Machine Learning Engineer | Competitive Compensation | LLMs
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Role details
Tech stack
Job description
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.
Requirements
- 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
Benefits & conditions
- 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
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