Applied AI Manager

Applied AI Manager

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and delivery of AI systems, mentoring engineers and driving innovation.
  • Company: Join 9fin, a fast-growing tech company revolutionising debt capital markets.
  • Benefits: Competitive salary, equity options, hybrid work, and generous holiday allowance.
  • Why this job: Make a real impact in AI while working with top investment banks and asset managers.
  • Qualifications: Experience in leading teams, software engineering, and deploying AI systems.
  • Other info: Enjoy a collaborative culture with opportunities for professional growth and development.

The predicted salary is between 43200 - 72000 £ per year.

About 9fin

The world’s largest asset class, debt, operates with the worst data. Technology has revolutionised equity markets with electronic trading, quant algos and instantaneous news. However, in debt capital markets, the picture is completely different. It still behaves like it’s in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered. Our mission is to change this. 9fin’s proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make faster, more informed decisions, win more business and most importantly, save time. Our fast-growing list of clients includes 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds and Law Firms.

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 an Applied AI Manager 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:

  • Lead the design and delivery of complex ML and GenAI systems, ensuring solutions are robust, scalable, and aligned with business goals.
  • Guide the team in end-to-end model development - from experimentation and evaluation through deployment and monitoring - with a focus on reproducibility and reliability.
  • Drive architectural decisions for data-intensive, AI-driven applications, making informed trade-offs between cutting-edge approaches and practical production readiness.
  • Mentor and grow engineers across levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure.
  • Collaborate cross-functionally with stakeholders across the company to shape roadmaps, scope ambitious projects, and balance technical innovation with delivery.
  • Champion engineering excellence - from coding standards and CI/CD pipelines to observability and incident management - creating a culture of technical rigor and continuous improvement.
  • Be a visible technical leader within 9fin, pushing forward the adoption of AI/ML across teams and influencing company-wide strategy.

About You

This role will be a great fit if you:

  • Have proven experience leading engineering teams in a high-growth, fast-paced environment.
  • Care deeply about people development - mentoring engineers, conducting thoughtful performance reviews, and building inclusive, high-performing teams.
  • Combine strong software engineering skills (Python preferred) with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data/infra stacks.
  • Have hands-on experience building and deploying ML/GenAI systems in production, ideally in domains with high complexity (finance, legal, or similar data-heavy spaces).
  • Lead architectural discussions and technical trade-offs while staying close enough to dive into details when needed.
  • Know your way around cloud infrastructure (AWS preferred) and modern MLOps practices.
  • Thrive in a collaborative, startup-style environment: adaptable, decisive, and excited to work cross-functionally to deliver real business impact.

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
  • 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.

Applied AI Manager employer: 9fin

At 9fin, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our extensive professional development budget, mentorship opportunities, and a hybrid working model that promotes work-life balance. With competitive salaries, equity options, and a supportive environment, we empower our team to excel while making a meaningful impact in the fast-paced world of finance technology.
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Contact Detail:

9fin Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied AI Manager

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their products and how they use AI. This will help you tailor your answers and show that you're genuinely interested in joining the team at 9fin.

✨Tip Number 3

Practice your technical skills! Brush up on your Python and AI/ML frameworks. Be ready to discuss your past projects and how you've tackled challenges in building and deploying systems. Confidence in your abilities can really set you apart.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about wanting to be part of the 9fin family. Let’s make it happen!

We think you need these skills to ace Applied AI Manager

Machine Learning (ML)
Generative AI (GenAI)
Natural Language Processing (NLP)
Computer Vision
Data Mining
Software Engineering (Python preferred)
Cloud Infrastructure (AWS preferred)
MLOps Practices
Architectural Design
Team Leadership
Mentoring and People Development
Cross-Functional Collaboration
Technical Rigor
Continuous Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Applied AI Manager role. Highlight your leadership in engineering teams and any hands-on experience with ML/GenAI systems.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for 9fin. Share specific examples of projects you've led or contributed to that showcase your expertise.

Showcase Your Technical Skills: Don’t forget to mention your software engineering skills, especially in Python, and your familiarity with cloud infrastructure like AWS. We want to see how you can drive architectural decisions and technical trade-offs.

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 AI Stuff

Make sure you brush up on your knowledge of AI/ML frameworks and GenAI tooling. Be ready to discuss specific projects you've worked on, especially those involving complex systems in finance or legal sectors. This will show that you can hit the ground running!

✨Showcase Your Leadership Skills

Since this role involves mentoring and leading teams, prepare examples of how you've developed engineers in the past. Talk about performance reviews, team dynamics, and how you foster an inclusive environment. This will highlight your people skills and leadership style.

✨Understand the Business Goals

Familiarise yourself with 9fin's mission and how AI can transform debt capital markets. Be prepared to discuss how you would align AI solutions with business objectives. This shows that you’re not just technically savvy but also business-minded.

✨Be Ready for Technical Discussions

Expect to dive deep into architectural decisions and technical trade-offs during the interview. Brush up on cloud infrastructure, MLOps practices, and be ready to discuss your thought process behind previous projects. This will demonstrate your technical expertise and problem-solving abilities.

Applied AI Manager
9fin
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  • Applied AI Manager

    Full-Time
    43200 - 72000 £ / year (est.)
  • 9

    9fin

    50-100
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