Summary
Mark Worrall is a founder and applied machine learning leader with nine years of experience building production-ready data science and Bayesian modelling solutions across finance and R&D. After a quantitative career in asset management, he led cross-functional squads at Faculty, delivering probabilistic time-series, NLP and tooling work before founding Nodeledge.ai to commercialise science-backed, mastery-driven learning for technical professionals. He blends deep mathematical training (MMath) with hands-on full-stack data science skills and a track record of shipping bespoke ML systems—everything from deepfake detection to synthetic data and forecasting. Based in London, he uniquely combines investment-grade risk modelling discipline with a learner-focused product mindset to make complex technical concepts genuinely understandable.
9 years of coding experience
9 years of employment as a software developer
MMath, Master of Mathematics, MMath, Master of Mathematics at University of York