Science Manager: Intra-model Machine Learning

We're looking for an exceptional Science Manager: Intra-model Machine Learning to help us make a difference to our planet.

As our Science Manager: Intra-model Machine Learning, 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.

Our opportunity is full time, 37 hours per week, but we would also consider applicants wishing to work a minimum of 30 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

You will lead a team carrying out scientific research to couple machine-learnt elements into the physical models used for weather prediction and climate projection. By combining atmospheric science knowledge with machine learning and stochastic physics techniques you will deliver improvements to the simulations used to help keep people safe.

Your key duties:

• To work as part of the Atmospheric Processes and Parametrization management team.
• To contribute to setting the strategic direction of the Research and Development programme for parametrization emulation and development against a landscape of rapid developments in machine learning and modelling capabilities.
• To creatively and positively lead and develop a team of research scientists and scientific software engineers.

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 and 2024 lists, as well as their '54 Best Workplaces for Women' 2023 list.

As our Science Manager: Intra-model Machine Learning, your total reward package will be up to £73,518 annually, which includes:

• £52,799 base pay
• An outstanding Civil Service pension, with an average employer contribution of 28.97%
• Annual Leave starting at 27.5 days (plus Bank Holidays) rising to 32.5 days (plus Bank Holidays) after 5 years and option to buy or sell up to 5 days per year of annual leave

Essential Criteria, skills and experience:

• Evidence of research experience in mathematical, physical or environmental science (e.g. PhD + several years' postdoc, or demonstration of equivalent experience) and an ability to lead the successful publication of scientific work
• Demonstrable experience of project management, leading to pull-through of scientific and technical developments, demonstrating sustained scientific integrity and effective software quality assurance
• Proven ability to learn new skills and evidence of interest in, and technical understanding of, machine learning and stochastic physics, and their uses in improving atmospheric modelling capabilities
• An interest in people management and clear potential to manage and motivate diverse and inclusive teams
• Excellent understanding of atmospheric science and the role of parametrizations in improving global and regional, and weather and climate predictions
• Evidence of excellent communication skills leading to fruitful collaborations
• Proven ability to make effective use of mentoring and development of others, to build upon own delivery and achieve more through teamwork

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.

Equal Opportunities

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.