Top Python Jobs in Toronto

The Optical Module Test Engineer will qualify new optical modules, analyze test results, and collaborate across teams to meet product specifications.

The UX Researcher will conduct user research across the payments user journey, collaborating with various departments to influence product strategy and growth initiatives.

Design and develop embedded software for satellite networking systems, focusing on reliability and protocol optimization, while ensuring quality through testing tools and CI/CD practices.

As an ASIC Verification Engineer, you will verify SoC designs, create tests, review results, and drive verification convergence using UVM methodologies.

The Manager of Supply Chain Data and Automation will lead data governance, automation strategies, and analytics initiatives to enhance decision-making and operational efficiency across the supply chain.

The Principal Software Developer will architect and evolve backend systems using Node.js and Python, design RESTful APIs, lead teams, and maintain high reliability and performance in a scalable environment.

Lead and manage the Applied AI and Analytics team to create production-grade AI features and analytics infrastructure, driving business outcomes through data and ML solutions.

As CTO, you will architect a data-intensive asset management platform, lead technical strategy, integrate data sources, and build a scalable engineering team.

The Senior Financial Data Analyst will analyze financial data, develop financial models, provide insights to stakeholders, and drive performance management reporting.

The Senior Financial Data Analyst will drive financial reporting, analysis, and develop models to aid strategic decisions while ensuring data governance and quality.

The Staff Data Engineer will design and maintain scalable data pipelines, lead a team of engineers, and ensure data integrity and governance at Jobber.

As a Full Stack Engineer, you will work on product initiatives, maintain relationships with product teams, and build features across the stack using various technologies.

As a Staff Software Engineer, you'll build scalable systems for the Tokenization Engine and mentor juniors, collaborating with cross-functional teams to enhance system performance and stability.

The Senior Data Quality Analyst will enhance data quality in the organization through analysis, collaboration with stakeholders, and implementation of data governance strategies.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

The role involves designing and implementing a data and ML platform, optimizing data ingestion, and driving ML workflows, ensuring scalability and reliability.

The role involves architecting deep neural networks for object detection and tracking, optimizing performance, and developing data strategies in a low-data environment.

Join a talented engineering team to build innovative financial data products and APIs, focusing on full-stack development and user interface design.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Principal QA Developer leads the quality strategy, builds test automation frameworks, and partners with engineering to enhance reporting reliability and system integrity.

Lead data engineering efforts, manage ETL pipelines, ensure data integrity, collaborate with BI, and drive strategic growth with data-driven insights.

Lead scalable data engineering efforts to build efficient ETL processes and provide reliable data to multiple business units. Collaborate with cross-functional teams to enhance data quality and support analytics and business intelligence initiatives.

The Senior Analytics Developer leads the development of data pipelines, transformations, and models in a data lake, collaborating with stakeholders to create data solutions and ensuring data accuracy.

In this role, lead the development of scalable data engineering solutions, optimize ETL processes, and enhance data integrity for cross-functional teams, ensuring robust analytics support for company growth.

Lead data engineering efforts by building scalable ETL processes, managing data lakes, and collaborating with BI and analytics teams to enhance data-driven decision-making.