Summary
Rich Riley is a Director and freelance Machine Learning and AI consultant with 12 years of experience building end-to-end ML systems from prototypes to business-critical production deployments. He combines hands-on expertise in deep learning, computer vision, signal processing, LLMs/RAG, and real-time conversational AI with practical experience deploying models on edge devices like NVIDIA Jetson. Rich has led teams and technical strategy in defense and industrial settings, driving reusable PyTorch pipelines, RF anomaly detection roadmaps, and multi-agent reinforcement learning projects. He pairs strong engineering delivery with stakeholder-facing communication, surfacing trade-offs, risks, and operational constraints such as limited labels, latency, and hardware. An early software engineer with notable OpenAM contributions, he still blends backend engineering discipline with ML system design to ensure reliable integrations. Based in Bristol, he also offers targeted training and workshops to lift technical and non-technical teams toward production-ready ML.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science in Computer Science, Bachelor of Science in Computer Science at University of Exeter
Masters in Advanced Computing Machine Learning and Datamining, Masters in Advanced Computing Machine Learning and Datamining at University of Bristol