Machine Learning Data Scientist for Land Modelling Industrial Placement 2026

The Met Office is delighted to open our advertising for Industrial Placements 2026. This is an exciting opportunity to join the Met Office on a 12-month Year in Industry placement, commencing at the start of July 2026. You will develop your skills and knowledge and ensure you gain the most value possible from your experience with us.

You will have the opportunity to network with our cohort of Industrial Placements all over the Met Office and understand what career opportunities are on offer at the Met Office after you graduate.

As our Machine Learning Data Scientist for Land Modelling Industrial Placement 2026, the job may be suitable for hybrid working, which is where an employee works part of the week in the office and part of the week from home. This is a voluntary, non-contractual arrangement and the location advertised will be your contractual place of work. As an Industrial Placement, we would expect you to attend the office once a week as a minimum.

Our opportunity is full time, 37 hours per week. Our people are at the heart of what we do and we'll do our best to agree a working pattern that works for everyone.

World changing work

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• We’re a force for good – focusing on our environmental and social impact.
  
• We’re experts by nature – always learning and developing to do things better.
  
• We live and breathe it – putting our purpose at the heart of decision‑making.
  
• We’re better together – understanding partnerships and inclusivity make us greater.
  
• We keep evolving – pushing boundaries to make tomorrow better for our customers.
  

Our Industrial Placement scheme offers ambitious and capable undergraduates the opportunity to gain valuable experience working alongside diverse and highly skilled experts in their field. You’ll be working on projects that really matter and will make a difference.

We are offering an exciting opportunity for a highly motivated undergraduate student to spend a year working on the development of machine learning approaches for land surface modelling. The successful candidate will join the team working with the Joint UK Land Environment Simulator (JULES) – a leading community land surface model used in weather, climate, hydrology, and environmental science.

The project will focus on exploring ways in which machine learning can be applied to speed up aspects of JULES while maintaining its physical realism. By combining the strengths of traditional physics‑based models with innovative data‑driven techniques, the aim of this Industrial Placement is to develop more efficient and accurate representations of the land within the Earth system. This placement provides hands‑on experience at the intersection of environmental science, machine learning, and high‑performance computing, and is ideal for students interested in applying computational methods to tackle global challenges.

You will join a team of parameterisation developers in Atmospheric Processes and Parametrisations (APP), working in a collaborative and supportive environment. The placement will provide on‑the‑job training to broaden your expertise, alongside mentoring from experts in land surface modelling and machine learning. This is a valuable opportunity to apply and develop your technical skills on real‑world scientific challenges, while gaining professional experience and building networks for your future career.

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• 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.
  

Your package includes:

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• Your salary will be £27,170
  
• Annual Leave starting at 27.5 days
  
• Access to discounted shopping, inclusive of retail, leisure and lifestyle brands
  

Essential Criteria, skills and experience:

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• Experts by nature – you must be studying for an undergraduate degree with a strong background in a STEM subject e.g., data sciences, applied mathematics, physical sciences or computing.
  
• Experts by nature – you have some experience of scientific programming, ideally with Python.
  
• Keep evolving – you can demonstrate you have an understanding of applying machine learning or computational techniques.
  
• Experts by nature – you can demonstrate you have strong problem‑solving skills and a willingness to learn new methods for environmental applications.
  
• You embrace our culture of "better together" – you have excellent verbal and written communication reflecting an ability to listen, engage and clearly communicate with a varied audience, and to facilitate good teamwork.
  

How to apply

In the position you’ll be based in the Met Office headquarters in the Birmingham, Birmingham. You will be working in the Birmingham only. For more details and the application process, please contact . Closure date: 23:59 7th December 2025. Interviews will be completed by February 2026.

We recruit on merit, fairness, and open competition in line with the Civil Service Code.

We can only accept applications from those eligible to live and work in the UK - please refer to GOV.UK for information. We require Security clearance, for which you need to have resided in the UK for at least 3 of the last 5 years, 2 of these years must be immediately preceding the point of your application. You will need to achieve full security clearance within your first 6 months with us.

Machine Learning Data Scientist for Land Modelling Industrial Placement 2026

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