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Samuel Dillon is an accomplished Principal Machine Learning Engineer at MATCHESFASHION, specializing in building recommendation engines and overseeing ML Ops while mentoring junior team members. Previously, Samuel Dillon served as a Machine Learning Engineer at Clear AI, focusing on supply chain analysis, and at Argos, developing recommender systems. Early career roles include data science positions at Virtual Clarity, Royal Mail, and Ocado Technology, where Samuel Dillon implemented statistical learning algorithms and analyzed complex datasets. Samuel Dillon holds a Ph.D. in Mathematics from Massey University, complemented by a Master's Degree and Bachelor's Degree in Mathematics from The University of Auckland.