Senior AI Engineer
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.
Job Profile Description
As a Senior AI Engineer at Kainos, you will deliver 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.
Your role will involve hands‑on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout.
As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence.
Minimum (essential) Requirements
* A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field.
* Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval‑augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection).
* Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).
* Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.
* Expertise in data engineering for AI: handling large‑scale, unstructured, and multimodal data.
* Understanding of responsible AI principles, model interpretability, and ethical considerations.
* Strong interpersonal skills and team working.
Desirable
* Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine‑tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit‑learn, XGBoost).
* Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.
* Contributions to open‑source AI projects or research publications.
* Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.
Embracing our differences
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are.
Our friendly talent acquisition team is here to support you every step of the way, so 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 that our recruitment process is tailored to your needs.
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