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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Engineer (3 month contract) - **Company:** AND Digital - **Location:** Manchester, UK - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Microsoft Azure, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Machine Learning Operations - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815061302-aimachine-learning-engineer-3-month-contract ## About the Role * 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 ## 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. 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. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)