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9fin

Senior AI Engineer - Legal AI

LondonUnited Kingdom
Senior · FullTime · Data & AI
POSTED 5 JUNVERIFIED 33M AGO
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Role
159 days opentrue age
Posted 5 Jun
Pay
£90k–£126kno pay posted
Market p25–p75
£90k–£126k
London · n=9 · 365d to 10 Nov
Company9fin →
35open roles
Opened · 30d
+2
Closed · 30d
−4
11d of snapshots · 30d window
Market
1,515open · Senior ML / AI
Opened · 7d
+1238% of open
All ml / ai
6,681open
All tracked boards · live 11 Nov · n=1,515
Visa
1H-1B LCAs · FY26
UK licensed sponsor
✓Worker (A rating)
LCAs FY26 · n=1 · to 2026-05-20
LLMs

About 9fin

9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.

Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.

Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.

We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.

The Opportunity

The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!

Every day is different, but here's an example of the kind of things you'll work on

Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.

Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.

Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.

Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.

Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.

Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin.

What Makes This Role Different

This role is focused on converting complex financial and legal documents into structured, reliable data. While experience with chatbots, retrieval systems, and general-purpose AI applications is valuable, the core challenge is building systems that can accurately understand legal documentation and extract the information that powers financial analysis and workflow automation.

About You

This role will be a great fit if you:

Legal Document Intelligence: Deep experience working with complex legal and financial documents, including bond offering memoranda, credit agreements, indentures, court filings, and related transaction documentation.

Information Extraction: Expertise in extracting structured data from long, complex documents, including financial terms, covenant provisions, definitions, parties, dates, thresholds, baskets, ratios, and transaction mechanics.

Document Understanding & NLP: Strong understanding of document structure, section hierarchy, cross-references, defined terms, tables, exhibits, and other patterns common in legal and financial documentation.

LLMs for Structured Extraction: Experience applying LLMs to high-precision extraction tasks, including schema-driven extraction, citation grounding, validation, and confidence scoring.

Data Quality & Validation Systems: Ability to design review, verification, and reconciliation workflows that ensure extracted data is accurate, consistent, and auditable.

Training Data & Annotation: Experience building labelled datasets, annotation frameworks, synthetic data generation, and evaluation sets for document extraction tasks.

Source · 9finFirst seen 2 NovOriginal ↗