Senior AI Engineer
At a glance
Senior AI Engineering role at Kainos. Birmingham · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Deliver production AI systems using machine learning, generative AI and agentic approaches
- Translate customer needs into trustworthy AI solutions and apply responsible practices throughout delivery
- Bring modern AI frameworks, AIOps practices and scalable cloud-native designs into engineering work
- Mentor colleagues and give junior developers direction as you tackle technical challenges together
What you bring
- At least an upper second-class degree in computer science, AI, data science, statistics or a similar quantitative field
- You have deployed AI or machine-learning systems, including prompt engineering, RAG, evaluation and metrics-based monitoring
- Strong Python skills and sound software engineering practices, including testing, CI/CD and code reviews
- You have built solutions at scale on Azure or AWS, using containers and orchestration such as Docker or Kubernetes
- You understand AI data engineering, responsible AI principles, model interpretability and ethical considerations
Who this fits
This senior, hands-on role suits an engineer who can make reasoned decisions, work with customers and mentor junior colleagues. The role is based in Birmingham, United Kingdom.
From the employer
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 Kainos as we further grow our AI capability.
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
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.
It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together.
MINIMUM (ESSENTIAL) REQUIREMENTS:
A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in 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. We also believe every candidate deserves a level playing field.
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.