Machine Learning Engineer | Competitive Compensation | LLMs

Understanding Recruitment
Greater London, UK
11 days ago
Apply on www.understandingrecruitment.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Software Engineering Pytorch Large Language Models SC Clearance Machine Learning Operations

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.

Apply on www.understandingrecruitment.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels Werner Vogels +1 · World Congress 2026 Europe

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Applying supervised machine learning for practical rule extraction

Katja Träumner

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Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

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Introducing LLMs as judges for automated testing

Sebastian Messingfeld Sebastian Messingfeld · World Congress 2026 Europe

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Evolution of machine learning algorithms and computing hardware

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Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

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