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

Nominate & Attend

Research Associate in AI and Data Science (Fixed term for 2 years)

Liverpool John Moores University
Liverpool
1 week ago
Create job alert

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff—past, present, and future—are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city to which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today.


We are now looking for a Research Associate in Artificial Intelligence and Data Science for a fixed term of 2 years to join our newly created Artificial Intelligence and Digital Innovation Research Institute. The new Institute is the result of merging the LJMU Data Science Research Centre (DSRC) and the Research Centre for Critical Infrastructure Computer Technology and Protection (PROTECT). Established in 2011, PROTECT conducts cutting-edge research into critical infrastructure computer technologies and their protection. The DSRC is an internationally recognised centre of excellence in data science, AI, and applied mathematics. With over 20 years of expertise, the DSRC has led or co-led numerous UK and EU-funded projects, advancing the field particularly in explainable AI, causal AI, and data visualisation modelling.


This Research Associate position will support the delivery of current research programmes in AI and data science across both centres and will also contribute to the preparation of external funding applications.


We are seeking a highly motivated researcher with a PhD (or near PhD completion) in AI or a related discipline, with a demonstrable track record in conducting AI-based research.


In return, we offer an excellent benefits package, including generous annual leave entitlement, a pension scheme, induction and development support, as well as family-friendly policies.


This is an exciting time to join the University as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures by placing students at the heart of everything we do. Find out more about working at LJMU here.


If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you.


Informal enquiries can be made to Professor Ivan Olier at


The School/Department is committed to promoting equality and diversity, including the Athena SWAN Gender Equality Charter for promoting the careers of women in STEM (science, technology, engineering, and mathematics) in higher education. We particularly welcome applications from women for this post, and all appointments will be made on merit.


Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.


LJMU are committed to adhering to the Principles set out in the Researcher Development Concordat; in line with this all fixed-term researchers will be supported to complete 10 days professional development activities per year (pro-rata). 

Related Jobs

View all jobs

Data Scientist

Data Science Faculty of Data-Driven AI in Special Education (Tenure Track/Tenured)

Applied AI ML - Senior Associate - Machine Learning Engineer

Associate Director, Data Science & AI Initiative

Senior Associate AI Researcher - Natural Language Processing

AI & Data Science Engineer – KTP Associate

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 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.