Top Python Jobs in Toronto

As a Senior DFT Engineer, you'll develop and maintain DFT methodologies, create automated verification, and lead DFT engineers.

As a Machine Learning Research Intern, you will contribute to visual generative model development, translating research into code and collaborating with peers to enhance machine learning applications in design.

The IT Application Specialist is responsible for the design, configuration, implementation, and maintenance of IT application systems, ensuring security and availability. They troubleshoot application issues, improve existing applications, and communicate with teams to support business needs.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

Join the R&D team to develop software solutions for venture capital firms, focusing on enhancing Limited Partner experiences and managing complex systems.

The Senior Software Engineer will develop and manage data and analytics projects, ensuring data integrity and system performance while mentoring team members.

As a Senior Data Engineer, you'll develop and deliver technical projects, manage data pipelines and infrastructure, and mentor team members at Faire.

Seeking a Senior AI/ML Engineer to design and develop AI-native systems using Generative AI and multi-agent frameworks for real-time networking solutions. Responsibilities include modeling agent behaviors, developing LLM-driven agents, building ML models, and collaborating on AI projects.

Develop full stack solutions for GenAI applications, optimizing backend services and creating user-friendly interfaces while mentoring junior developers.

The Senior QA Engineer will own quality assurance for new features, perform manual and automated testing, and collaborate with teams to ensure high product quality in fast-paced environments.

The role involves developing innovative video creation tools using generative models, collaborating with a team, and enhancing user experiences through applied research in computer vision.

As a Data Scientist II, you'll develop data-driven solutions using machine learning, collaborate cross-departmentally, and maintain data mining tools to deliver actionable insights.

This role involves designing, building, and maintaining data integration and analytics infrastructure using Microsoft Azure, focusing on hands-on engineering and solution architecture.

Develop AI solutions to enhance developer productivity, create agentic systems for code review, and mentor junior engineers. Design workflows and evaluate systems using statistical models, ensuring integration with developer tools.

The role involves developing scalable software, ensuring code quality, mentoring junior engineers, and participating in agile methodologies while engaging directly with customers for feedback and defect resolution.

Lead quality assurance and automation strategies, mentor engineering teams, develop automated testing frameworks, and drive continuous improvement in testing methodologies.

Lead model development projects focusing on credit risk scorecards, analyze data, develop model documentation, and communicate findings to stakeholders.

The Staff Software Developer will design, build, and maintain full-stack features for learning tools at Coursera, focusing on APIs, user interfaces, and integrating AI suggestions, while providing technical leadership.

The Senior Backend Developer will design and maintain automated infrastructure, manage CI/CD pipelines, develop scripts, and collaborate with engineering teams to enhance developer tooling and platform engineering initiatives.

The Sr. Data Engineer will develop data infrastructure, maintain data pipelines, enforce data governance, and integrate data to enhance product performance and decision-making.

The Integration Developer will design and implement integrations between enterprise applications and AWS services, maintain performance and security, and contribute to agile development processes.

The Principal DevOps Engineer will design and manage cloud infrastructure, implement CI/CD pipelines, ensure security governance, and lead a team in DevOps practices.

As an Integration Developer, you will design and optimize integrations across enterprise systems using AWS and modern programming languages, ensuring reliability and performance while collaborating with cross-functional teams.

The Tableau Engineer will develop interactive dashboards, manage data pipelines, optimize existing tools, and collaborate with stakeholders to meet analytics requests. They will also ensure data governance and present findings to leadership.

As a Principal Backend Engineer I, you'll define architecture, lead technical initiatives, develop scalable features, and enhance coding practices while collaborating with cross-functional teams.