Job Introduction
We’re looking for an exceptional Foundation Scientific Software Engineer to help us make a difference to our planet.
As our Foundation Scientific 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 25 hours per week and we will also try our best to consider those intending to work a job share. 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.

ESSENTIAL CRITERIA, SKILLS AND EXPERIENCE:

• Expert by Nature: You demonstrate good working knowledge of a high-level programming language such as Python.
• Expert by Nature: You show evidence of technical insight in delivery of software solutions through the effective application of technical knowledge, understanding, and skills.
• Better Together: You actively engage with colleagues to understand the requirements and wider context of their work.
• Live and Breathe It: You consider robust Quality Assurance processes, best practices, standards, and/or regulations, showing a deep commitment to excellence in delivery. You have knowledge of version control tools such as Git/GitHub.
• Better Together: You communicate knowledge clearly and concisely in both written and verbal formats.
• Better Together and Keep Evolving: You support the development of others by sharing expertise and guidance.

• Maintain and support the software capability required to run verification of NWP models and to deliver upgrades to regional NWP systems.
• Support the delivery of robust, scalable, and efficient code that underpins Met Office science programmes, ensuring it meets operational and research needs.
• Support and troubleshoot software applications, ensuring continuity and reliability in research and operational environments.
• Collaborate with scientists and other scientific software engineers to translate scientific requirements into technical solutions.