Top Remote Senior Level Python Jobs in Seattle, WA

Join ServiceNow as a Senior MLOps Engineer to build and operationalize the MLOps Platform, develop self-service ML Development tooling, and drive platform adoption. Collaborate on scalable architectures and frameworks for ML applications, automate testing and deployment, and enhance user experience for ML model production. Requires 5+ years experience with programming languages like Python, R, and strong proficiency in MS Azure and DevOps tools.

As a Customer Solutions Engineer (CSE), you will be the trusted technical advisor throughout a customer's lifecycle. Your goal is to help customers be successful and derive the most value possible from their Cloudflare investment.

Join the Secure Public Cloud Platform team at Liberty Mutual as a Senior Software Engineer focusing on native cloud solution development and platform configuration on the Azure platform. Translate client requirements into technical designs and work on projects, enhancements, and support needs.

Design and implement improvements to Python development ecosystem and workflows at Cruise. Lead complex projects, participate in planning and code reviews, drive software engineering best practices, mentor team members, and contribute to team culture. Remote work accepted.

Lead the design, development, and implementation of generative AI solutions. Collaborate with cross-functional teams to translate business requirements into technical specifications. Architecting high-quality, scalable, and efficient software systems.

Design, simulate, and optimize photonic integrated circuits for quantum computing systems at IonQ. Work with a cross-functional team to innovate the trapped-ion quantum computer utilizing integrated photonics technology. Contribute to building and maintaining high-quality design workflows to enable scalable quantum computing technology.

Seeking a Staff Machine Learning Platform Engineer to build and implement cutting-edge machine learning infrastructure, contribute to AI solutions, and collaborate with various teams. Requires 7+ years of ML Platform/ML Ops experience, proficiency in Python and ML tools, knowledge in LLM applications, and experience in infrastructure building using Kubernetes, Terraform, and AWS.