Radar R&D - Scientific Software Engineer

Radar R&D - Scientific Software Engineer

We’re looking for an exceptional Scientific Software Engineer in Radar R&D to help us make a difference to our planet.

As our software engineer 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 33 hours per week and we will also try our best to consider those intending to work a jobshare. Our people are at the heart of what we do and we’ll do our best toagreea 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

As a world-leading authority in weather and climate services, observations are fundamental to almost everything we do at the Met Office. Our network of weather radars measure the atmosphere, feeding data into high performance numerical models and are used by our forecasting teams to precisely predict the weather. collect these underpinning observations, we utilise innovative technology that improves the quality and accuracy of our radar systems and helps us to deliver the most accurate forecasts to our customers.

Technology and science go hand-in-hand to drive our success and that’s where you come in.

Working with our upgraded Dual Polarisation radars, you’ll join our Radar Research and Development Team to develop techniques and processes to enhance the data collected through our observing network. The Radar R&D team are responsible for end-to-end upgrades of the UK Weather Radar capability. Your technical skills, combined with your scientific understanding, can help us develop the cutting-edge systems that will deliver reliable and timely weather information to our customers, which include the Flood Forecasting Centre, regional water companies across the UK and the Environment Agency.

• Help to design and develop operational data services exploiting cloud computing technologies to efficiently produce radar products.
• Support Met Office scientists and engineers to develop high-quality code and implementations of their research, lead activities to develop their capabilities.
• Collaborate with a motivated team to deliver projects that solve real world challenges.

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 and 2025 lists, as well as their ’54 Best Workplaces for Women’ 2023 list.

As our Scientific Software Engineer in Radar R&D, your total reward package will be up to £51,648 annually, which includes:

• An outstanding Civil Service pension, with an average employer contribution of 28.97%
• Recruitment Retention Allowance (RRA) you will be paid £2,200 per annum as a market supplement to reflect the demand for your skills. Whilst in post, you will be paid this market-driven allowance from April 2024 until March 2026 in your monthly pay
• Annual Leave starting at 27.5 days (plus Bank Holidays) rising to 32.5 days (plus Bank Holidays) after 5 years and to buy or sell up to 5 days per year of annual leave

Essential Criteria, skills and experience:

• Experience and knowledge in a mathematical, physical or computational science or related discipline, equivalent to several years working…