We're working with a leading data and AI consultancy that helps organisations unlock greater value from their data through advanced analytics, machine learning, and artificial intelligence. As demand for AI-led transformation continues to grow, they are looking to appoint an AI Engineer to join their expanding team and play a key role in delivering innovative solutions for a diverse client base.

This is a hands on delivery role suited to someone with a strong Data Science, Machine Learning, or AI Engineering background who enjoys building practical, production-ready solutions.

You'll work across a variety of AI initiatives, from traditional machine learning and predictive analytics through to cutting edge Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI Agents.

Working alongside experienced AI leaders and architects, you'll take ownership of key project workstreams while gaining exposure to a wide range of technologies, industries, and real world business challenges.

• Design, develop, test, and deploy AI and machine learning solutions.
• Build LLM-powered applications, including prompting frameworks, RAG pipelines, and agent-based workflows.
• Deliver end to end data science activities including data preparation, feature engineering, model development, and evaluation.
• Translate technical designs into clean, scalable, production-quality Python code.
• Contribute to model testing, monitoring, and performance optimisation.
• Collaborate with architects, data scientists, engineers, and client stakeholders.
• Support and mentor junior team members and graduates.
• Share knowledge and help drive best practices across the wider AI community.

• Commercial experience in Data Science, Machine Learning, or AI Engineering.
• Strong Python development skills and experience with common AI/ML libraries.
• Hands on experience with Generative AI, Large Language Models (LLMs), and RAG architectures.
• Understanding of AI Agent frameworks and orchestration concepts.
• Experience building and deploying machine learning solutions.
• Strong problem-solving and communication skills.
• Ability to work effectively in collaborative, client facing environments.

• Exposure to cloud based AI services, particularly Azure.
• Knowledge of MLOps and/or LLMOps practices.
• Experience mentoring junior colleagues.
• Consultancy or professional services experience.

• Opportunity to work across a broad range of modern AI technologies.
• Exposure to high profile AI and data transformation programmes.
• Structured learning and development opportunities.
• Clear progression path into Senior AI and Lead Data Science roles.
• Private medical cover.
• Enhanced pension contribution.
• Life assurance.
• Employee wellbeing support.
• Flexible holiday options.
• Additional learning and certification support.

This role will involve regular travel to client sites across the UK, with occasional periods working on site for project delivery. Applicants must have the unrestricted right to work in the UK.