AI Engineering Manager

Location: Hybrid, Belfast, UK

Salary: Up to £130,000 per year

Company

AI and data business delivering production-grade machine learning, generative AI, agentic AI, and data engineering solutions for government, healthcare, defence, and commercial clients.

What you will do

• Lead multidisciplinary teams delivering AI and ML solutions to production across government, healthcare, defence, and commercial clients.
• Drive adoption of modern AI frameworks, AIOps practices, and scalable cloud-native architectures.
• Engage senior and C-level stakeholders on architectural principles, system architecture, and strategic direction.
• Manage, coach, and develop team members while promoting engineering standards, continuous learning, innovation, and commercial acumen.
• Build enduring client relationships and contribute to commercial AI offerings and pre-sales support.

Requirements

• Proven experience leading multidisciplinary teams delivering AI and ML solutions to production.
• Technical leadership experience across AI delivery, architecture, product design, and engineering excellence.
• Experience with prompt engineering, RAG, agentic AI, model evaluation, and monitoring.
• Strong Python skills and software engineering practices including CI/CD, testing, and code reviews.
• Experience delivering at scale on Azure and AWS, with containerisation and orchestration using Kubernetes and Docker.
• Expertise in AI data engineering, including large-scale, unstructured, and multimodal data.
• Understanding of responsible AI, model interpretability, and ethical considerations.
• Strong interpersonal skills for leading client projects and managing C-level stakeholders; experience managing, coaching, and developing junior team members.
• Degree graded 2.1 or above in Computer Science, AI, Data Science, Statistics, or a related quantitative field.

Nice to have

• Experience with PyTorch or TensorFlow and fine-tuning or distillation of LLMs including GPT, Llama, Claude, or Gemini.
• Experience with vector databases, semantic search, and knowledge graphs.
• Contributions to open-source AI projects, research publications, or industry events.
• Familiarity with AI security, privacy, and compliance standards such as ISO42001.
• Experience shaping commercial AI offerings and winning AI work through pre-sales support.

Culture & Benefits

• Hybrid working in Belfast, UK.
• Work within a 150-person AI and Data Practice focused on responsible AI, innovation, continuous learning, and engineering excellence.
• Deliver AI solutions for consequential public-sector, healthcare, defence, and commercial use cases at citizen scale.