Senior AI Engineer - Legal AI

• 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 / 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.
• Retrieval & Context Engineering: Strong understanding of chunking, document segmentation, retrieval, and context construction for long-document reasoning and extraction workflows.
• Financial & Legal Domain Knowledge: Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts.
• Production ML Engineering: Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows.
• Strong proficiency in Python for production ready delivery.
• Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment).
• Strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.
• Good knowledge of AWS's AI infrastructure.

Data Science team

Team 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.

• Competitive Salary (salary bands benchmarked at the top end of the market)
• Equity
• Pension (minimum contributions 4% with 9fin matching up to 7%)
• Private Medical Insurance
• Paid sick leave with Income Protection for long periods of illness
• Group Life Assurance
• Season Ticket Loan & Cycle to Work schemes
• 25 holiday days per year
• Local public holidays (with the ability to exchange them for alternative days)
• Work abroad for up to 3 months a year
• 1 month paid sabbatical after 5 years of service
• Enhanced parental leave & flexible working arrangements available
• Professional learning and development budget
• AI experimentation budget of £800 (UK) per employee to trial AI tools
• Quarterly team socials
• Summer and Winter company social events