Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical Python and Kubernetes Software Engineer - Data, AI/ML & Analytics 4
Our Customer is one of the worlds largest investment management companies. Based in Southern California, our client manages close to $2 trillion in assets and is looking for a new partner to participate in a full
Distributed Systems Software Engineer, Python / Go Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical Distributed Systems Software Engineer, Python / Go 3 months ago Be among the first 25 applicants Join
Our Customer is one of the worlds largest investment management companies. Based in Southern California, our client manages close to $2 trillion in assets and is looking for a new partner to participate in a full
Join to apply for the Developer Relations Engineer role at Canonical 2 days ago Be among the first 25 applicants Join to apply for the Developer Relations Engineer role at Canonical Get AI-powered advice on this
We are a fast growing organization, always looking for new members to our family. INVOKE provides the technology, implementation, and lifecycle expertise to solve business challenges through the lens of intelligent automation technologies like Robotic Process
Information Technology, Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science,
Project description We are looking for an experienced AI Engineer to design and deliver scalable Gen AI solutions. The role involves building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as LLM pipelines,