Description We are recruiting for a Contract AI/ML Engineer to join us ASAP for a duration of three months. Ideally based in a commutable distance to Manchester. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritized by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,500 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap. What you’ll bring to the table: About You: As a Machine Learning Engineer in a club of over 90 people, you will spend the majority of your time helping deliver client machine learning opportunities and working with seniors and leads to bring about AND’s machine learning vision. We are seeking an experienced AI/ML Engineer to support the rapid development of a Proof of Concept (POC) for an AI-powered research assistant. The goal is to build a trusted solution that is robust, scalable, and ready for further production development. Key Responsibilities: Design and implement model evaluation frameworks to assess performance and reliability Configure and optimise Retrieval-Augmented Generation (RAG) pipelines Develop and refine prompts to improve accuracy, consistency, and usability Conduct performance tuning across models and pipelines (latency, cost, quality) Collaborate with stakeholders to translate research and product needs into technical solutions Ensure outputs meet trust, safety, and quality expectations Requirements: Proven experience in AI/ML engineering, ideally with LLM-based applications Strong hands-on experience with RAG architectures and prompt engineering Experience evaluating and benchmarking model performance Familiarity with performance optimisation techniques for ML systems Experience working with Azure AI services (preferably Azure AI Foundry) Ability to work independently in a fast-paced, experimental environment Tech Stack: Azure AI Foundry Large Language Models (LLMs) RAG pipelines and vector databases Python and relevant ML frameworks Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.