Bram Van Meurs is a Staff MLOps Engineer based in Oxford with 11 years of experience building production-grade ML systems at the intersection of engineering and research. He leads development of an enterprise ML platform, bringing pragmatic MLOps best practices, tested Python code, and internal tooling to accelerate model deployment and reduce time-to-market. His background in applied physics, operations research and engineering policy gives him unusual strength in translating complex optimization and data problems into reliable pipelines and scalable services. Bram has hands-on experience standardizing heterogeneous medical data and shipping AI-powered diagnostic tooling, showing he can navigate regulated, data-sensitive domains. He is particularly effective at maturing teams and projects up the MLOps ladder—combining technical leadership with a research-informed mindset. Outside of product work he has a track record of building internal workshops and developer-facing tooling to spread operational excellence.
10 years of coding experience
6 years of employment as a software developer
VWO, VWO at Murmellius Gymnasium
Master Engineering and Policy Analysis, Master Engineering and Policy Analysis at Delft University of Technology
Master Operations Research and Quantitative Logistics, Master Operations Research and Quantitative Logistics at Erasmus School of Economics
Contributions:1 PR, 63 pushes, 10 branches in 2 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.