Overview Canonical is a leading provider of open source software and operating systems to the integral enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. The company is founder led, profitable and growing, with 1000+ colleagues in 70+ countries and most roles based remotely. We hire Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
As a software engineer on the team, you''ll collaborate on an end-to-end data analytics and MLOps solution composed of popular, open-source machine learning tools. You may also work on workflow, ETL, data governance and visualization tools, or data warehouse solutions. Your team will own a solution from the analytics and machine learning space and integrate with other teams to build a comprehensive data platform. These solutions may run on servers or in the cloud, on machines or on Kubernetes, on developer desktops,



or as web services.
Location: This initiative spans many teams that are home-based and in multiple time zones. Develop understanding of the Linux stack, from kernel and networking to the application layer
Design, build and maintain solutions deployed on public and private clouds and local workstations
Work with Kubernetes and machine-oriented open source applications
Debug issues and interact with upstream and Ubuntu communities
Professional or academic software delivery using Python
Undergraduate degree in a technical subject or a compelling alternative narrative
Passion for technology demonstrated by personal projects
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Appreciation for diversity and ability to work in a multi-cultural, multi-national organization
Hands-on experience with machine learning l

📌 Graduate Software Engineer Python AI ML (Salamanca)
🏢 Canonical
📍 Salamanca