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
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