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- Tasks: Develop and test machine learning techniques for land surface modelling.
- Company: Join the Met Office, a leader in environmental science.
- Benefits: Competitive salary of £27,170, 27.5 days annual leave, and discounts on shopping.
- Other info: 12-month placement starting July 2026 with excellent teamwork opportunities.
- Why this job: Make a real impact on environmental applications while gaining valuable experience.
- Qualifications: Studying a STEM degree with programming experience, preferably in Python.
The predicted salary is between 22700 - 30000 £ per year.
Join to apply for the Machine Learning Data Scientist for Land Modelling Industrial Placement 2026 role at Met Office. We are looking for an undergraduate student to work for a 12‑month placement starting July 2026 developing machine learning approaches for land surface modelling. Base pay range £27,170.
Responsibilities
- Assist in developing and testing machine learning techniques to improve the computational performance of JULES.
- Support the identification of model components where ML can provide acceleration.
- Work with scientists and software developers to integrate ML approaches into existing workflows.
- Contribute to project documentation, reporting, and (where appropriate) publications or presentations.
Essential criteria, skills and experience
- Studying for an undergraduate degree in a STEM subject (data sciences, applied mathematics, physical sciences or computing).
- Some experience of scientific programming, ideally with Python.
- Understanding of applying machine learning or computational techniques.
- Strong problem‑solving skills and willingness to learn new methods for environmental applications.
- Excellent verbal and written communication reflecting the ability to listen, engage and clearly communicate with a varied audience, and to facilitate good teamwork.
Package
- Salary £27,170.
- Annual leave 27.5 days.
- Access to discounted shopping, inclusive of retail, leisure and lifestyle brands.
How to apply
If you share our values, please click apply to begin your application. Closing date: 23:59 7th December 2025. Interviews will be completed by February 2026. We welcome applications that use AI tools for support in drafting or refining, as long as they accurately reflect your own skills and experience.
Machine Learning Data Scientist Land Modelling IP 2026 employer: Met Office
Contact Detail:
Met Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Data Scientist Land Modelling IP 2026
✨Tip Number 1
Network like a pro! Reach out to current or past employees at Met Office on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and machine learning concepts. We want to show that we can hit the ground running and contribute to JULES right away!
✨Tip Number 3
Practice our communication skills! Since teamwork is key, let’s get comfortable explaining complex ideas in simple terms. It’ll help us shine during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Machine Learning Data Scientist Land Modelling IP 2026
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Data Scientist role. Highlight relevant skills like Python programming and any experience with machine learning techniques. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about land modelling and how your studies have prepared you for this placement. We love seeing enthusiasm and a clear connection to the role.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex problems. We’re keen on candidates who can demonstrate strong problem-solving abilities, especially in environmental applications.
Apply Through Our Website: Remember to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it helps us keep track of all the amazing candidates like you who are interested in joining our team.
How to prepare for a job interview at Met Office
✨Know Your Machine Learning Basics
Make sure you brush up on your machine learning fundamentals, especially those relevant to land surface modelling. Be prepared to discuss how you've applied these techniques in your studies or projects, and think of examples where you've used Python for scientific programming.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some problem-solving scenarios. Think about how you would approach a challenge in improving computational performance or integrating ML into workflows. Use specific examples from your coursework or projects to illustrate your thought process.
✨Communicate Clearly and Effectively
Since the role involves working with scientists and developers, strong communication skills are key. Practice explaining complex concepts in simple terms, and be prepared to discuss how you’ve collaborated in teams. This will show that you can engage with a varied audience.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the role and the team at Met Office. This shows your genuine interest in the position and helps you understand how you can contribute. Ask about the specific ML techniques they’re currently using or how they envision the integration of new methods.