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Principal ML & AI Engineer

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Dynamic Search Solutions

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Location:
United Kingdom

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Category:
IT - Software Development

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Salary:

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Job Description:

Our client is a specialist AI & Data consultancy delivering end-to-end solutions to FTSE 100 and large enterprise clients. They partner with organisations to take AI initiatives from proof of concept through to fully deployed, production-grade solutions, working across multiple sectors including financial services, healthcare, consumer goods, and technology. We are seeking an experienced ML & AI Engineer to join a high-performing consulting team delivering complex AI solutions for enterprise clients. The role is hands-on and delivery-focused, covering the full AI lifecycle, from early-stage discovery and PoC through to implementation, deployment, and live model ownership. This role suits someone with strong technical depth who is comfortable operating in a client-facing consulting environment.

Job Responsibility:

  • Lead end-to-end delivery of ML and AI solutions from PoC to production
  • Design, build, and deploy LLM and Generative AI solutions, including RAG pipelines and agentic workflows
  • Develop scalable ML pipelines, APIs, and services for enterprise use cases
  • Implement robust model testing, monitoring, and optimisation processes
  • Work closely with client stakeholders to translate business problems into technical solutions
  • Present findings, demos, and recommendations to technical and non-technical audiences
  • Contribute to solution design, scoping, and presales activity where required
  • Mentor junior team members and contribute to best practice across delivery teams

Requirements:

  • 7+ years’ experience in Data Science, ML Engineering, or AI roles
  • Proven experience delivering production ML systems, not just experimentation
  • Strong Python development skills
  • Hands-on experience with LLMs / Generative AI, including frameworks such as LangChain or similar
  • Experience building APIs and services using FastAPI / Flask / Streamlit
  • Experience working in a consultancy or client-facing delivery role
  • Strong understanding of ML model validation, testing, and deployment best practices

Additional Information:

Job Posted:
January 20, 2026

Work Type:
Remote work
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