Summary
Benjamin Hoyle is a UK and European Patent Attorney and information engineer with 12+ years' experience specialising in AI, machine learning and high‑tech patenting while also building production ML systems. He bridges legal strategy and hands‑on engineering—having read Goodfellow, completed early Udacity AI coursework, and implemented deep learning models in Keras as well as containerised LLM/vision services deployed to Azure. At Simibrum he develops end-to-end NLP/LLM applications, CI/CD pipelines, async Postgres-backed microservices and pragmatic tooling around LangChain/LlamaIndex alternatives. He runs a patent consultancy and directs Hoyle IP Services, advising on prosecution and designs for complex tech clients across the UK and Europe. Based in Bath, he combines rigorous Cambridge engineering training with a practitioner’s fluency in both neural and Bayesian approaches—plus an often overlooked talent for turning research prototypes into production APIs.
12 years of coding experience
Various - see courses, Various - see courses at Udacity / Coursera / Khan Academy
Engineering, General then Information and Computer Engineering, (First class result for Third Year, Honours with Distinction for MEng.), Engineering, General then Information and Computer Engineering, (First class result for Third Year, Honours with Distinction for MEng.) at University of Cambridge
A levels / GCSEs, Maths, Further Maths, Physics, Computing, A levels / GCSEs, Maths, Further Maths, Physics, Computing at Millfield School
Cert. IP Law, Foundation course in IP Law, Distinction, Cert. IP Law, Foundation course in IP Law, Distinction at Queen Mary, U. of London