AND Digital

AI/Machine Learning Engineer – 3 Month Contract

AND Digital

contract

Posted on:

Location Type: Hybrid

Location: ManchesterUnited Kingdom

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Tech Stack

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI engineeringML engineeringRAG architecturesprompt engineeringmodel evaluationperformance tuningperformance optimisationbenchmarkingAzure AI servicesLLM-based applications
Soft Skills
collaborationindependenceadaptabilitycommunication