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Applied AI Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Remote Worker LTD.
Full Time position
Listed on 2026-09-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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 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…

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