Dr Alex Ioannides

Best Practices for Engineering ML Pipelines - Part 2

Posted on Mon 07 November 2022 in machine-learning-engineering • Tagged with python, machine-learning, mlops, kubernetes, bodywork

This is the second part in a series of articles demonstrating best practices for engineering ML pipelines and deploying them to production. In the first part we focused on project setup - everything from codebase structure to configuring a CI/CD pipeline and making an initial deployment of a skeleton pipeline …

Best Practices for Engineering ML Pipelines - Part 1

Posted on Wed 03 March 2021 in machine-learning-engineering • Tagged with python, machine-learning, mlops, kubernetes, bodywork

The is the first in a series of articles demonstrating how to engineer a machine learning pipeline and deploy it to a production environment. We’re going to assume that a solution to a ML problem already exists within a Jupyter notebook, and that our task is to engineer this …

Deploying Python ML Models with Flask, Docker and Kubernetes

Posted on Thu 10 January 2019 in machine-learning-engineering • Tagged with python, machine-learning, machine-learning-operations, kubernetes

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17th August 2019 - updated to reflect changes in the Kubernetes API and Seldon Core.
14th December 2020 - the work in this post forms the basis of the Bodywork MLOps tool - read about it here.

A common pattern for deploying Machine Learning (ML) models into production environments - e.g. ML models …