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- Tasks: Design and prototype innovative Machine Learning solutions for real-world applications.
- Company: Join a leading research team at the University of Warwick.
- Benefits: Flexible working options, competitive salary, and opportunities for publication.
- Why this job: Make an impact in cutting-edge research while developing user-friendly interfaces.
- Qualifications: Strong background in Machine Learning and Natural Language Processing, ideally at PhD level.
- Other info: Collaborative environment with potential for career advancement and research contributions.
The predicted salary is between 29606 - 38439 £ per year.
We are seeking a Research Software Engineer to work in the area of Machine Learning and Natural Language Processing to design, prototype and evaluate novel approaches for the analysis of REF Impact Case Studies and to engineer simple user interfaces that expose the models to non-technical users.
You will have a strong background in Machine Learning and Natural Language Processing, ideally at PhD level, with the ability to develop and deliver high-quality research and simple user interfaces, with the potential to publish high-quality work in the relevant research area.
Flexible Working
We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.
Informal Queries
For informal queries about the role, please contact Professor Theo Damoulas.
CLOSING DEADLINE
Wednesday 25th February 2026 at 11:55pm (UK Time).
Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages.
Salary: £35,608 to £46,049 per annum.
Research Software Engineer (111083-0226) in Coventry employer: University of Warwick
Contact Detail:
University of Warwick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer (111083-0226) in Coventry
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who work at the University of Warwick or have experience in Machine Learning and Natural Language Processing. A friendly chat can open doors and give you insights that might just help you stand out.
✨Tip Number 2
Show off your skills! If you've got projects or research that showcase your expertise in ML and NLP, make sure to highlight them during interviews. We want to see how you think and solve problems, so be ready to discuss your work in detail.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview questions related to software engineering and machine learning. Practising your responses will help you feel more confident and articulate when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to follow the process as outlined in the job description.
We think you need these skills to ace Research Software Engineer (111083-0226) in Coventry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Natural Language Processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch!
Showcase Your Research Skills: Since this role involves high-quality research, include any publications or significant projects you've worked on. We’re keen to see how you can contribute to our innovative environment!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at University of Warwick
✨Know Your Stuff
Make sure you brush up on your Machine Learning and Natural Language Processing knowledge. Be ready to discuss your past projects and how they relate to the role. We recommend preparing specific examples that showcase your skills and experience.
✨Showcase Your Research
Since this role involves high-quality research, be prepared to talk about your previous work and any publications. We suggest bringing a portfolio or a list of your research contributions to demonstrate your expertise and passion for the field.
✨User Interface Focus
As you'll be engineering user interfaces for non-technical users, think about how you can explain complex concepts simply. We advise practising how to present your ideas clearly and concisely, as this will be crucial in the interview.
✨Ask Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects, and the company culture. We believe this shows your genuine interest in the role and helps you assess if it's the right fit for you.
