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

Apply Now

AI Product Manager

IRIS Software Group
Nottingham
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager, London

Staff Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Machine Learning Engineer

Principal Data Scientist I - Agentic Systems

Our UK Product Team is hiring and we have an exciting opportunity for an AI Product Manager to join us!


The AI Product Manager will be responsible for owning and developing the AI product strategy across our business. This position will oversee all existing customer-facing AI features and identify opportunities to deploy AI features that make the lives of our customers easier or add value to our revenue.


The AI Product Manager will collaborate with cross-functional teams including engineering and data science to design and develop AI features. They will take ownership to ensure technical delivery meets business needs while also updating and regularly communicating with internal stakeholders.


You will be responsible for the commercial prioritisation of your backlog, as well as creating business cases for larger initiatives. To be successful, you must have experience working directly with AI solutions and have a strong understanding of AI tools, as well as closely collaborating with technical resources while solutions are in motion.


This role requires a background in product management, including AI, 3rd party relationship management, and compliance/governance experience. The ability to collaborate within a wider product team to ensure AI solutions feed into the development roadmap is essential.


What you'll be doing


  • Take ownership of the AI product strategy across the business
  • Development of business cases and crafting AI Product Vision and Strategy
  • Oversee and evaluate existing customer-facing AI features.
  • Define and prioritise new AI feature development opportunities that align with the business strategy
  • Communicate the AI product roadmap and feature development progress to internal stakeholders


What we are seeking


  • The ideal candidate should have a clear passion for AI and be highly analytical, detail-oriented, and customer-focused with experience in product management in AI or technical field.
  • The candidate should be able to communicate ideas and technical concepts in a straightforward manner and be able to collaborate effectively with cross-functional teams to achieve company goals.
  • Proven experience as a Product Manager, ideally within the AI, machine learning, or data science space.
  • Strong understanding of AI technologies and their application in real-world products.
  • Excellent communication and collaboration skills, with the ability to work across teams and influence key stakeholders.
  • Ability to manage multiple priorities and deliver high-quality products on time.
  • Strong analytical and problem-solving abilities.
  • Experience with agile product development methodologies.
  • A passion for innovation and a deep interest in AI and emerging technologies.


Desirable:

  • Experience in a fast-paced environment.
  • Knowledge of AI ethics and responsible AI practices.
  • Familiarity with data science and machine learning frameworks.
  • Experience with UX/UI design for AI-based products.


How to Apply:

If you are excited about the potential of AI and want to be part of a forward-thinking team, we would love to hear from you.

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

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.