AI Engineer Manager

Salary: £19,500 - 35,500 per year

Requirements:

• A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field.
• Proven experience leading multi-disciplinary teams to deliver AI/ML solutions to production.
• Demonstrable technical leadership experience for AI delivery, including architecture, product design principles and engineering excellence.
• Experience with modern AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), agentic AI, model evaluation and monitoring using metrics such as precision, recall, NDCG and drift detection.
• Strong Python skills with a grounding in software engineering best practices, including CI/CD, testing and code reviews.
• Experience developing solutions at scale on cloud platforms such as Azure and AWS, including containerisation and orchestration tools like Kubernetes and Docker.
• Expertise in data engineering for AI, including handling large-scale, unstructured and multimodal data.
• Understanding of responsible AI principles, model interpretability and ethical considerations.
• Strong interpersonal skills with the ability to lead client projects, manage C-level stakeholders and establish requirements and architecture concepts.
• Experience managing, coaching and developing junior members of a team and wider community.
• Demonstrable experience with modern deep learning frameworks such as PyTorch and TensorFlow, and with fine-tuning or distillation of LLMs such as GPT, Llama, Claude and Gemini.
• Experience with machine learning libraries such as scikit-learn and XGBoost.
• Experience with data storage for AI, vector databases, semantic search and knowledge graphs.
• Active contribution to open-source AI projects, research publications and industry events or websites.
• Familiarity with AI security, privacy and compliance standards such as ISO42001.
• Experience shaping commercial AI offerings, winning AI work and providing wider pre-sales support.

Responsibilities:

• Deliver advanced AI solutions leveraging state-of-the-art machine learning, generative AI and agentic AI technologies.
• Drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures.
• Provide technical leadership and engage with senior stakeholders to agree architectural principles, strategic direction and system architecture.
• Foster a culture of innovation, continuous learning and engineering excellence.
• Manage, coach and develop a team.
• Develop standards and policies.
• Build enduring customer relationships and embed commercial acumen.
• Provide direction and leadership for the team as it solves challenging problems together.

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• Fine-tuning
• Support
• Kubernetes
• Machine Learning
• PyTorch
• Python
• RAG
• Security
• TensorFlow

More:

We are Kainos, one of the UKs leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence and commercial sectors. Our 150-strong AI and Data Practice brings together expertise in machine learning, generative AI, agentic AI and data, and we are trusted by Microsoft, AWS and others to deliver advanced AI and data solutions at citizen scale. We are pioneers in responsible AI and partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. We offer a people-first culture where ideas are valued, growth is supported and contributions make a real difference. We are committed to diversity, equity and inclusion, and our friendly talent acquisition team supports candidates who need accommodations or adjustments during the recruitment process. This is a full-time role in our Data & Artificial Intelligence profession.

last updated 37 week of 2026