Top Python Jobs in Toronto

As Manager of Advanced Analytics, you'll support Internal Audit by leveraging advanced analytics and data insights, collaborating with various teams to analyze risks and improve monitoring programs.

As an Agile Test Engineer, you will design and execute testing strategies, leverage AI in testing processes, and collaborate with teams to ensure software quality across various applications.

The Senior Solutions Engineer at BitGo will lead technical demos, manage client relationships, and collaborate on product development while deeply understanding blockchain and financial services.

The role involves ensuring the performance of AI agents in production, defining success metrics with clients, and debugging issues.

Seeking a Cracked Software Engineer to build full-stack solutions, prototype AI features, and solve complex problems in a high-ownership environment.

This role involves full-stack development, focusing on web products, architecture, and integrating AI. You'll work on product features and scalability in a collaborative environment.

The Data Scientist will develop machine learning models, analyze large datasets, support workflows, and communicate insights to stakeholders.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

The Software Engineer for Mapping at Lyft will lead projects, collaborate across teams, and write maintainable code to enhance mapping services for rideshare experiences.

Assist in designing AI conversation models for contact center agents, collaborating with various teams, and supporting project delivery.

The Pipeline TD will design, develop, and maintain production tools and systems, support artists, and optimize workflows in VFX productions.

Lead the AI Platform team, define AI strategy, deliver AI capabilities, mentor engineers, and foster a culture of innovation and collaboration.

Lead and develop enterprise-level applications with a focus on technical leadership, client-facing problem-solving, and agile collaboration. Engage in continuous learning and mentor junior developers.

Lead software engineers will build custom solutions, manage projects, mentor junior team members, and engage with Fortune-500 clients using a variety of technologies in an agile environment.

The Marketing Automation Manager will lead HubSpot initiatives, including campaign management, workflow optimization, and integrating with Salesforce, driving pipeline growth across multiple marketing functions.

Lead the delivery of scalable kdb+ solutions for financial clients. Design robust architectures, mentor developers, and drive innovation in data management.

Develop and maintain kdb+ applications, analyze time-series data, mentor junior developers, and collaborate with teams to deliver solutions.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.

As a Principal Engineer, you will lead AI-driven backend systems for audit products, ensuring scalable, reliable workflows while mentoring teams and influencing technical direction.

The role involves leading application development, system analysis, project management, and implementing AI frameworks while ensuring compliance and providing user support.

Lead the identification of trends in datasets, create dashboards, manage projects, and communicate insights to improve business performance and customer experience.

The Director leads credit risk strategy oversight, optimizing governance and analytics to enhance retail credit strategy across the consumer lifecycle while ensuring compliance and capital efficiency.

Equifax seeks an AI Engineer to develop, debug, and maintain scalable AI applications, focusing on backend logic and Agile innovation practices, while collaborating with cross-functional teams and addressing performance issues.

Lead the MLOps team focused on AWS cloud services and machine learning operations, design production-grade capabilities, and mentor other engineers.