Top Python Jobs in Toronto

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

As a Senior Machine Learning Engineer, you will design and build AI systems, focusing on recommendation and ranking systems, while collaborating with cross-functional teams to enhance ML capabilities.

The Cloud Engineer will design and deploy cloud-based media workflows, optimize rendering environments, and integrate customer production pipelines, requiring strong technical and customer-facing skills.

Lead post-silicon power characterization and correlation for semiconductor products, develop measurement strategies, and improve power architectures to meet specifications.

The role involves post-silicon power characterization and analysis for semiconductor products, collaborating with teams to ensure power and performance specifications are met.

Lead an engineering team at Robinhood to develop payment solutions, improve platform performance, and drive innovation while collaborating across departments.

The role involves leading projects in AEC data modeling and machine learning, mentoring junior engineers, and collaborating to enhance design workflows.

Lead the design and implementation of application integrations in investment management by leveraging product management skills and data orchestration tools. Support users and monitor ETL processes.

As a QA Automation Engineer, you design, develop, and execute automated testing frameworks and ensure product quality in the financial services sector, particularly in Capital Markets. Responsibilities include API testing, CI/CD integration, defect management, and mentoring.

The Associate Director will lead technology strategy, focusing on Data and AI solutions, drive innovation, and enhance customer success through collaboration and strategic partnerships.

The Operations & Programs Specialist oversees financial management, resource optimization, business intelligence, and stakeholder communication within a dynamic team to support product and engineering operations.

The Senior Data Scientist supports targeted marketing campaigns by analyzing data, developing insights, measuring performance, and mentoring team members with a focus on machine learning and statistical rigor.

The role involves designing and testing photonic systems for quantum computing, ensuring precision optical control, collaborating across teams, and generating technical documentation. A PhD in a relevant field and significant experimental experience are required.

The AI Native Engineer will embed AI into growth marketing strategies, develop AI tools for performance marketing, CRM, and landing pages, and optimize processes for the Growth team.

The Associate Software Engineer will develop and maintain software and hardware, collaborate with teams, document code, test products, and solve issues, while continuously learning and adapting to new technologies.

The Actuarial Analyst III will maintain and develop capital models, ensure regulatory compliance, execute stress tests, and prepare reports for the TD Insurance General Insurance legal entities.

The role involves installation, monitoring, and upgrading Unix systems in the SAP landscape, managing SAP environments, automating tasks, maintaining systems' operational efficiency, and ensuring compliance with business needs.

The Manager, Customer Analytics will lead a team to drive insights across the customer journey, improve customer experience, and optimize value. Responsibilities include strategic analysis, stakeholder partnerships, and developing analytics frameworks to inform business decisions.

Responsible for systems analysis, programming, and managing application development projects. It involves data processing management and consulting with users. Must ensure compliance with regulations while supporting business units and mentoring junior staff.

The Senior Pyspark Data Engineer will manage large-scale data processing systems, conduct feasibility studies, provide user support, and develop security measures while acting as a subject matter expert in applications development.

The role involves database management, developing front-end tools for automation, ensuring data governance compliance, and maintaining the Treasury's SQL database.

The Senior Data Scientist provides analytical support for campaign execution, utilizing data insights and machine learning techniques to solve business problems, establish predictive models, and lead data-driven solutions.

The Product Solution Specialist will deliver technology solutions for equity derivatives trading, enhance integration with vendor platforms, interpret risk metrics, and support trading operations while collaborating across teams.

The role involves delivering technology solutions for equity derivatives trading, requiring strong technical skills and collaboration across finance, operations, and risk management teams.

Interns will work on developing and maintaining credit models, performing quantitative data analysis, and facilitating model development processes.