Lead AI Product Manager

Norton Blake

London

5 months ago

Applications closed

Related Jobs

View all jobs

Product Manager - Data Science Integrations

Lead Machine Learning Scientist, Personalisation

Lead Data Engineer

Lead Machine Learning Engineer

Senior Data Scientist (AI & ML)

Machine Learning Manager

Lead AI Product Manager, London/Hybrid, FTC, £100,000 - £110,000 per annum

My client, a leading Fin-Tech company are currently looking for a Lead AI Product Manager on a FTC basis to shape and deliver the clients product to become a market leading cloud-based platform, finding innovative solutions to address client problems.

Main duties

Working with clients and their team members to define, shape and solve problems via the product.
Working with the Chief Product Officer, you will define and track quarterly objectives, own your ongoing product roadmap and any related metrics or key results.
Working with designers, engineers and data scientists to explore, test and document solutions to these problems.
Coordinating and coaching cross functional squads to discover solutions to problems and deliver OKRs.
Collaborate with Intelligence & Analytics, Engineering and Client teams to embed product releases for maximum impact and value.
Working with our QA engineers, you will define repeatable and automated tests for all proposed solutions, so that we deliver performant and high-quality releases.
Line management and development of one Junior Product Manager in line with business goals and career progression aspirations.

Requirements

Experience as a senior or lead Product Manager, ideally within a scaling fintech or relevant organisation, leading multiple cross functional squads of engineers, designers, and data scientists.
Operating in a complex technology and data environment, with a good understanding of data engineering, data science and artificial intelligence.
A clear track record of solving the hard problems by bringing cross functional teams together and inspiring your team in the process.
Experience of delivering impactful products in an agile manner.
Setting up, managing, and getting the best out of Jira, Confluence and Product Analytics tools.
You can communicate clearly and effectively to challenging audiences, including to clients and engineers.
Experience communicating complex technology solutions in simple terms to non-technical users or stakeholders.
Technical requirement definition in a complex B2B environment.

APPLY NOW!

Unlhbi53aGVhdGxleS4yNDI5My4xMjI3MUBub3J0b25ibGFrZS5hcGxpdHJhay5jb20.gif

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Sep 11, 2025

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Sep 5, 2025

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Aug 31, 2025

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.