Summary
Chris Ballard is a Fractional Head of AI and seasoned AI/ML engineer with 25 years' applied experience and a decade in senior roles, helping £20m–£500m organisations turn AI from a cost centre into measurable ROI. He blends hands-on engineering—deploying scalable LLM/RAG systems, multi-agent pipelines and production ML—with strategic leadership, having built and led teams from startup prototypes to enterprise deployments. Notable engagements include architecting a climate-policy semantic search showcased at COP26, driving a 20% improvement in email threat detection at Tessian, and automating retail space planning workflows for StoreSpace. Comfortable moving between rapid prototyping and disciplined production (AWS Lambda, Spark, LangGraph, LlamaIndex), he focuses on cutting wasted pilot spend while balancing short-term wins with long-term model governance. Based in Norwich, he pairs deep technical breadth with board-level communication and a practical knack for turning research into product impact.
10 years of coding experience
22 years of employment as a software developer
Master of Science (MSc), Knowledge Discovery and Data Mining, Master of Science (MSc), Knowledge Discovery and Data Mining at University of East Anglia
Machine Learning course, Machine Learning course at coursera
BSc (Hons), Physics, BSc (Hons), Physics at University of Bristol