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Understanding Recruitment · London Area, United Kingdom

Machine Learning Engineer | Competitive Compensation | LLMs

seniorfull timePosted 8 days ago
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machine-learningllmgenerative-aiagentic-aia/b-testingpythonpytorchtransformersvector-databasesnlprag

Machine Learning Engineer – LLMs

Want 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 do

- Build and ship LLM-powered features and systems into production

- Design robust evaluation frameworks to measure and improve model performance

- Experiment with prompting, fine-tuning, retrieval and agentic approaches

- Build data and ML pipelines that support rapid experimentation at scale

- Optimise models and inference for latency, reliability and cost

- Work closely with software, product and domain experts to solve difficult real-world problems

- Help shape the company’s ML architecture, tooling and technical direction

You’ll ideally bring:

- Excellent Python and software engineering skills

- Strong experience with PyTorch and modern ML tooling

- Hands-on experience building applications with LLMs

- A strong understanding of transformers, embeddings and modern NLP

- Experience with LLM evaluation, fine-tuning, RAG and/or agentic systems

- Experience taking ML models from experimentation through to production

- Strong judgement around model quality, data, performance and trade-offs

What’s on offer

- Competitive salary + equity

- 7% pension

- Private healthcare

- Free daily meals

- Significant technical ownership from day one

- The opportunity to build cutting-edge AI that gets deployed in the real world

You’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.

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