Government weather and climate science agency delivering forecasts and climate insights
Met Office operates at the intersection of meteorological science and operational data delivery—collecting and processing massive daily datasets to feed weather forecasts, climate analysis, and emergency response systems. The tech stack (Azure, GitHub, Jira, ServiceNow) reflects a government science organization modernizing around cloud infrastructure and developer tooling. Active hiring skews heavily toward engineering and research roles, with pain points concentrated on data assimilation efficiency, HPC algorithm complexity, and CI/CD bottlenecks—a pattern common in organizations scaling from legacy supercomputing infrastructure toward cloud-native workflows.
The Met Office is the United Kingdom's national weather service and climate research authority, founded in 1854. The organization combines meteorological science with operational forecasting to serve government agencies, emergency responders, businesses, and the public. Its core functions include real-time weather forecasting and warnings, long-term climate science research, and consultancy services. The organization maintains a 1,001–5,000 person workforce based in Exeter, Devon, with operations structured around engineering, research, data, and science teams. Active projects span weather forecast service delivery, machine learning weather prediction models (FastNet), HPC operational redesigns, and climate-related policy support.
Primary stack includes Azure (cloud), Microsoft 365, GitHub (version control), Jira (project management), Confluence (documentation), ServiceNow (IT service management), Cisco and Fortinet (networking), and Power BI (analytics).
Current projects include weather forecast service redesign, sea ice model evaluation, HPC forecasting capability modernization, machine learning weather prediction (FastNet model), environmental data governance, and clean energy transition support initiatives.
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