Hybrid Machine Learning and AI Engineer

Posted 5 days ago

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About the role

  • ML and AI Engineer creating Generative AI solutions for public sector and enterprise clients. Collaborating with teams to innovate and implement cloud-based AI technologies.

Responsibilities

  • Fine-tune, deploy, and monitor Generative AI models and Agentic AI for enterprise use cases
  • Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering strategies
  • Integrate Agentic AI into business workflows to accelerate solution delivery
  • Collaborate with data engineers to bring Agentic capabilities to production
  • Stay current with AI trends, tools, and best practices, and drive innovation within the team

Requirements

  • 3+ years of experience in ML/AI, with a recent focus on Gen AI and LLMs
  • Experience with GenAI frameworks (e.g., Hugging Face, LangChain, Agentic)
  • Proficient in context engineering, RAG, and LLMOps
  • Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry)
  • Strong understanding of responsible AI and model safety
  • Have experience in Computer Vision for Optical Character Recognition (OCR), and object recognition

Benefits

  • A collaborative and supportive environment in which you can grow and develop your career
  • The tools and opportunity to do work you can be proud of
  • A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
  • Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
  • Industry leading coaching and mentoring
  • Competitive salary and an excellent benefits package

Job title

Machine Learning and AI Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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