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 deployproduction-grade AI systems, with a particular focus on LLMs and modern generative AI.
This isn’t a research-only role. You’ll work acrossmodels, data, evaluation and production systems– turning the latest advances in AI into reliable, high-impact products.
What you’ll do
- Build and shipLLM-powered features and systemsinto production
- Design robustevaluation frameworksto 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 forlatency, reliability and cost
- Work closely with software, product and domain experts to solve difficult real-world problems
- Help shape the company’sML architecture, tooling and technical direction
You’ll ideally bring:
- ExcellentPythonand software engineering skills
- Strong experience withPyTorchand modern ML tooling
- Hands-on experience building applications withLLMs
- A strong understanding oftransformers, embeddings and modern NLP
- Experience with LLM evaluation, fine-tuning, RAG and/or agentic systems
- Experience taking ML models fromexperimentation 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
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