Summary
Oliver Giles is a Senior Machine Learning Engineer based in London with 4 years of experience building and productionising LLM and data engineering solutions for both enterprise and education. He combines hands-on expertise in Python, Kubernetes, TensorFlow, HuggingFace and cloud-native deployments with practical MLOps—optimising models for small footprint without sacrificing performance. At Le Wagon he designed and shipped a vector DB-powered LLM teaching assistant serving thousands of users and repeatedly trialed diverse model families to match business needs. He’s an effective communicator and lecturer who has taught hundreds of students and authored an award-winning data engineering course, and earlier in his career improved neural valuation models at scale in finance. A container enthusiast by trade, he focuses on scalable, efficient LLM systems that bridge research and production.
4 years of coding experience
3 years of employment as a software developer
Data Science, Computer Programming, Data Science, Computer Programming at Le Wagon
Bachelor of Laws - LLB, Law, First Class, Bachelor of Laws - LLB, Law, First Class at Queen Mary University of London