National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Owner

Inspire People
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Staff Machine Learning Engineer (London)

Machine Learning Engineer (W/M/D)

PLM Data Architect

Junior/Mid/Senior Data Scientist - Hybrid, London

Are you an experienced Senior Product Owner with a passion for data science and machine learning? This contract role offers a unique chance to make a significant impact on a high-profile public sector transportation and payment project. The position involves reviewing and improving an existing Data Science model, refining proposed architecture, and documenting CI/CD processes for machine learning models. This is a 2 year contract at circa £600 to £630 a day (Inside IR35). Hybrid working from London office and is a well funded public sector programme


The successful candidate will build and manage a backlog of activities, lead a development team to build out the solution, and ensure the model is fully tested and operational by the expected date. The role involves a comprehensive review of existing data science models, proposing architectural improvements, and documenting CI/CD processes for machine learning models.


The ability to balance competing tasks and demands, ensuring a consistent flow of requirements for development teams, is essential. Effective communication skills are crucial, as the role requires translating complex technical concepts for non-technical stakeholders, defining and prioritising features, and collecting story requirements and acceptance criteria.


Strong stakeholder management skills are necessary, with the ability to engage and nurture multiple teams and stakeholders, providing prioritisation and efficient responses to avoid delays in delivery.


The ideal candidate will be adept at managing conflicts, negotiating scope and prioritisation, and collaborating with technical roles to identify and solve problems. Risk management skills are essential, with the ability to identify product-related risks, propose mitigations, and manage these decisions effectively.


A minimum of three years of Senior Product Owner experience on projects of similar size and scale is required, along with technical experience in implementing data and analytics systems using the Azure tech stack.


Excellent organisational skills are also a must, ensuring features and stories are prepared and streamed to optimise delivery flow.


This role offers the chance to work on a transformative project, leveraging your expertise to drive significant advancements in data science and machine learning.

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.