At a Glance
- Tasks: Design and build AI applications for complex financial and legal workflows.
- Company: Join 9fin, the leading AI platform transforming global debt markets.
- Benefits: Competitive salary, equity, hybrid work, and generous holiday allowance.
- Other info: Dynamic startup culture with ample growth opportunities and a focus on inclusivity.
- Why this job: Make a real impact by revolutionising how legal documents are processed with AI.
- Qualifications: Experience with legal documents, NLP, and production ML engineering.
The predicted salary is between 80000 - 100000 £ per year.
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.
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.
- 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). We are data centric and love our evals!
- You have a 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.
Benefits: We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
- Competitive Salary (our salary bands are benchmarked at the top end of the market)
- Equity
- Pension (your minimum contributions are 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
- Time off 25 holiday days per year
- Local public holidays (with the ability to exchange them for alternative days)
- Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
- 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
Training & Culture: 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.
9fin is an equal opportunities employer. At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.
Senior AI Engineer - Legal AI in London employer: 9fin
At 9fin, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every team member is empowered to excel. With competitive salaries, equity options, and a strong focus on professional development, we offer unparalleled growth opportunities in the rapidly evolving field of AI within the legal and financial sectors. Our hybrid working model and generous benefits, including a paid sabbatical after five years, ensure that our employees can achieve a healthy work-life balance while contributing to groundbreaking advancements in debt markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Legal AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at 9fin. A friendly chat can open doors that a CV just can't. Use LinkedIn to connect and engage with their posts.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that demonstrate your expertise in AI and legal document processing, make sure to share them during interviews. It’s all about showcasing what you can bring to the table.
✨Tip Number 3
Prepare for the technical grill! Brush up on your knowledge of LLMs and document extraction techniques. Be ready to discuss how you’d tackle real-world problems at 9fin. They want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the 9fin team.
We think you need these skills to ace Senior AI Engineer - Legal AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior AI Engineer. Highlight your experience with legal and financial documents, and showcase any relevant projects that demonstrate your skills in AI and machine learning.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in the legal and financial sectors. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our mission at 9fin.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any experience with AWS’s AI infrastructure. We want to see how you’ve applied these skills in real-world scenarios, especially in model development and deployment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at 9fin!
How to prepare for a job interview at 9fin
✨Know Your Legal Documents
Make sure you brush up on your knowledge of complex legal and financial documents. Be prepared to discuss your experience with bond offering memoranda, credit agreements, and other relevant documentation. This will show that you understand the core challenges of the role.
✨Showcase Your AI Skills
Be ready to talk about your experience with LLMs and how you've applied them to extract structured data from complex documents. Highlight specific projects where you've successfully implemented AI solutions, as this will demonstrate your technical expertise and problem-solving abilities.
✨Prepare for Technical Questions
Expect questions about the end-to-end model development lifecycle and production ML engineering. Brush up on your Python skills and be ready to discuss how you've built and operated extraction pipelines or evaluation systems in previous roles.
✨Demonstrate Collaboration Skills
Since this role involves cross-functional collaboration, think of examples where you've worked with diverse teams. Be prepared to share how you’ve elevated or mentored teammates, as well as how you’ve translated complex problems into actionable solutions in a fast-paced environment.
