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Job Title: Senior Product OwnerLocation: 2 Full Days per Week in London OfficeRate: £725 - £750 per day (Inside IR35)We’re seeking an experienced Senior Product Owner to shape and lead the development of cutting-edge data and analytics products, enabling high-impact decision-making. This pivotal role involves translating complex business requirements into actionable technical tasks, overseeing the product backlog, and ensuring seamless alignment between business objectives and development deliverables.As the Senior Product Owner, you’ll manage the prioritisation and refinement of user stories within an Agile Scrum environment, focusing on one of the following product areas:Back-office revenue solutions (e.g., payments, data processing, integration)Front-end user interfaces (e.g., portals, CRM, mobility platforms)Transport-specific solutions (e.g., GIS, asset management, rostering)Data products (e.g., data warehousing, analytics)Key responsibilities include backlog maintenance, defining acceptance criteria, and ensuring clarity for the development team. You’ll also address any technical ambiguities with stakeholders, ensuring projects align with sponsor expectations and are delivered to a high standard.Key RequirementsIn-depth knowledge of business intelligence, data warehousing, data modeling, and big data.Proven experience in software development and delivery.Familiarity with government/public sector IT legislation (e.g., Data Protection Act, EU Procurement Directives).This is a unique opportunity for a highly skilled Product Owner to drive innovation and efficiency across essential data and technology products in a dynamic and supportive environment.If you're a suitable Senior Product Owner feel free to apply or send your C.V to (url removed)

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How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.