At a Glance
- Tasks: Apply machine learning methods to climate datasets and numerical modelling.
- Company: Join the University of Cambridge's Institute of Computing for Climate Science.
- Benefits: Competitive salary, market pay supplement, and a fixed-term contract until 2028.
- Other info: Be part of a collaborative team of 12 RSEs in a dynamic research environment.
- Why this job: Make a real impact on climate science with innovative ML projects.
- Qualifications: Expertise in machine learning and experience with climate data.
The predicted salary is between 47389 - 59966 £ per year.
The Institute of Computing for Climate Science at the University of Cambridge is advertising for a Senior Research Software Engineer in Machine Learning.
The position will cover a range of responsibilities but will have particular expertise in applying ML methods to climate datasets, numerical modelling, and data-driven methods.
Join of a team of 12 RSEs working in the climate science domain on a wide range of projects.
Fixed end date of 31 December 2028.
Salary range £47,389 – £59,966 plus a market pay supplement of £9,978
Closing date 28th August 2026.
Further details at: https://www. cam. ac. uk/jobs/senior-ml-research-software-engineer-iccs-fixed-term-vc50606
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Senior ML Research Software Engineer (ICCS) Institute of Computing for Climate Science, University of Cambridge employer: Society of Research Software Engineering
The British Library is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the Digital Research Team. With a commitment to inclusivity and diversity, employees benefit from flexible working arrangements, generous holiday allowances, and opportunities for professional growth in a prestigious environment dedicated to advancing digital scholarship and public outreach.
Contact Details:
Society of Research Software Engineering Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Research Software Engineer (ICCS) Institute of Computing for Climate Science, University of Cambridge
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We think you need these skills to ace Senior ML Research Software Engineer (ICCS) Institute of Computing for Climate Science, University of Cambridge
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Society of Research Software Engineering, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Society of Research Software Engineering, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Society of Research Software Engineering’s attention and show the tangible impact of your work.
How to prepare for a job interview at Society of Research Software Engineering
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Society of Research Software Engineering.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Society of Research Software Engineering.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Society of Research Software Engineering.
