This talk will present an overview about the Machine Learning activities at ECMWF which are spread over the entire workflow of numerical weather predictions and Copernicus Climate services. The potential impact of machine learning on high performance computing performance of future model configurations will be in the focus of the talk, including the approach to emulate physical parametrisation schemes via neural networks to achieve efficiency gains.