Top Python Jobs in Toronto

The role involves leading the development of ML/AI systems, designing data pipelines, deploying ML models, and collaborating across teams to establish best practices.

Lead the development and delivery of AI-driven product capabilities, transforming data into actionable insights while mentoring a high-performing team of data scientists and engineers.

This role involves assisting app publishers with ad revenue strategies, managing user acquisition campaigns, analyzing performance data, and collaborating with product teams to optimize solutions.

Conduct privacy risk assessments, build relationships with teams, analyze data flows, and develop privacy policies for Lyft's products and services.

As a Software Engineer for Native Apps, you will drive initiatives across product areas, collaborate with teams, and build scalable features. Deep backend experience is required.

The role involves defining and verifying vehicle platform requirements, enhancing capabilities, and ensuring safety compliance for self-driving technologies, while leading test campaigns and collaboration.

The Solutions Architect at Halcyon advises customers on cybersecurity solutions, conducts assessments, and collaborates with sales, product, and engineering teams to drive revenue and customer satisfaction.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

Build and operate low-latency, secure cloud and edge systems for real-time video streaming, AI analysis, and remote control of industrial devices. Ensure reliability, testing, deployment, and work closely with hardware and ML teams.

The Senior GTM Analyst will design dashboards, define KPIs, conduct data analyses, and support forecasting and planning to drive business growth.

This internship involves developing machine learning approaches for biological data, designing experiments, collaborating on research, and presenting findings.

The Sr. Software Engineer II will design, develop and maintain distributed systems, ensuring scalability, reliability, and performance while leading and mentoring team members.

Lead and scale the Punchh software engineering organization (120+ engineers), own engineering strategy and P&L, drive hiring/onboarding, enforce technical standards, improve product quality, and ensure cross-geography collaboration and operational excellence.

The Pricing Actuary will analyze rate changes, collaborate with teams to influence business decisions, and develop pricing models in Python. Responsibilities include evaluating profitability and enhancing actuarial data pipelines.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

The Site Reliability Engineer II role involves building and maintaining cloud-native services, ensuring high reliability, managing cloud platforms, and fostering collaboration within engineering teams.

The AI Enterprise Applications Specialist manages and supports AI-driven applications in Microsoft 365, focusing on Copilot integrations, user enablement, and governance, ensuring effective adoption and optimization.

The role involves providing escalation support for customer technical issues, creating documentation, and collaborating with internal teams, with a strong focus on customer service and technical solutions.

As Applied Analytics Lead, drive customer impact through analytics, guide product development, manage customer relationships, and scale analytical capabilities to enhance utility operations.

The Business Data Analyst will manage customer relationships, maintain data integrity, write SQL queries, and support data analysis and troubleshooting for business needs.

The Senior Analyst, Business Systems will optimize workflows through automation, measure team capacity, deploy AI tools, and manage process redesigns to improve efficiency.

Lead the design and governance of the data architecture for Agiloft's AI operations, ensuring data quality and engineering standards support diverse AI use cases. Oversee cross-departmental data modeling, data integrations, and development of AI-focused data solutions to enhance contract lifecycle management.

Design and develop backend systems for a Trading Platform, focusing on low-latency execution, risk management, and performance optimization using advanced Java techniques.