Senior AI Engineer - Recommendation and Personalisation in London

Senior AI Engineer - Recommendation and Personalisation in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
9fin

At a Glance

  • Tasks: Design and build AI applications for financial workflows using cutting-edge technology.
  • Company: Join 9fin, a fast-growing AI platform transforming global debt markets.
  • Benefits: Competitive salary, equity, hybrid work, and generous holiday allowance.
  • Other info: Enjoy a dynamic environment with opportunities for professional growth and learning.
  • Why this job: Make a real impact by optimising user experiences with innovative AI solutions.
  • Qualifications: Experience in recommendation systems and strong Python skills required.

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 deciding what information each user should see, in what order, and at what moment. While experience with retrieval systems, knowledge graphs, and LLMs is valuable, the core challenge is learning from user behaviour, workflow context, and content signals to optimise discovery, prioritisation, and decision-making across feeds, alerts, search, and AI experiences.

About You: This role will be a great fit if you have:

  • Deep experience building recommendation systems across feeds, alerts, search, and workflow products.
  • Strong understanding of candidate generation, personalisation, ranking, and next-best-action systems.
  • Learning to Rank: Expertise with pointwise, pairwise, and listwise ranking approaches, including reranking, diversity, freshness, novelty, deduplication, and relevance optimisation.
  • User Modelling & Behavioural ML: Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session-based learning, sequence modelling, and balancing short-term versus long-term user interests.
  • Product Analytics & Telemetry: Strong understanding of behavioural instrumentation, including impression logging, clicks, dwell time, follows, saves, alert interactions, and event design that supports robust learning systems.
  • Experimentation & Evaluation: Experience designing and analysing A/B tests, defining success metrics, understanding selection bias, and evaluating ranking systems using both online and offline methodologies.
  • Feature Engineering & Applied Machine Learning: Strong background in feature engineering, tabular machine learning, calibrated scoring systems, and production use of models such as gradient-boosted trees, logistic regression, and related approaches.
  • Content-Aware Recommendation Systems: Experience combining embeddings, semantic similarity, collaborative signals, and content understanding to build recommendation systems that perform well in sparse and cold-start environments.
  • Graph & Entity-Aware Ranking: Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions.
  • Production ML Engineering: Experience building feature pipelines, online and batch inference systems, low-latency ranking services, experimentation platforms, and monitoring for production machine learning systems.
  • Strong proficiency in Python for production ready delivery.
  • 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
  • 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 recognise 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 - Recommendation and Personalisation 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, generous equity options, and a strong focus on professional development, we offer unparalleled growth opportunities in the rapidly evolving field of AI within the financial sector. Our hybrid working model and commitment to employee well-being, including extensive benefits and a supportive environment, make 9fin a truly rewarding place to build your career.

9fin

Contact Details:

9fin Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer - Recommendation and Personalisation 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 and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your experience with AI and recommendation systems, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.

Tip Number 3

Prepare for technical challenges! Brush up on your knowledge of machine learning and AI concepts, especially around user modelling and ranking systems. Being ready to tackle these topics will show you're serious about the role.

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 joining the 9fin team.

We think you need these skills to ace Senior AI Engineer - Recommendation and Personalisation in London

Recommendation Systems
User Modelling
Behavioural Machine Learning
Learning to Rank
Feature Engineering
Applied Machine Learning
Content-Aware Recommendation Systems

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with recommendation systems and AI technologies. We want to see how your skills align with what we're doing at 9fin!

Showcase Your Projects:Include specific examples of projects you've worked on that relate to user modelling, behavioural ML, or any relevant AI applications. This helps us understand your hands-on experience and problem-solving abilities.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role you’re excited about!

How to prepare for a job interview at 9fin

Know Your AI Stuff

Make sure you brush up on your knowledge of recommendation systems, user modelling, and machine learning techniques. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios.

Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled complex problems in previous roles. Use specific examples that highlight your ability to translate user behaviour into actionable insights and solutions.

Get Familiar with 9fin's Products

Take some time to understand what 9fin does and how their platform operates. Being able to discuss how your skills can directly contribute to their mission will show your genuine interest in the role.

Ask Smart Questions

Prepare thoughtful questions that demonstrate your understanding of the industry and the challenges 9fin faces. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.