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Agentic AI for Weather and Climate Model Development Industrial Placement 2027

Met Office

Department
Met Office
Location
Exeter
Openings
1 post
Grade
Other
Salary
£27,170
Closing
17 days left
Profession
Science
Contract
Temporary, Fixed term
Security clearance
SC
Working pattern
Full-time
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Job summary

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 Agentic AI for Weather and Climate Model Development Industrial Placement to help us make a difference to our planet.

As our Agentic AI for Weather and Climate Model Development 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

What they’re looking for

  • Lead Criteria: Studying for a degree in a mathematical or physical science, with an industrial placement year included (Expert by Nature)
  • Experience with programming or scientific computing tools such as Fortran, Python, or MATLAB, showing a commitment to continuous learning and technological development (Live and Breathe it).
  • A clear interest in AI and machine learning, with a motivation to build skills in this area (Keep Evolving).
  • Strong analytical and problem-solving skills, with the ability to work independently on scientific challenges (Expert by Nature).
  • Excellent written and oral communication skills, with the ability to communicate scientific and/or technical concepts to a broad range of audiences (Force for Good).
  • Evidence of working effectively with others as part of a team, demonstrating a collaborative approach to successfully deliver common goals (Better together).
  • The panel may perform a preliminary sift of the lead criteria as indicated above.

Job description

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 next-generation weather and climate modelling systems increasingly combine physically-based numerical models with data-driven machine learning approaches, creating exciting opportunities for hybrid modelling techniques.

Exciting advances are being made in the use of Agentic AI tools to accelerate scientific discovery and software development. Working with members of our Dynamics Research team, you will investigate how Agentic AI can be used to develop, train and evaluate hybrid physical-machine learning models, delivering a prototype capability based on our existing modelling frameworks.

Your key duties

  • Develop a prototype hybrid physical-machine learning model
  • Use the Agentic AI to assist with training, testing and evaluating the integrated model
  • Work with experts to help ensure the AI developments are robust and quality assured.

Nationality requirements

This job is broadly open to the following groups:

  • UK nationals
  • nationals of the Republic of Ireland
  • nationals of Commonwealth countries who have the right to work in the UK
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
  • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

Selection process

If you share our values, we’d love to hear from you! Click apply to begin your application.

Please complete your career history and provide evidence against each of the essential criteria in the supporting statement questionnaire. We recommend candidates use the CARL method (Context, Action, Result and Learning) for presenting evidence of experience and skills. Please also look at the Early Careers Programmes Application Guidance at the bottom of this advert.

Closing date: 23:59 8th November 2026. Please note we often receive a high volume of applications, but we will contact everyone who applies once the closing date has passed.

Interviews will be completed by 16th December 2026.

Using AI in your application

We welcome applications that use AI tools for support in drafting or refining, as long as they accurately reflect your own skills and experience. All hiring decisions at the Met Office are made by people, not AI. For more details, visit our approach to recruitment.

How we can help

If you have any questions or would like to discuss this opportunity further, please contact us at careers@metoffice.gov.uk.

If you’re considering applying and need support to do so, please get in touch. You can request adjustments either within your application or by contacting us. Should you be offered an interview, please be aware there may be a selection exercise which could include a presentation, written test or a scenario-based activity. You can select in your application to be considered under the Disability Confident Scheme. To be invited to interview/assessment under this scheme, your application must meet the essential criteria for the role.

We understand that great minds don’t always think alike and as an equal opportunities employer we welcome applications from those with all protected characteristics. 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 without caveats and/or restrictions for this role, for which you need to have resided in the UK for at least 3 of the last 5 years to be eligible, 2 of these years must be immediately preceding the point of your application.

If you feel that your application has not been treated in accordance with the Recruitment Principles, and wish to make a complaint, then in the first instance you should contact us at: careers@metoffice.gov.uk If you are not satisfied with the response that you receive, then you can contact the Civil Service Commission at: info@csc.gov.uk

ApplicationTips_EarlyCareers2027.pdf

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