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9fin

AI Engineer

  • Hybrid
  • 3-6 years

Salary

Not stated

AI summary

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Description

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 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.

Requirements

  • This role will be a great fit if you:
  • Strong proficiency in Python for production ready delivery.
  • You’re an expert in any of the following areas - deep expertise in one and familiarity with others is ideal:
  • Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers.
  • Entity/relationship extraction/resolution
  • Knowledge Graphs; building and inference, graphRAG
  • Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.
  • Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)
  • Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.
  • Deep understanding of the GenAI landscape and agentic frameworks.
  • 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.
  • Financial & Insurance
  • Competitive Salary (our salary bands are benchmarked at the top end of the market)
  • 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.

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

9fin

  • Industry: FinTech

Office in London, United Kingdom

Also hiring in New York, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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13 checks

1 red flag

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1 red flag

Fits Me

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • LLMs
  • NLP
  • Computer vision
Type
Full-time
Equity
Equity offered
Industry
FinTech
Specialty
ML
Region
United Kingdom
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
5+ years
Tech stack
  • Python
  • AWS
  • LLMs
  • NLP
  • Computer vision

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
FinTech

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