Alex Gidiotis is a Senior Machine Learning Engineer based in London with nine years of experience building and scaling production ML systems across travel, food delivery, and mobility platforms. He has led end-to-end ML work—from research and prototyping during a PhD in Machine Learning and NLU to deploying real-time dynamic pricing and central forecasting pipelines at companies like Beat, Deliveroo, and Expedia Group. Alex combines hands-on model engineering with MLOps and platform tooling, frequently translating research ideas into reliable, low-latency services. He has also led AI engineering teams and been involved in hiring, proving aptitude for both technical leadership and talent development. Comfortable working at the intersection of big data, forecasting, and NLP, he brings a pragmatic focus on production robustness and measurable business impact. An academic-trained researcher who thrives in product-driven environments, he often bridges advanced ML methods with operational constraints to ship usable AI.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning and Natural Language Understanding, Doctor of Philosophy - PhD, Machine Learning and Natural Language Understanding at Aristotle University of Thessaloniki (AUTH)
Master of Engineering - MEng, Electrical and Electronics engineering, Master of Engineering - MEng, Electrical and Electronics engineering at University of Thessaly
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