Top Python Jobs in Toronto

Lead end-to-end Saviynt EIC implementations, configure core modules, develop connectors and integrations, and mentor junior engineers while ensuring compliance with governance requirements.

The Growth Marketing Analyst will build dashboards, analyze customer growth funnels, interpret experiments, and present actionable insights to enhance customer acquisition and retention strategies.

As a backend engineer, you'll design and implement scalable services, collaborate with cross-functional teams, innovate data security solutions, and adapt to changing business needs.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

The AI/ML Engineer will develop and maintain AI/ML pipelines, leverage Generative AI technologies, and collaborate with teams to integrate solutions.

The Principal Data Architect leads the design of cloud-based data solutions, defines strategic roadmaps, conducts technical interviews, and oversees data standards implementation.

As a Staff Engineer, you'll enhance web tools for utility companies, ensuring scalability and efficiency in vegetation risk management and leading cross-team technology initiatives.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

Build and operate core runtime services for Glean's AI agents, focusing on performance, reliability, and integration with leading LLM providers.

The Senior/Staff Applied Scientist at Glean will enhance document indexing and retrieval algorithms, manage A/B testing platforms, and evaluate generative AI use cases, leveraging strong statistical and machine learning skills.

Design and implement scalable, secure backend systems in a cloud-native environment, ensuring high performance and reliability while mentoring junior engineers.

Seeking a Staff Engineer in QA Automation with 5+ years in manual and automated testing, proficiency in multiple scripting languages, and experience with various automation tools and frameworks, working agile methodologies.

As an Associate Machine Learning Developer, you will assist in building and scaling our agentic platform, work on frontend and backend development, and collaborate with teams to develop AI-driven solutions.

As an Associate Software Developer, you'll develop and maintain code, troubleshoot bugs, implement features, and collaborate with teams while focusing on both frontend and backend systems.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

The intern will build data solutions and infrastructure for a credit risk analytics platform, focusing on AI integration and agile project delivery.

Responsible for driving DevOps practices, managing cloud infrastructure, optimizing CI/CD pipelines, and implementing SRE principles for enhanced reliability and efficiency.

The Senior Data Engineer will design and maintain data pipelines, optimize data warehouses, integrate diverse data sources, and enforce data quality SLAs while mentoring junior engineers and participating in architectural planning.

Responsible for developing scalable Python-based applications, building data pipelines, and collaborating with teams for investment platforms. Focus on backend development, API creation, and data integration.

The QA Engineer will design and develop automated test suites, perform testing across data and application layers, validate data integrity, and support UAT cycles in Agile environments.

The Senior Developer, Enterprise AI will lead the design and implementation of AI-enabled workflows, collaborating with cross-functional teams to develop secure and scalable solutions while mentoring junior developers.

Conduct security assessments, perform penetration testing, develop security standards, and communicate findings effectively to clients and management.

The QA Developer will develop and maintain automated tests across web, mobile, and API layers, integrating quality practices into the development cycle.

The role involves conducting security assessments, manual penetration testing, collaborating with clients, and developing security standards while supervising engagement management for other staff.