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

Nominate & Attend

Research Software Engineer

The University of Manchester
Manchester
5 months ago
Applications closed

Related Jobs

View all jobs

Research Software Engineering For Machine Learning

Research Software Engineering For Machine Learning

Senior Research Software Engineer & Data Scientist (INTERNAL)

AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London

AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London

AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London

About IT Services

IT Services at the University of Manchester is a vibrant and fast-moving department, we focus on delivering excellent customer service and quality services for our staff, students and researchers.

The Team

The division of Research IT provides research-focussed, specialist computing infrastructure, software engineering, data science, application support and training to researchers across a wide range of domains, who have diverse technical requirements. The Research Software Engineering department within Research IT is responsible for providing a range of software engineering services including engineering, consultancy and training. Research IT is a friendly, open, inclusive and diverse group of skilled people with a passion for helping others and delivering world-class research. You can find out more about life in the department by reading ourblog post.

The Role

This role is aimed at undergraduate science and engineering students already studying at degree-awarding institutions in the UK who are seeking a “Year in Industry” placement for 12-months as part of their programme.

This role is an exciting opportunity to spend 12 months working full-time in our thriving Research Software Engineering department within Research IT at The University of Manchester. As a trainee Research Software Engineer (RSE), you will work with several of our experienced RSEs on a range of real research projects, developing and delivering software applications and tools to academic research groups across our faculties and cultural institutions.

You will work on multiple projects, from weeks to months in duration, from conception to completion, getting to the heart of some of the world’s most important challenges and applying cutting-edge knowledge through software. This may involve gathering requirements, designing, building, testing, deploying, documenting and maintaining software in a wide range of domains. This role is designed to expose you to as much of our software engineering operation as possible and provide you with variety and opportunities to learn web development, AI/machine learning software development, and even writing software for GPUs or supercomputers.

The Person

The successful candidate should be able to demonstrate:

  • Currently in the second year of a relevant undergraduate degree at an accredited UK university.
  • Experience in software application development using a modern Object-Oriented Programming language such as Java, Python, or C#.
  • Strong organisational and communications skills and the ability to adapt to different audiences.
  • Strong problem-solving skills, with the ability to pick up and adapt to new concepts quickly.
  • Experience of a modern application development framework such as Spring (Java), Django (Python), .NET MAUI (C#).
  • Experience of software engineering tools and processes, such as version control, linting, testing, test-driven development, continuous integration.
  • Experience of developing software in a team environment.

What You Can Expect in Return

Our diverse job opportunities all include a top benefits package that includes many features that are hard to find in the private sector:

  • Generous annual leave allowance, including Christmas/New Year closure;
  • Pension scheme membership to provide benefits for you and your family;
  • Well-being programme with counselling, fitness and leading sports facilities;
  • Learning and development opportunities;
  • Season ticket loans for public transport;
  • Cycle to Work Scheme;
  • Workplace nursery scheme;
  • Staff recognition schemes;
  • Staff discounts on a range of products and services including travel and high street savings.

In fact, there are so many benefits available you can see more of them by clickingHERE

Find out more about our organisation and values:

When completing the additional information section of your application, please ensure you make reference to the job description and person specification above, as this will form an integral part of the shortlisting process.

As an equal-opportunity employer, we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out morehere

Blended working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries:

Please contact Dr Jia Wu

Email:

Application process and shortlisting of candidates for interview

The application process for this post contains a list of assessment questions. Applications will be shortlisted for interview based on answers given to the assessment questions, ahead of any further information given in the application, and how those answers reflect the candidate’s ability to demonstrate the skills and experience detailed in the ‘The Person’ specification above. Shortlisted candidates will be invited to an in-person interview day.

General enquiries:

Email:

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.


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.