London Based Fintech start-up TrueLayer decided to use Machine Learning instead of a rule-based system in mid-2019 and in this meetup we will speak to their lead data scientist Alex Spanos about everything that entailed. During the meetup, we will dive into how TrueLayer architected their MLOps pipeline for their Open Banking API: more specifically which tools they use and why, what prompted them to use machine learning, and how Alex sees the role of a Machine Learning Engineer. Alex has led the hiring process of Machine Learning Engineers and will share learnings on candidates and businesses alike.
In this episode
Lead Data Scientist, TrueLayer
Alex is the Lead Data Scientist at TrueLayer, focusing on building Open Banking API products powered by data. Prior to TrueLayer, he built predictive models in Financial Services, used social data to predict the “next-big-thing” in Fast Moving Consumer Goods and introduced Machine Learning techniques in subsurface imaging. His academic background is in Applied Mathematics & Statistics.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.