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Senior machine learning engineer – remote - nlp / llm

London
Permanent
Machine learning engineer
£100,000 - £120,000 a year
Posted: 19 August
Offer description

Senior Machine Learning Engineer – Remote - NLP / LLM Location: Remote (UK-based preferred) Salary: Up to £130,000 base stock options Type: Permanent | Full-Time Start Date: September 2025 ideally Join a high-growth, AI-first scale-up transforming one of the world’s most document-intensive sectors. Backed by recent multi-million-pound funding and led by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact. We’re looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You’ll work with high-value, sensitive data and play a key role in the automation of complex document workflows that support global commerce. What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and compliance teams to deliver real-world results What We’re Looking For • 5 years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience in fintech, legal tech, insurance or regulated environments • Understanding of document-heavy workflows • Ability to take ownership and work autonomously in a fast-paced environment Why Join Us • High-growth company • Fully remote with London meetups and meals out for those who enjoy meeting in person • Team of top-tier talent, passionate about doing things properly • Opportunity to shape both the tech stack and the future of the platform • Culture of ownership, collaboration and continuous learning If you're a strong ML engineer who thrives in real-world problem solving, please APPLY NOW

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