100,000 - 160,000London AreaMachine Learning Engineer – LLMsWant to build LLM-powered systems that have to work reliably in the real world?
We're looking for an exceptional Machine Learning Engineer to help build and deploy production-grade AI systems, with a particular focus on LLMs and modern generative AI.This isn't a research-only role. You'll work across models, data, evaluation and production systems - turning the latest advances in AI into reliable, high-impact products.
What you'll doBuild and ship LLM-powered features and systems into productionDesign robust evaluation frameworks to measure and improve model performanceExperiment with prompting, fine-tuning, retrieval and agentic approachesBuild data and ML pipelines that support rapid experimentation at scaleOptimise models and inference for latency, reliability and costWork closely with software, product and domain experts to solve difficult real-world problemsHelp shape the company's ML architecture, tooling and technical directionYou'll ideally bring: Excellent Python and software engineering skillsStrong experience with PyTorch and modern ML toolingHands-on experience building applications with LLMsA strong understanding of transformers, embeddings and modern NLPExperience with LLM evaluation, fine-tuning, RAG and/or agentic systemsExperience taking ML models from experimentation through to productionStrong judgement around model quality, data, performance and trade-offsWhat's on offerCompetitive salary + equity7% pensionPrivate healthcareFree daily mealsSignificant technical ownership from day oneThe opportunity to build cutting-edge AI that gets deployed in the real worldYou'll need the right to work in the UK and be eligible for UK SC clearance. This is an office-first role, with flexibility when needed.
Machine Learning Engineer | Competitive Compensation | LLMs in London employer: Understanding Recruitment
As a leading GreenTech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and sustainability. Our employees enjoy a competitive benefits package, flexible working arrangements, and ample opportunities for professional growth, all while contributing to impactful clean energy projects that make a difference in the world.
