Jay Buckingham

Jay Buckingham is a seasoned machine learning professional with extensive experience across various industries. Currently serving as the Machine Learning Lead at Zelim since April 2023, Buckingham focuses on enhancing safety at sea, particularly within the offshore wind and energy sectors. Previous roles include Machine Learning Scientist at Absci, where neural networks were developed for gene expression optimization, and Data Scientist at Stitch Fix, contributing to machine learning models for personalized clothing recommendations. As a Deep Learning Consultant at PRENAV, Buckingham advanced neural network algorithms for defect detection in infrastructure using drone imagery. With a strong foundation as Chief Data Scientist at Ars Quanta and experience at Zignal Labs, Apple, Hearsay Social, and other firms, Buckingham possesses a deep expertise in applying machine learning solutions for diverse applications. Educational credentials include a PhD in Artificial Intelligence from The University of Edinburgh.