Andy McMahon

Delivering an enterprise-scale MLOps capability to optimize time to value

As businesses embrace machine learning across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. MLOps is helping companies streamline their end-to-end ML lifecycle and boost productivity of data scientists while maintaining high model accuracy and enhancing security and compliance. In this session, we will share some of the capabilities we have built and deployed at NatWest Group in order to accelerate our development processes and deploy valuable solutions to production more robustly, reliably and repeatably.

Andy is ML Engineering Lead in the Data Science and Innovation team in NatWest Group. He helps develop and implement best practices and capabilities for taking machine learning products to production across the bank. Andy has several years’ experience leading data science and ML teams and speaks and writes extensively on MLOps. He has written the book “Machine Learning Engineering with Python”, published in 2021 by Packt and has received several awards and accolades, including the 'Rising Star of the Year' category at the British Data Awards in 2022.

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