
Senior ML Engineer – Document Automation for Global Transactions
- London
- £100,000-120,000 per year
- Permanent
- Full-time
| Fully Remote | London-based Scale-upThe Challenge
Imagine transforming a financial regulation process that currently takes days into one that takes just 3 minutes. Our client is revolutionising how complex documentation is processed for transactions worth hundreds of millions of dollars.What You'll Build
You'll be deploying production ML/NLP/LLM models that actually matter. No research for research's sake - this is about building systems that handle real money, real compliance requirements, and real business impact.Your technical focus:
- Document parsing, layout analysis, and key information extraction across a wide range of structured and unstructured formats
- Fine-tuning models for document classification, field extraction, and discrepancy detection
- Prompt engineering and LLM chaining to get optimal results from large language models
- Building automated ML pipelines from data prep through to serving
- Integrating ML components into production backend services with robust APIs
Core Requirements:
- 5+ years applied ML experience with NLP, GenAI, and document understanding
- Strong experience with transformer architectures, LLMs/SLMs, and prompt engineering
- Hands-on experience with modern OCR tooling and document layout modelling
- Cloud deployment experience (AWS/GCP/Azure)
- Production Python expertise (they're fully committed to Python)
- Docker development - essential
- API development and model serving experience
- Logistics or supply chain experience
- Information extraction in low-data/noisy conditions
- Anti-fraud or compliance document analysis
- EU time zone location
This isn't your typical ML role. You'll be working in a regulated environment where:
- Human-in-the-loop systems are mandatory for compliance
- Your code needs to be production-ready from day one
- Weekly deliverables are expected (this moves fast)
- You'll work with frameworks like LangChain, Semantic Kernel, and AutoGen
200+ person scale-up with leadership from Microsoft and Google, banking. The 10-person Data & AI team includes Data Scientists, ML Engineers, Data Engineers and analysts who actually ship working products.
Culture: High autonomy, fast-paced, “work hard, play hard” mentality. London office in Paddington with regular team gatherings, but you can work fully remote with optional office days.
What We're NOT Looking For
- PhD researchers focused on theoretical work
- Anyone who needs heavily structured environments
- Traditional ML approaches when modern LLM solutions exist
Simple and fast:
- 30-minute screening with the VP of Data and AI
- 60-minute technical discussion (code samples, no formal tests)
- HR chat
- Decision
You'll be part of the technical transition from legacy rules-based systems to AI-driven solutions in a sector that desperately needs modernisation. Real business impact, real technical challenges, real money.