Machine Learning Engineer

NLP PEOPLE
Sheffield
2 weeks ago
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Machine Learning Engineer

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Machine Learning Engineer

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Machine Learning Engineer - Bristol

Senior Machine Learning Engineer (Generative AI / LLMs)

Location: Fully Remote (UK-based)


Salary: £75,000 – £100,000 (depending on experience)


The Role

We’re hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem.


You’ll be a senior, hands‑on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM‑powered products.


What You’ll Be Doing

  • Design, develop, and deploy advanced machine learning and deep learning models into production.
  • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine‑tuning, vector search, and low‑latency inference.
  • Build end‑to‑end LLM applications, leveraging RAG (Retrieval‑Augmented Generation), agentic workflows, and prompt engineering.
  • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety.
  • Develop and deploy autonomous or semi‑autonomous agents using modern agent frameworks and Google AI tooling.
  • Collaborate with product and engineering teams to translate complex business requirements into ML‑driven solutions.
  • Monitor, optimise, and continuously improve models in live production environments.
  • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure.
  • Stay current with emerging research, tools, and best practices across ML and Generative AI.

What We’re Looking For
Essential

  • 5+ years’ experience in machine learning engineering or applied AI roles.
  • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG‑based systems.
  • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI.
  • Experience with vector databases and retrieval‑based architectures.
  • Proven experience designing and operating large‑scale ML systems in production.
  • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms).
  • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git.
  • Strong understanding of deep learning, statistical modelling, and optimisation techniques.

Nice to Have

  • Experience with agentic design patterns (e.g. ReAct, Chain‑of‑Thought, tool use).
  • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens.
  • Experience fine‑tuning large models or working with reinforcement learning techniques.
  • Background in mathematics, statistics, or theoretical computer science.
  • Understanding of data governance, bias mitigation, or model interpretability.

Why Join

  • Work on real, production‑grade GenAI systems with clear business impact.
  • High autonomy and ownership in a senior, hands‑on engineering role.
  • Fully remote working with a collaborative, distributed team.
  • Opportunity to influence architecture and long‑term technical direction.
  • Competitive salary up to £100k, plus benefits.


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