Top Python Jobs in Toronto

As a Growth Engineer, you'll analyze customer behavior, build automated systems to predict user actions, and drive product strategies using data insights.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

Lead the AI-first engineering approach, design scalable software solutions, mentor junior engineers, and drive innovative AI features.

The Head of Automation will lead the company's automation transformation, creating AI-powered solutions and building specialized teams across departments to drive operational excellence and business value.

The Sales Engineer will lead technical engagements with enterprise prospects, focusing on data modeling and implementation to deliver rapid pilots that demonstrate value and drive sales conversions.

Build software solutions for electric vehicle fleets, contributing to both web application and backend development using various technologies.

Design and maintain AI platform infrastructure, focusing on reliability, observability, and developer experience, while managing complex workloads and automation.

As a Senior Software Engineer II, you will enhance the developer tooling experience, design and build cloud services, and lead technical initiatives for a data streaming platform.

The Risk Manager will manage market and credit risks, develop strategies, conduct assessments, monitor trends, ensure compliance, and improve risk management processes.

The engineer will handle both frontend and backend development, build features for fintech and eCommerce products, and participate in an agile team environment.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

Design, build, and scale infrastructure for AI systems; maintain compute infrastructure, optimize storage, and automate workflows while collaborating with teams.

Responsible for ensuring quality through testing and automation in web and mobile platforms, involving all stages from development to launch.

The Senior Software Engineer will design and maintain data infrastructure, optimize data systems, and work with cross-functional teams to deliver innovative solutions.

The Research Scientist will develop models for natural hazards, evaluate scientific literature, clean data, and implement projects using Python and GIS tools.

As a Reliability Engineer, you'll design, implement, and maintain AWS cloud environments, ensuring systems' reliability and performance, while enhancing monitoring and incident response capabilities.

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

Design and build impactful full-stack features, collaborate with cross-functional teams, and mentor peers while ensuring high-quality code and user experience.

Analyze new account applications for potential fraud, evaluate transactional activity for irregularities, collaborate with internal teams, and communicate with customers and external stakeholders to investigate fraudulent activities.

Lead the design and development of access-related features, mentor junior engineers, and enhance backend systems for AI-driven applications.

The role involves providing data engineering support, managing data operations, enhancing data pipelines, and administering Snowflake, while adhering to KPIs and improving processes.

Develop Python scripts and Houdini nodes to enhance creative workflows. Collaborate in Agile teams, optimize deployment, and document pipeline processes.

As a Software Engineer II, you will develop computer graphics pipeline tools, implement character rigs, and collaborate with teams to enhance digital media experiences.

The Senior Backend Engineer will develop and support new data science tools, design APIs, and ensure integration with IT infrastructure, requiring 6+ years of experience in a collaborative coding environment.