AI/Machine Learning Engineer (3 month contract)

Posted 14 Days Ago
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Manchester, Greater Manchester, England, GBR
In-Office
Mid level
Information Technology • Consulting
The Role
The AI/ML Engineer will design model evaluation frameworks, optimize RAG pipelines, and collaborate on developing a scalable AI-powered research assistant within a fast-paced environment.
Summary Generated by Built In

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.

Top Skills

Azure Ai Foundry
Large Language Models
Python
Rag Pipelines
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The Company
Edinburgh
1,348 Employees
Year Founded: 2014

What We Do

AND Digital is on a mission to close the world’s digital skills gap. We do that by doing things differently when we work with our clients, communities and colleagues. Instead of working FOR exciting brands (like British Airways, Heineken and Nike), we work WITH them, and that's not just a party line. We combine our people with our clients' people to form a single project team, so collaborative you can't tell our ANDis from our clients. By working together, we help our partners understand and map out the challenges they're trying to solve. Then, by building their digital products as one team, we teach them the same digital skills we have. That means when we leave, they can own their apps, websites and future projects independently. Pretty cool huh? We have cross-functional teams working across the UK, Netherlands and East Coast US - and growing by demand. Our unique, city-based Club model means we can offer the agility and personalised service of a small local company, with the security and clout of a global organisation

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