Senior ML Engineer – Document Automation for Global Transactions

Job title: Senior ML Engineer – Document Automation for Global Transactions

Company: Avanti Recruitment


Job description: Senior ML Engineer – Document Automation for Global Transactions
| 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

The Tech Stack
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

Bonus Points:

• Logistics or supply chain experience
• Information extraction in low-data/noisy conditions
• Anti-fraud or compliance document analysis
• EU time zone location

The Environment
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

The Company
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

The Process
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

Why This Role Matters
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.

Expected salary: £100000 – 120000 per year

Location: London

Job date: Wed, 06 Aug 2025 07:47:49 GMT

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