Marine Applications Scientist

We’re looking for an exceptional Marine Applications Scientist to help us make a difference to our planet.

As a Marine Applications Scientist, 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 29 hours per week. 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 aforcefor 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 bettertogether-understanding partnerships and inclusivity make us greater
• We keep evolving - pushing boundaries to make tomorrow better for our customers

Your world of expertise

The successful candidate will be joining the Marine Applications team in the wider Industry Science and Consultancy team.

You will be joining a team which applies marine weather and climate information to protect the safety of human and marine life, improve efficiency of maritime operations and define maritime industry standards through user requirement and science-driven development.

We work closely with Energy & Environment, and Regulated Transport markets teams to identify both industry and government marine requirements particularly in energy/food security, ecosystems, coastal risks, marine autonomy, and offshore efficiency and safety.

You will work closely with your marine applications team members, academic partners and across other marine teams in the office to continue development and application of innovative machine-learning techniques to address these customer requirements.

Your Key Duties

• Use and contribute to the development and application of machine learning techniques for observation driven marine forecasting to address marine customer requirements.
• Contribute to growth and development of marine climate project work within the team through working with markets teams to identify customer requirements and working in collaboration with other marine teams within the office to address these gaps.
• Work closely with the energy, environment and maritime markets teams to ensure user needs are pulled through into scientific innovation.
• Respond to routine consultancy requests from the offshore maritime sector customers.
• Give regular project updates at markets team meetings, internal seminars and customer/user meetings
• Present project outputs through customer reports, and peer-reviewed science publications customer/user meetings, internal, national and international science conferences.

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 Marine Applications Scientist, your total reward package will be up to £47,606 annually, which includes:

• 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:

• An ‘
  Expert by Nature
  ’ with evidence of a track record in scientific and/or technical delivery demonstrating scientific insight and independence in weather/climate/ocean projects.
• Evidence of good programming (e.g. Python), machine learning or AI skills with a demonstrated ability to…