Met Office
AI for Ocean Climate Modelling Industrial Placements 2027

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Industrial Placements 2027
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 Place to Work UK certified. We are also featured on their 'Best Workplaces in Tech' 2023, 2024, 2025 and 2026 lists, as well as their '54 Best Workplaces for Women' 2023 list.
Your package includes:
- Your salary will be £27,170
- Annual Leave starting at 27.5 days
- Access to discounted shopping, inclusive of retail, leisure and lifestyle brands
Whilst this is a temporary position until July 2028, there may be an opportunity to apply for our Graduate Development scheme upon completion of your university studies. However, this is not guaranteed and would be subject to programme availability and a successful application.
Essential Criteria, skills and experience
- Lead Criteria: Experience with programming or scientific computing tools such as Fortran, Python, or MATLAB, showing a commitment to continuous learning and technological development.
- Studying for a degree in a mathematical or physical science, with an industrial placement year included
- A clear interest in AI and machine learning, with a strong motivation to build skills in this area (Keep Evolving).
- Strong analytical and problem-solving skills.
- The ability to communicate technical ideas clearly and concisely in writing and in small-group discussions (Better Together).


Get help with your application
Your very own career expert that helps elevate your application to the next level.
The panel may perform a preliminary sift of the lead criteria as indicated above.
How to apply
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.
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: If you are not satisfied with the response that you receive, then you can contact the Civil Service Commission at:
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location