Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead AI Product Manager

Norton Blake
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist (Tech Lead) - Generative AI & Partner Intelligence

Lead Data Engineer

Data Engineering Manager

Senior Machine Learning Engineer

Lead Data Analyst

Senior Product Data Scientist

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.