Martin Schultz and Lukas Leufen attended a workshop on “Machine Learning in weather and climate modelling” at Corpus Christi college in Oxford. This workshop assembled more than 100 top-notch climate scientists and experts in HPC computer science and machine learning to present ongoing work and discuss the way forward. It became clear from the start that machine learning can likely play an important role in almost all stages of a weather and climate modelling workflow. Much discussed topics were the perceived need to impose physical constraints on the machine learning algorithms and quantify uncertainties. Martin Schultz’s presentation on the IntelliAQ and DeepRain projects was well received and the positive response confirmed the research strategy followed by these projects.