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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