Data / AI Engineer - #2181417

Change Digital – Digital & Tech Recruitment


Date: 2 hours ago
City: Edinburgh
Salary: £45,000 - £62,000 / year
Contract type: Full time
Change Digital – Digital & Tech Recruitment

This is an exciting opportunity to join a growing AI practice and work on cutting-edge projects spanning Data Engineering, Generative AI, LLMs, AI Agents, Machine Learning, and Data Science. The role offers genuine responsibility, exposure to client-facing delivery, and a clear pathway to leadership.


Its hybrid working with your base office being Edinburgh, London, Manchester, Leeds or Birmingham.


The Role

You will be an experienced Data Engineer who will play a key role in delivering AI-powered solutions across a variety of client projects. You'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and traditional machine learning techniques to solve real-world business challenges.


What You'll Be Doing

  • Data Engineering with modern data platforms
  • Building, testing, and deploying AI and Machine Learning solutions
  • Developing GenAI applications using LLMs, RAG architectures, and agentic workflows
  • Delivering end-to-end data science activities including feature engineering, model training, and evaluation
  • Writing clean, maintainable, production-focused Python code
  • Supporting model evaluation, monitoring, and optimisation
  • Collaborating with clients and project teams to deliver tangible business outcomes


What We're Looking For

Essential

  • 2-5years experience in Data Engineering
  • Strong Python and SQL development experience
  • Understanding of machine learning and data science fundamentals
  • Exposure to Generative AI, LLMs, Prompt Engineering, and RAG
  • Understanding of AI Agent frameworks and orchestration approaches
  • Excellent communication and stakeholder engagement skills
  • Collaborative mindset with a passion for learning and innovation


Desirable

  • Experience with Azure AI services and cloud-based AI platforms
  • Exposure to MLOps and LLMOps practices
  • Consulting or client-facing delivery experience


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