Met Office

About the Company

The Met Office combines weather and climate science and data with expert insights to help government, businesses, emergency responders and the public to make informed decisions based on the weather and our changing climate.

Everything we do is based on world-leading science and enhanced by the close working relationships we have with partners around the globe. We collect and make sense of massive amounts of data every day, using cutting-edge technology to deliver it into the hands of the people that need it, when it matters.

Our expert meteorologists tailor forecasts and weather warnings to the needs of individuals and organisations to ensure they have maximum impact. And in collaboration with international organisations, we're advancing global understanding of our changing climate through ground-breaking research that underpins critical services vital for UK resilience.

We are the Met Office. This is world- changing work.

Listed Jobs

Company Name

Met Office

Job Title

DevOps Engineer - Corporate Applications

Job Description

Job Title: DevOps Engineer – Corporate Applications Role Summary Provide technical support, development, and operational excellence for Microsoft‑based applications and services (Power Platform, Dynamics 365, Fabric, SQL Server BI). Lead continuous integration, delivery, and deployment pipelines, maintain cloud and on‑premises integrations, and optimize processes across corporate applications. Expectations ‑ Deliver scalable, reliable, and secure solutions within corporate IT standards. ‑ Collaborate cross‑functionally to define, design, and document application specifications. ‑ Respond to incidents with minimal downtime, performing root‑cause analysis and preventive actions. ‑ Continuously improve DevOps practices, tooling, and process maturity. Key Responsibilities • Analyse and optimize existing processes; define and implement improvements. • Develop, test, and deploy applications/services on Power Platform, Dynamics 365, Fabric, and SQL Server BI stacks. • Design, maintain, and automate CI/CD pipelines for business services. • Monitor services proactively; investigate and resolve incidents. • Manage critical data integrations between cloud, on‑premises, and third‑party systems. • Document technical specifications, code, and operational procedures. • Review code and configurations with peers to ensure quality and compliance. Required Skills • Systems integration: experience with cloud and on‑premises integration patterns. • Microsoft ecosystem: Dynamics 365 CRM, Power Platform, Azure/SQL Server, SSAS/SSIS/SSRS. • Power BI and Fabric development and support. • Process optimization: business analysis, requirement definition, and change implementation. • Software engineering: design, code, test, and document medium‑to‑high complexity scripts or applications. • Familiarity with DevOps tools (e.g., Azure DevOps, Git, YAML pipelines). • Strong problem‑solving, communication, and teamwork skills. Required Education & Certifications • Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience. • Relevant Microsoft certifications (e.g., Microsoft Certified: Power Platform Functional Engineer, Azure DevOps Engineer Expert) preferred. • Proven track record of delivering DevOps engineering solutions in an enterprise environment.

Exeter, United kingdom

On site

04-11-2025

Company Name

Met Office

Job Title

Scientific Software Engineer - Workflows Infrastructure

Job Description

**Job title** Scientific Software Engineer – Workflows Infrastructure **Role Summary** Design, develop, maintain and support the Cylc workflow engine and the Rose workflow framework used to run large‐scale weather and climate models on high‑performance computing resources. Provide technical guidance to scientists and software engineers, optimise pipeline performance, and ensure robust, scalable, and well‑documented workflow solutions. **Expectations** - Deliver measurable improvements to workflow capability and reliability. - Apply rigorous quality assurance, coding standards, and best‑practice practices. - Communicate clearly with technical and non‑technical stakeholders. - Proactively develop personal expertise and mentor colleagues. **Key Responsibilities** - Develop Python backend components for workflow orchestration and monitoring. - Build or extend web‑app front‑end interfaces for workflow configuration and status. - Integrate databases and communication protocols (e.g., HTTP, REST) for data exchange. - Maintain and evolve the open‑source Cylc and Rose projects, including issue triage, code reviews, and documentation. - Consult with scientific teams to design, implement, and optimise workflows for high‑volume HPC jobs. - Collaborate with international partners to align workflow standards and practices. - Implement and enforce QA processes, unit/integration testing, and performance profiling. - Provide training and support to end users, including troubleshooting and best‑practice guidance. **Required Skills** - Strong Python programming (≥3.8) with experience in backend development. - Web‑frontend development (HTML5, CSS, JavaScript, or frameworks such as React/Vue). - Working knowledge of relational or NoSQL databases and SQL/ORM. - Familiarity with HTTP/REST and other communication protocols. - Experience with scientific workflow systems, especially Cylc or similar orchestration tools. - Understanding of HPC concepts, job scheduling, and parallel execution. - Good command of software engineering principles: version control (Git), CI/CD, automated testing, and documentation. - Excellent written and verbal communication; ability to explain technical concepts to diverse audiences. - Collaborative mindset and self‑driven learning. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related field. - Proven experience (≥3 years) in scientific or high‑performance computing software development. - No mandatory certifications required; relevant certifications (e.g., Python, Linux, HPC) are a plus.

