Senior Machine Learning Engineer – Remote - NLP / LLM

Senior Machine Learning Engineer – Fully Remote UK (London)

Location: Remote (UK-based preferred)

Salary: Up to £120,000 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 TODAY.