At a Glance
- Tasks: Design and build cutting-edge AI applications for financial workflows.
- Company: Join 9fin, the innovative AI platform transforming global debt markets.
- Benefits: Competitive salary, equity, hybrid work, and generous holiday allowance.
- Other info: Enjoy professional development, team socials, and a supportive culture.
- Why this job: Make a real impact with AI in a fast-paced, dynamic environment.
- Qualifications: Experience with LLMs, fine-tuning, and financial domain modelling 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 improving the models themselves. While experience with retrieval systems, knowledge graphs, and AI applications is valuable, the core challenge is building proprietary financial-domain models that outperform general-purpose LLMs on the workflows that matter most to 9fin users.
About You
This role will be a great fit if you:
- Open-Weight LLMs: Deep experience evaluating, adapting, and deploying open-weight models such as Llama, Qwen, Mistral, and Gemma for production use cases.
- Fine-Tuning & Post-Training: Expertise in supervised fine-tuning, preference optimisation, instruction tuning, and domain adaptation to improve model performance on specialised tasks.
- Training Data & Synthetic Data Generation: Strong experience building high-quality datasets, generating synthetic training data, and creating data flywheels that continuously improve model quality.
- Model Evaluation: Ability to design rigorous benchmarks, evaluation frameworks, and regression testing systems that measure real-world model performance.
- Financial Domain Modelling: Experience applying AI to complex financial and legal domains, including credit, restructuring, debt instruments, filings, court documents, and capital markets workflows.
- Training Infrastructure: Familiarity with distributed training, parameter-efficient fine-tuning, GPU optimisation, inference acceleration, and cost-performance trade-offs.
- Model Optimisation: Experience with distillation, quantisation, and other techniques for improving model quality, latency, and operating costs.
- Production ML Engineering: Ability to build and operate training pipelines, deployment systems, evaluation infrastructure, and model monitoring in production environments.
- Strong proficiency in Python for production ready delivery.
- 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 - LLMs and Finetuning 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 financial sector. 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 global debt markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - LLMs and Finetuning 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 applications alone 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 highlight your experience with LLMs and fine-tuning, 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 Python skills and be ready to discuss your approach to model optimisation and evaluation. Practising common interview questions can help you feel more confident.
✨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 - LLMs and Finetuning 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 LLMs, fine-tuning, and any relevant projects that showcase your skills in the financial domain.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission at 9fin. Share specific examples of your work that demonstrate your expertise and enthusiasm for the role.
Showcase Your Projects:If you've worked on any interesting AI projects, especially those related to finance or legal workflows, make sure to include them. We love seeing practical applications of your skills!
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 Models Inside Out
Make sure you’re well-versed in the open-weight models mentioned in the job description, like Llama and Mistral. Be ready to discuss your experience with fine-tuning and how you've adapted these models for production use cases.
✨Showcase Your Financial Acumen
Since this role focuses on financial-domain models, brush up on your knowledge of credit, debt instruments, and capital markets. Prepare examples of how you've applied AI in these areas to demonstrate your expertise.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about model evaluation and optimisation techniques. Be ready to explain your approach to building high-quality datasets and how you ensure model performance in real-world scenarios.
✨Emphasise Collaboration and Leadership
This role involves cross-functional collaboration and mentoring. Think of instances where you've led a team or shared ideas that pushed projects forward. Highlight your ability to communicate complex concepts clearly to diverse teams.