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Join Kainos and Shape the Future
At Kainos, we’re problem solvers, innovators, and collaborators—driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
Job Profile Description
Kainos is recognised as one of the UK’s 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. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS and others to deliver advanced AI and data solutions at citizen scale.
Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide, and we partner with leading organisations to ensure AI is deployed ethically, securely, and with measurable business value. Our teams are at the cutting edge of AI research and delivery—it is truly an exciting team to join as we further grow our AI capability.
Main Purpose of the Role & Responsibilities
As an AI Engineer Manager at Kainos, you’ll be responsible for the successful delivery of advanced AI solutions, leveraging state-of-the-art machine learning, generative, and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices, and scalable cloud-native architectures.
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Your role involves:
- Technical leadership, engaging with senior stakeholders to agree on architectural principles, strategic direction, and system architecture.
- Fostering a culture of innovation, continuous learning, and engineering excellence.
- Managing, coaching, and developing a team, with a focus on:
- Development of standards and policies.
- Enduring customer relationships.
- Embedding commercial acumen.
- Providing direction and leadership for your team as you solve challenging problems together.
Minimum (Essential) Requirements
- A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics, or a similar quantitative field.
- Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production.
- Demonstrable experience of technical leadership for AI delivery, including architecture, product design principles, and engineering excellence.
- Experience with the latest AI engineering approaches, such as:
- Prompt engineering.
- Retrieval-augmented generation (RAG).
- Agentic AI.
- Model evaluation and monitoring using metrics (e.g., precision, recall, NDCG, and drift detection).
- Strong Python skills, with grounding in software engineering best practices (e.g., CI/CD, testing, code reviews).
- Experience developing solutions at scale on cloud platforms (Azure & AWS), including containerisation and orchestration tools such as 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, including the ability to:
- Lead client projects.
- Manage C-level stakeholders.
- Establish requirements and architecture concepts.
- Experience in managing, coaching, and developing junior members of a team and wider community.
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Desirable
- Demonstrable experience with modern deep-learning frameworks (e.g., PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), or machine-learning libraries (e.g., scikit-learn, XGBoost).
- Experience with data storage for AI, including vector databases, semantic search, and knowledge graphs.
- Active contribution to open-source AI projects, research publications, and industry events/websites.
- Familiarity with AI security, privacy, and compliance standards (e.g., ISO42001).
- Experience in shaping commercial AI offerings, including winning AI work and providing pre-sales support.
Embracing Our Differences
At Kainos, we believe in the power of diversity, equity, and inclusion. We actively commit to building a team that is as diverse as the world we live in, where every individual is valued, respected, and given an equal chance to thrive. We welcome talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any characteristic that makes them unique.
Our friendly talent acquisition team is here to support you every step of the way. If you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone’s journey is different, and by having a private conversation, we can ensure our recruitment process is tailored to your needs.
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