MLOps London is a community of like-minded engineers, developers and data scientists who focus on the challenges faced while building and deploying production Machine Learning systems at scale. It is an open and diverse place to meet, share experiences and learn from each other.
Our regular meetups are an opportunity to hear from leaders in the field about challenges, tooling and best practices. If you are interested in speaking or want to suggest a great talk you’ve heard before please let us know (no vendor or recruitment pitches please).
MLOps London is back again in March with more talks on production machine learning, DevOps and Data Science. The plan, as usual, is to run another hybrid event so please come along in person if you're local. If you're further afield you will still be able to join the stream.
⏱️ 6.00pm onwards
🍺 Arrival, drinks and networking
🎤 Kick off and welcome
🎤 If Michaelangelo were a data scientist: What we get wrong about deep learning
🧑 Meryem Arik - Co-Founder @ TYTN
🧑 Jamie Dborin - Co-Founder @ TYTN
Large, pretrained deep learning models, like those popular in NLP, are becoming the fastest and easiest ways to build high quality AI models. Viewing these foundation models as starting points, this talk goes over a number of ways you can create new, smaller, faster models from a large model.