James Ravenscroft is a Manager of Research Engineering with a PhD in Applied AI and 14 years of experience building scalable ML and NLP systems for enterprise clients and research partners. He progressed from hands-on engineering at IBM to CTO of Filament AI, where he grew the tech team to 25, delivered 100+ AI projects for clients like HSBC and T-Mobile, and secured Innovate UK grants for university collaborations. His work blends production-grade MLOps and DevOps practices with rigorous research, exemplified by a CogX Best AI Product award and a PhD thesis shortlisted for best thesis 2022. James contributes to open-source projects (including gameplay mechanics in the Cuberite Minecraft server), lectures at universities, and mentors emerging engineers. Based in East Hampshire, he combines technical leadership with practical governance—managing GDPR, CyberEssentials prep, and R&D tax credit processes. Outside work he’s an ML/NLP enthusiast, saxophonist and foodie, reflecting a creative, multidisciplinary approach to problem solving.
14 years of coding experience
13 years of employment as a software developer
Lacon Childe School
BSc, AI and Robotics, First Class Honours, BSc, AI and Robotics, First Class Honours at University of Wales, Aberystwyth
A Level, Physics, Maths, Computing, A Level, Physics, Maths, Computing at Ludlow College
A lightweight, fast and extensible game server for Minecraft
Role in this project:
Back-end Developer
Contributions:8 commits in 1 day
Contributions summary:James primarily focused on implementing player-related features within the Minecraft server, "Cuberite". They implemented a player drowning mechanic, including air level management and damage calculation. The user made several code formatting improvements and corrected the mushroom soup food handler. The commits also included adding swim state flags and handling food exhaustion calculations.
Contributions:2 PRs, 51 pushes, 2 branches in 5 years
matcherground
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James Ravenscroft - Manager, Research Engineering at Thomson Reuters