice develops. Role Overview You'll be the technical lead for AI solutions that real services depend on, usually the most senior technical person on the project. That means leading software and platform engineers as well as the AI components, and going from design to production. It's a consulting role: you'll work with senior client stakeholders, plan and manage delivery, spot new opportunities and support bids, with credible delivery coming first. You'll also manage, coach and develop your team. Travel is part of the job. You'll be on client site up to three days a week, but not every week, so you need to be comfortable with regular travel across the UK. Key Responsibilities Own technical delivery of AI solutions from architecture through to production Deploy and serve machine learning models in production at significant scale Lead multi-disciplinary engineering teams across the whole solution, not just the AI component Agree architecture, principles and direction with senior client stakeholders Drive adoption of modern AI frameworks, AIOps practices and cloud-native architectures Plan and manage client delivery, balancing quality, timelines and commercial outcomes Support tenders and bids, and identify new opportunities within client accounts Manage, coach and develop engineers, and raise standards across the practice Build long-term client relationships based on trusted delivery Contribute to the wider AI community through knowledge sharing and events What You'll Need Essential A proven record of deploying and serving ML models in production at scale, with classic ML experience (computer vision, MLOps and similar) as well as GenAI, LLMs, RAG and agentic AI Strong Python and engineering discipline (CI/CD, testing, code review) on Azure and/or AWS with Docker and Kubernetes, plus experience leading and coaching engineering teams Client-facing consulting ability, from senior stakeholders to delivery management and commerciality Eligibility for SC clearance (UK national with five years' UK residency) and comfort with regular client-site travel Desirable Healthcare or public sector delivery experience, or existing SC clearance LLM fine-tuning, vector databases, semantic search, or AI compliance (e.g. ISO 42001) Pre-sales experience and shaping AI offerings Benefits