Richard Gilmore
About Richard Gilmore
Richard Gilmore serves as the Director of Data Engineering and Machine Learning at Slice in Belfast, Northern Ireland, where he has worked since 2022. With a background in data engineering and software development, he has held various positions in the tech industry, including roles at BT and BAE Systems Detica.
Work at Slice
Richard Gilmore has been serving as the Director of Data Engineering and Machine Learning at Slice since 2022. His role in Belfast, Northern Ireland, involves overseeing data engineering initiatives and machine learning projects. Prior to this position, he worked as a Staff Data Engineer at Slice for eight months in 2021 and briefly held the position of Principal Engineer, Data in 2022. His experience at Slice reflects a strong focus on data-driven solutions and engineering practices.
Education and Expertise
Richard Gilmore earned a Master's degree in Computer Science and Electronics from Queen's University Belfast, where he studied from 2008 to 2013. He also completed A-levels at Dalriada from 2001 to 2008. His academic background laid the foundation for his expertise in data science and engineering, particularly in building real-time distributed systems for data extraction and service. He maintains an interest in the latest developments in machine learning and stream processing on cloud platforms.
Background
Richard Gilmore has a diverse professional background, beginning his career in 2008 with the Northern Ireland Civil Service as a Customer Service representative. He transitioned to technical roles, including positions at BAE Systems Detica as an IP Software Engineer and BT as a Lead Software Engineer in Data. His experience spans various sectors, with a significant focus on data engineering and software development, particularly during his tenure at Slice.
Achievements
Throughout his career, Richard Gilmore has contributed to various projects that emphasize data extraction and machine learning. His work at Slice and previous roles demonstrates his ability to derive insights from data and implement real-time distributed systems. His commitment to staying updated with advancements in machine learning further underscores his professional dedication and expertise in the field.