Kraken
A Machine Learning Engineer on Kraken's AI Foundations team responsible for building shared ML and AI platforms that enable engineering and product teams to adopt machine learning across the company. The role focuses on delivering production-ready infrastructure, tooling and patterns that make AI easy to use and hard to misuse. This is a delivery-focused position at the intersection of platform engineering, applied ML and developer enablement.
Headquarters
London, England, United Kingdom
Company Size
201-500 employees
Founded
2019
Kraken is a cloud‑native operating system for utility companies that centralizes customer experience, asset optimization, and field workforce management. Built to integrate smart meter and grid data, Kraken provides modular APIs, workflow orchestration, analytics and ML tools to automate billing, outage handling, dispatching and asset maintenance. Developed within the Octopus Energy Group, it’s designed to help utilities reduce operating costs, improve reliability and deliver faster, more personalised customer service. Utilities license Kraken to replace legacy stacks and accelerate digital transformation across customer, network and field operations.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Kraken .
Kraken didn’t post a salary, so this is our estimate from similar listings.
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