AI Engineering Manager (Healthcare AI)

Location: United Kingdom-wide, with regular client-site travel. Candidates must be eligible for SC clearance as UK nationals with five years of UK residency.

Salary: £90,000–£110,000 + bonus

Company

Leading AI and data consultancy delivering production-grade AI across healthcare, government, defence, and commercial sectors, with partnerships with Microsoft and AWS.

What you will do

• Lead the design, deployment, and serving of production AI solutions at significant scale.
• Own technical direction and architectural principles across complete client solutions.
• Lead multidisciplinary teams of AI, software, and platform engineers.
• Drive cloud-native architecture, AIOps, model evaluation, monitoring, drift detection, and responsible AI practices.
• Work with senior client stakeholders on strategic direction, opportunities, bids, and tenders.
• Coach engineers and help establish technical standards across the wider engineering community.

Requirements

• Proven experience deploying and serving machine-learning models in production at significant scale, including several years of traditional ML experience predating GenAI.
• Hands-on GenAI experience with prompt engineering, RAG, agentic AI, model evaluation, precision, recall, NDCG, and drift detection.
• Technical leadership of multidisciplinary teams delivering AI into production, plus experience managing, coaching, and developing engineers.
• Strong Python and software-engineering practices, including CI/CD, testing, and code reviews.
• Experience delivering solutions at scale on Azure and/or AWS, with Docker and Kubernetes.
• AI data-engineering experience with large-scale, unstructured, and multimodal data.
• Confidence leading client projects and managing C-level stakeholders.
• A 2.1 degree or above in Computer Science, AI, Data Science, Statistics, or a similar quantitative field.
• Eligibility for SC clearance as a UK national with five years' UK residency, plus comfort with regular client-site travel.

Nice to have

• Healthcare or public-sector delivery experience, ideally in a consultancy.
• Existing SC clearance.
• LLM fine-tuning or distillation, vector databases, knowledge graphs, or AI compliance standards such as ISO42001.

Culture & Benefits

• UK-wide working with client travel expenses covered.
• Dedicated talent-development support and investment in training and upskilling.
• Long-term career development from graduate through principal level.
• Excellent salary and benefits package.
• Two-stage interview process with no technical test.

Hiring process

• Two interview stages with no technical test.
• Apply through hirify.global People by connecting with Chanel Gillen on LinkedIn or sending a CV to chanel@hirify.globalpeople.com.