Top Python Jobs in Toronto

Lead ownership of Dapster's robotic system, writing code for sensors and interfaces, integrating devices, and contributing to foundational technology.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

As an Engineering Manager for Lithic, you will lead the Issuing team to ensure high reliability of card and account lifecycle systems, manage engineering staff, and oversee feature delivery and operational excellence.

As a Technical Customer Support Specialist, resolve complex issues for B2B customers, provide technical support in Mandarin and English, document processes, and identify product gaps to enhance the user experience.

The Senior Marketing Analyst will measure marketing performance, provide analytical reporting, collaborate with teams, and create data pipelines to support marketing strategies at Strava.

This role leads compliance automation within the GRC function, managing integrations, designing AI-driven workflows, and ensuring continuous compliance monitoring and risk management.

Lead a team of forward deployed engineers to embed with application teams, drive AWS cloud-native application modernization, adopt AI-assisted SDLC practices, implement IaC and CI/CD, mentor engineers, and feed improvements back to the central engineering factory.

Lead and manage a team of engineers in the Growth Platform, focusing on building systems that enhance user engagement and contribute to company growth. Collaborate with product teams and utilize AI tools to optimize productivity and project delivery.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

As a Senior Analyst, you will deliver data-driven analytics and support investment decision-making at OMERS, focusing on portfolio analytics for capital markets.

As a Site Reliability Engineer at Air Apps, you'll enhance system reliability through automation, monitoring, and performance optimization, collaborating with development teams to build resilient cloud solutions.

As a Release Engineer, you will manage release pipelines, ensure smooth software deployment, automate processes, and collaborate with engineering teams to enhance release efficiency and reliability.

As a QA Engineer, you will ensure app quality and performance, develop automated tests, and identify bugs while collaborating with cross-functional teams.

The Business Systems Analyst will design, develop, and support ERP solutions, bridging business needs with technical delivery through data and narrative analysis.

The Senior Actuarial Analyst will analyze trends in affinity operations and claims, develop analytic tools, and provide actionable insights to stakeholders.

Develop and support enterprise applications using Microsoft Power Platform and Azure, focusing on Dynamics 365 integrations and full-stack development with modern technologies.

The Associate Manager, Data Scientist will oversee insights generation and advertising measurement, manage projects, support team members, and collaborate to enhance data science models and processes.

The role involves designing and optimizing data pipelines in Azure Databricks, implementing CI/CD, and maintaining data governance. Candidates must have experience with data engineering and strong Azure skills.

As a Software Engineer at Zip, you'll design and build core products and features, collaborate with teams, write high-quality code, and develop AI-driven features while tackling complex technical challenges.

The DevOps Engineer role involves supporting infrastructure operations, resolving deployment issues, maintaining CI/CD pipelines, and collaborating on continuous improvement initiatives.

The Sales Operations Specialist will optimize sales processes, support day-to-day management of sales tools, analyze performance metrics, and provide strategic insights to enhance growth.

The Chief Scientist will lead advancements in Physical AI by developing robotic foundation models and integrating feedback into scalable systems. Responsibilities include designing experiments, collaborating on research outputs, and ensuring system coherence across robotics applications.

As a Senior Data Engineer at FreshBooks, you will design and build scalable data pipelines on GCP, partner with multiple teams, and mentor engineers.

As a Senior Machine Learning Engineer, you'll manage the ML lifecycle, develop ML models, collaborate with teams, and optimize systems for production deployment.