Machine Learning Engineer
8 days ago
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.