Machine Learning Engineer for Climate and Weather Forecasting Applications (m/f)
Federal Office of Meteorology and Climatology MeteoSwiss
01.10.2026
temporary
31.12.2028
#LI-MCH1012
Operation Center 1, Frachtstrasse, 8058 Zürich
This is how you can contribute
- Drive innovation by evaluating and prototyping emerging ML and MLOps technologies through hands-on proof of concepts
- Drive the integration and operationalization of a state-of-the-art ML weather forecasting system within MeteoSwiss and the Digital Europe Programme (DEP) Destination Earth, bringing Anemoi-based models to production readiness and benchmarking them across leading EuroHPC supercomputing centres
- Co-develop new forecasting approaches alongside data scientists and meteorologists at MeteoSwiss and partner institutions across Europe
- Build and evolve the ML tooling, services, and workflows that underpin reliable, production-grade forecasting systems in cloud and high-performance computing environments such as the Swiss National Supercomputer Centre (CSCS)
This makes you unique
- University degree (at least ISCED 7) in computer science, applied mathematics, data science or a related field
- Experience with MLOps, container technologies, as well as cloud platforms and HPC environments (e.g. Docker, Kubernetes, Terraform, SLURM)
- Very good programming skills in Python and familiarity with the PyTorch ML framework
- Dedicated personality with a creative, problem-solving mindset and strong communication skills
- Active knowledge of one official language, passive knowledge of a second official language and very good knowledge of English
In a nutshell
As an ML Engineer (m/w) for Weather and Climate, you will bring cutting-edge forecasting models to operational scale across Europe, prototyping new ML and MLOps approaches and helping shape the next generation of weather forecasting.
01.10.2026
temporary
31.12.2028
#LI-MCH1012
Operation Center 1, Frachtstrasse, 8058 Zürich
Questions about the position
Gabriela Aznar +41 58 460 97 11Send message
Questions about applying
Nicole Gianotti +41 58 460 95 04Send message
Questions about the position
Gabriela Aznar+41 58 460 97 11
Send messageQuestions about applying
Nicole Gianotti+41 58 460 95 04
Send messageIn a nutshell
As an ML Engineer (m/w) for Weather and Climate, you will bring cutting-edge forecasting models to operational scale across Europe, prototyping new ML and MLOps approaches and helping shape the next generation of weather forecasting.
What sets us apart
The Swiss Federal Office for Meteorology and Climatology MeteoSwiss is the Swiss National Weather Service. We record and forecast weather and climate in Switzerland and thus make a sustainable contribution to the well-being of the community and to the benefit of industry, science and the environment.
The offices of the Federal Department of Home Affairs (FDHA) take systematic measures to ensure a good working environment and the health of their staff. This commitment has earned them the Friendly Work Space label.
Our benefits
#F7B4B8Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.
#F7B4B8Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.
#B8E1D8Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.
#B8E1D8Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.
#FFF0BBStaying healthy at workWe support and advise our employees in the area of physical and mental health.
#FFF0BBStaying healthy at workWe support and advise our employees in the area of physical and mental health.
#D7EEECEqual pay for equal workWe ensure equal pay and provide remuneration based on performance, experience and the requirements of the position.
#D7EEECEqual pay for equal workWe ensure equal pay and provide remuneration based on performance, experience and the requirements of the position.
#FAD8B9Work-life balanceWe support individual lifestyles with flexible forms of work and various time models.
#FAD8B9Work-life balanceWe support individual lifestyles with flexible forms of work and various time models.
#E8D7E8Career prospectsWe promote the professional and personal development of our employees with state-of-the-art training and continuing professional development programmes.
#E8D7E8Career prospectsWe promote the professional and personal development of our employees with state-of-the-art training and continuing professional development programmes.
Questions about the position
Gabriela Aznar+41 58 460 97 11
Send messageQuestions about applying
Nicole Gianotti+41 58 460 95 04
Send message