The Cambridge Ellis Unit Summer School on Probabilistic Machine Learning is a distinguished course offered to graduate students, researchers and professionals, featuring engaging experts and world-recognized professionals speaking about advanced machine learning concepts. Topics include Statistical Emulation, Uncertainty Quantification, Evaluation of Probabilistic Models, Reinforcement Learning, Diffusion Models, Normalising Flows, Deep Generative Models, Variational Inference and Stein Discrepancy, Probabilistic Models in Computer Vision and Graphics, and Machine Learning and the Physical World. Applicants must submit a 2-page CV and letter of reference. The event will be held at Pembroke College with lunch and refreshments provided.