Exeter, United kingdom

On site

10-11-2025

Company Name

Met Office

Job Title

National Capability Weather Intelligence Scientist

Job Description

**Job Title**: National Capability Weather Intelligence Scientist **Role Summary**: Apply advanced weather science and technology to enhance forecast accuracy and utility for diverse stakeholders. Develop predictive tools, collaborate cross-functionally, and integrate meteorological insights into operational services. **Expectations**: Conduct research and innovation in weather intelligence, deliver high-quality software solutions, and ensure operational service excellence through interdisciplinary teamwork. **Key Responsibilities**: - Research and apply cutting-edge science/technology to optimize weather forecast outputs. - Develop scientific code and systems for data analysis and forecast production. - Collaborate on multidisciplinary projects to address customer decision-making needs. - Communicate scientific findings via reports/presentations to stakeholders. - Deliver timely, operational weather intelligence services. **Required Skills**: - Expertise in data analysis, machine learning, and scientific programming (e.g., Python). - Strong statistical modeling skills and familiarity with cloud computing (AWS, Azure). - Ability to translate scientific research into actionable forecasts. - Excellent communication for technical and non-technical audiences. **Required Education & Certifications**: - PhD or advanced degree in STEM field (e.g., physics, computer science, environmental science). - Demonstrated experience in data science, meteorology-related research, or machine learning (additional certifications a plus).

Exeter, United kingdom

On site

10-11-2025

Company Name

Met Office

Job Title

Software Developer

Job Description

**Job Title:** Software Developer – Data Services **Role Summary:** Develop scalable, cloud‑native solutions to deliver weather and climate data via APIs and services. Work across cross‑functional squads to integrate scientific modelling outputs with production systems, ensuring high reliability, performance, and data integrity. **Expections:** - Full‑time, 37 hrs/week, with hybrid working model (office & remote). - Participation in a 24/7/365 on‑call roster for operational support. - Collaboration with data scientists, system architects, and end‑user stakeholders. **Key Responsibilities:** - Design, code, test, and deploy Python‑based services on AWS (Lambda, EC2, ECS, EKS, S3, RDS). - Build and maintain RESTful/GraphQL APIs for forecast and observation data delivery. - Interface with supercomputing outputs, ingest terabytes of data daily, and extract actionable insights. - Implement performance, scalability, and reliability enhancements (load balancing, caching, autoscaling). - Write and maintain CI/CD pipelines (Git, Jenkins, GitHub Actions, Terraform, CloudFormation). - Conduct code reviews, unit/integration testing, and automate quality checks (SonarQube, coverage). - Troubleshoot production incidents, participate in post‑mortem analysis, and contribute to incident response documentation. - Work with security teams to enforce IAM policies, encryption, and compliance standards. - Provide documentation (API docs, design notes, run‑books) and mentorship to junior developers. **Required Skills:** - Proficiency in Python (3.x) and experience building production‑grade services. - Deep knowledge of AWS services, architecture patterns, and cost‑efficiency practices. - Experience with API design, versioning, and monitoring (Prometheus, Grafana, CloudWatch). - Familiarity with data engineering concepts (ETL, streaming, batch processing). - Strong understanding of software best practices: TDD, CI/CD, containerization (Docker, Kubernetes). - Ability to write efficient, maintainable code and optimize for large data volumes. - Excellent debugging, troubleshooting, and incident response capability. - Strong communication and teamwork skills in a distributed, cross‑functional environment. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field. - Equivalent professional experience in cloud‑native software development. - AWS Certified Solutions Architect – Associate or Professional (preferred). - Additional certifications in DevOps (e.g., AWS Certified DevOps Engineer) and data engineering (e.g., SnowPro) are a plus.

Exeter, United kingdom

On site

26-01-2026