Python & Kubernetes Data & ML Engineer

Canonical; England; Remote; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Learning budget

Annual compensation review

Paid holiday

Maternity and paternity leave

Employee Assistance Programme

Travel opportunities

Priority Pass

Job summary

Canonical is seeking Python and Kubernetes specialists to advance data analytics, ML, and workflow solutions. You will contribute to end-to-end data platforms, ML tooling, and distributed systems across clouds and local environments.

The role supports a remote, globally distributed team with in-person meetups a few times a year. You will collaborate with engineers, data scientists, and product managers to deliver robust, scalable solutions.

Qualifications

• Professional or academic software delivery using Python.
• Strong Linux (Debian/Ubuntu) background and scripting.
• Experience with container technologies (Docker, Kubernetes, etc.).
• Familiarity with ML tooling and data pipelines for analytics.
• Proven ability to work in distributed, cross-functional teams.

Responsibilities

• Develop end-to-end data analytics and MLOps solutions.
• Collaborate on data pipelines, orchestration, and model tooling.
• Design and deploy solutions across clouds and on-premises.
• Engage with open-source communities and upstream projects.

Skills

Python

Linux

Docker

Kubernetes

Kubeflow

MLFlow

DVC

Feast

Education

Undergraduate degree in a technical subject

Tools

Kubeflow

MLFlow

DVC

Feast

Apache Superset

Airflow

Job description

Canonical is seeking Python and Kubernetes specialists to advance data analytics, ML, and workflow solutions. You will contribute to end-to-end data platforms, ML tooling, and distributed systems across clouds and local environments.

The role supports a remote, globally distributed team with in-person meetups a few times a year. You will collaborate with engineers, data scientists, and product managers to deliver robust, scalable solutions.