Top Python Jobs in Toronto

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.

The Data Analyst will work on analytics projects, develop BI solutions, collaborate with stakeholders, and analyze data trends and KPIs to drive business decisions.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

Lead firmware development for UCIe chiplet portfolio, collaborate with teams on validation, optimize design, and mentor engineers.

The FPGA Development Tools Engineer will develop algorithms and models for FPGA timing and device mapping, optimizing for performance and working closely with hardware teams.

Seeking a Software Developer to design and develop components in .NET, C#, and other languages, working closely with product and QA teams.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

As a Data Engineer at Homebase, you'll design, develop, and optimize data pipelines, manage data models, and enable AI-powered features, ensuring scalable and reliable data processes. You'll also partner with teams to drive continuous improvement and own projects from planning to execution.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

The Data Scientist will analyze data, create dashboards using Power BI, model data in SQL, and develop predictive models to support decision-making within the firm.

Provide technical support for MongoDB to customers, resolving problems, assisting fellow engineers, and contributing to content creation and product strategy.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

The Linux Systems Specialist - Sr. will solve technical problems, manage client systems and enhance infrastructure while maintaining strong customer relationships.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Head of Data will lead Float's data organization, unify data architecture, enhance decision-making quality, and drive customer insights within a fast-growth startup environment.

As a Machine Learning Intern, you will lead projects, analyze data, write efficient code, and apply various ML techniques to solve problems at Pinterest.

The Early Career Data Scientist/Economist will use their expertise in economics and data science to drive strategic decision-making, develop forecasts, and collaborate on analytics strategies at EvenUp.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Staff Machine Learning Engineer will design ML systems, mentor engineers, work on AI product development, and improve legal data processing.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

The Staff Machine Learning Engineer will develop advanced Document AI models, solve complex modeling challenges, lead LLM fine-tuning, and provide leadership in a collaborative environment.