Jose Navarro is an MLOps engineer with nine years of software experience and over five years driving ML and platform work in fast-moving startups, currently building production ML systems at Cleo. With a Master's in Machine Learning from the University of Bristol, he has led machine learning platform teams at Cookpad and moved models from research into resilient microservice and monolith deployments. He combines hands-on Python/Django and cloud-native infrastructure skills with people leadership experience as an engineering manager and meetup organiser for the Bristol MLOps community. Known for proactive learning and pragmatic engineering, Jose excels at closing the gap between experimentation and scalable production. An early-career background in product development and production support gives him a practical, end-to-end perspective on reliability and feature delivery.
9 years of coding experience
8 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master of Science (MS), Advanced Computing: Machine learning, data mining and high performance computing, 2:1, Master of Science (MS), Advanced Computing: Machine learning, data mining and high performance computing, 2:1 at University of Bristol
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