Technical Product Owner

EMIS
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Product Manager

Data Engineering Lead - Finance and Master

Senior Data Developer

Senior Data Engineer

Data Analyst

Machine Learning and AI Engineering Lead

Here at EMIS, we are looking for a technical and data-drivenProduct Ownerto join our growing EMIS-X product team on a day-rate contract until the end of December 2025.


You will be joining a team which possesses great knowledge and skills. However, we are a company who embrace new ideas and innovative solutions which can create efficiencies to ensure we continue to deliver value through delivering better care using technology innovation.


This is an exciting time to join us as a business as we continue to grow. You will play a significant part in delivering the entire product lifecycle of our EMIS-X capabilities and shaping the next evolutionary stage in big data health analytics. We will be looking for you to have experience in the Research & Life Sciences industry with excellent technical requirement gathering for user stories.


If you want to join a company where you can grow, build on your expertise and really make a difference to the healthcare industry, then we are for you!


Please note this isinside IR35 contract until the end of December 2025and whilst this is a remote working role, you will meet with our wider product team on a monthly basis.



What you’ll do


As a Technical Product Owner you will play a significant part in ensuring that we deliver a successful set of data products and services which support Health Analytics use cases on our EMIS-X Analytics platform.


This is a fantastic opportunity to join a dynamic team that is driving and delivering the success of data-driven health technology products. Working remotely, you will be responsible for owning and maintaining the data-related product backlog, plus developing user stories and prioritising requirements for the development team.



Other key responsibilities and accountabilities will include;

  • Own and manage the product backlog.
  • Collaborate with stakeholders including data analysts and the wider product and development teams to gather data requirements.
  • Defining clear acceptance criteria for data-related user stories and tasks, providing the data team with a comprehensive understanding of success criteria.
  • Participate in sprint planning meetings with the development team providing input on the prioritization of user stories and technical tasks.
  • Work closely with the development team to address technical issues and challenges.



Who you’ll be


We need you to be an experienced Product Owner with an understanding of relevant data technologies such as SQL, business intelligence tools and data analysis. You will be inquisitive, understanding the needs of our customers and internal stakeholders to deliver the product roadmap to the market and the wider business.


Having worked in an agile environment previously, you will have a proven record of strategic backlog planning and management of software-related products. Collaboration is essential; you will be able to demonstrate previous experience of engaging with technologists and breaking down complex development tasks into manageable deliverables to meet sprint targets.


Other professional and technical skills we are looking for you to demonstrate include;


  • Previous experience and passion for data-related product delivery
  • Familiarity with agile development methodologies (eg, SAFe)
  • An awareness/understanding of technologies such as SQL and AWS
  • Strong collaborator with internal and external stakeholders – exposure to working with customers to drive product development
  • Excellent technical problem solving
  • Experience within health care



If you want to be part of something wonderful, then apply today and find out why EMIS is the place to be!


Our Vision and Your Impact



Our vision is to be the leading provider of innovative healthcare technology that ultimately improves people’s lives. Are you interested in becoming part of that vision?


Working with our customers, we are leading the way in the delivery of patient centred, connected, digitally enabled health and care services. Our customers and partners are using our solutions in all health and care settings, from GP surgeries and community care to high street pharmacies, hospitals, clinics, not for profit organisations and specialist services. Ranked in the top five HealthTech organisations in the UK, we are committed to developing the next generation of healthcare technology that will truly make a difference.


Equality, Diversity, and Inclusion


At EMIS, we are committed to providing an inclusive, equitable culture where people feel able to bring their whole selves to work and to reach their full potential. This is a foundation stone of EMIS, anchoring the employee cycle from recruitment through to ongoing personal development and genuine, continuous two-way employee engagement, supported by our company values which determine everything we do.


EMIS is an equal opportunities employer, and we welcome applications from all suitably qualified candidates regardless of race, colour, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, protected veteran status, or other characteristics protected by applicable law. We will always work to accommodate individual needs during your application journey. If you require any adjustments, please advise the talent team.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.