Summary
Simon Rawles is a machine learning engineer with 12 years of research and commercial experience, now applying ML at Kaluza after driving applied AI projects across startups and academia. He builds end-to-end systems that span computer vision, NLP and knowledge-graph-backed search—shipping production pipelines from custom hardware on farms to game-dialogue generators and large-language-model distillations. His background blends a PhD in machine learning with hands-on R&D leadership at SwiftKey and Principals roles that produced novel recommender, similarity and data-cleaning systems. Notably, he has translated domain expertise into practical models in diverse areas such as ovine obstetrics, interactive game NPCs, and product search, often collaborating closely with non-technical stakeholders. He combines deep algorithmic thinking with pragmatic engineering: designing pipelines, optimising databases, and deploying explainable ML in real environments.
11 years of coding experience
17 years of employment as a software developer
BSc, Mathematics and Theory of Computation, 2.2, BSc, Mathematics and Theory of Computation, 2.2 at University of Warwick
PhD, Machine Learning, PhD, Machine Learning at University of Bristol
German, English