Top Python Jobs in Toronto

As a Machine Learning Engineer, you'll design and deploy ML models to optimize ads through ad ranking, bidding, and measurement, while managing the complete ML lifecycle.

The role involves designing, building, and deploying ML models for ad ranking, bidding, and optimization, with full lifecycle ownership of ML systems.

The Programmatic Insights Analyst will manage client deliverables, analyze data for insights, and drive performance measurement in media campaigns, delivering actionable results to clients.

The Automation Engineer will enhance AI-driven automation by connecting AI agent systems with business applications, while overseeing the development and integration of AI solutions across enterprise systems.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

As a Programmatic Reporting Analyst, you'll design and maintain reporting solutions, monitor KPIs, collaborate with teams, and produce actionable insights for clients.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

As a Principal Economy Designer, you will oversee the in-game economy, collaborate with teams, and optimize game performance through data analysis. Responsibilities include designing economy systems, managing pricing, and ensuring user engagement.

The role involves developing scalable software, ensuring code quality, mentoring junior engineers, and participating in agile methodologies while engaging directly with customers for feedback and defect resolution.

The Technical Lead will design cloud-native systems, mentor teams, set technical visions, and influence product roadmaps while collaborating across engineering groups.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The Product Ops Analyst manages the operational lifecycle of HTS Assist, ensuring automation and system integrations function smoothly across travel partners, while driving performance improvements through data analysis and QA.

Lead and grow a team focused on cybersecurity solutions, overseeing technical strategy, development of APIs and SDKs, while mentoring engineers and ensuring best practices.

You will design and maintain CI/CD infrastructure and build tools, enhance local development, and deliver complex features for the Development Infrastructure team.

Design, operate, and improve scalable infrastructure systems for processing millions of invoices while ensuring performance, reliability, and developer experience.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, collaborate with teams, and automate workflows in a cutting-edge AI platform.

The Data Scientist will conduct data analysis and modeling to support investment decisions, design data pipelines, and collaborate with teams to provide actionable insights.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

As a Lead Data Scientist, you will apply expertise in AI and machine learning to design and build advanced analytics systems and collaborate with teams to implement solutions that drive business value.

The Staff Data Engineer/Developer will lead data architecture improvements, develop data pipelines, and collaborate with teams to create data products.

As a Senior Machine Learning Developer, you will build and maintain ML models and pipelines, enhancing AI systems for business applications.

Oversee and optimize clients' paid social marketing campaigns, analyze data for insights, develop strategic testing plans, and foster seamless client-agency collaboration.

As a Machine Learning Intern, you will lead projects, analyze data, write efficient code, and apply various ML techniques to solve problems at Pinterest.

Interns will collaborate on technical tasks, learn from mentors, deliver well-documented code, and participate in real projects at Pinterest.