This talk describes how Auto Trader launched a suite of new machine learning
models with the ability serve low-latency predictions in real time. These models
are automatically retrained and redeployed using continuous deployment pipelines
in our existing deployment infrastructure, making use of technology including
Apache Spark, Airflow, Docker and Kubernetes.
