AI for Ocean Climate Modelling Industrial Placements 2027

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Job Reference metoffice/TP/687/1474

Apply for this job Contract Details: Fixed Term Contract Working Hours: 37 Location (City/Town): Exeter Closing Date: 08/11/2026 Profession: Science Region / Division: UK Region Careers website category: Industrial placements

Job Introduction

The Met Office is delighted to open our advertising for Industrial Placements 2027.  

This is an exciting opportunity to join the Met Office on a 12-month Year in Industry placement, commencing at the start of July 2027, developing your skills and knowledge and ensuring 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. 

We’re looking for an AI for Ocean Climate Modelling Industrial Placement to help us make a difference to our planet. 

As our AI for Ocean Climate Modelling Industrial Placement, 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 

From science to technology, from meteorology to management, and from planning to communication, our expertise helps us stand out as the authority on weather accuracy and climate prediction. We help individuals, industries and government to make better decisions to stay safe and thrive. This is the Met Office. This is who we are. 

• 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 

Your world of expertise 

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.

Our Industrial Placement scheme gives undergraduates valuable experience working with experts in their field. You will join the Ocean Modelling team within the Ocean, Cryosphere and Climate (OCC) group at the Met Office Hadley Centre. The team delivers ocean modelling capability that underpins the Met Office's coupled weather and climate prediction systems and advances understanding of the ocean's role in climate variability. The group's work spans global, regional and polar marine environments and involves collaboration with national and international partners. The team works with the National Oceanography Centre (NOC) through the Joint Marine Modelling Programme and contributes to the NEMO community ocean model.

This placement offers an opportunity to explore how data-driven approaches could improve the representation of ocean vertical mixing. Vertical mixing influences ocean stratification and circulation, both of which are important for reliable climate projections, but it is often represented using simplified parametrisations. While machine learning has been applied successfully to the parametrisation of mesoscale eddies, its use for vertical mixing remains limited. You will develop skills in ocean science and machine learning while contributing to improvements in ocean model accuracy and reliability.

Your key duties 

• Review literature on recent developments in machine-learning approaches to ocean vertical mixing to understand current limitations.
• Select and process suitable training datasets for use in ML.
• Develop and evaluate a data-driven approach to represent or improve aspects of ocean vertical mixing.
• Assess the performance and validity of the approach using independent data and/or simplified numerical experiments.
• Analyse, document and communicate the results, including limitations and recommendations for future research.
    

Why join us 

Our work is life-changing, often life-saving and always life-enhancing. The Met Office is Great Plac