Top Python Jobs in Toronto

The Data and Analytics Lead will enhance proprietary datasets, develop analytical models, manage data, and collaborate on business analysis within the Private Market Valuations team.

As a Machine Learning Intern at Pinterest, you will lead ML projects, analyze data, build models, and collaborate with teams to solve complex problems.

The Senior Threat Hunter is responsible for identifying and responding to cyber threats, developing detection strategies, and analyzing security incidents using advanced technologies.

Lead initiatives to enhance developer infrastructure by architecting systems, improving CI/CD pipelines, and mentoring engineers. Focus on operational excellence.

Lead the design, implementation, and management of enterprise data storage and network infrastructure, ensuring security, availability, and performance. Mentor team members and participate in 24/7 on-call support.

The Manager of Audience Analytics executes audience strategies, manages data analysis projects, and provides insights to optimize marketing campaigns, mentoring junior analysts.

The DataBricks Architect will design end-to-end data solutions, develop data pipelines, collaborate with various teams, and provide technical support in a pharmaceutical environment.

The Manager, Data Science will lead a team to develop AI and machine learning models, support product features, and drive data applications across the organization.

The Data Engineer will design and develop a Dynamic Data Engineering framework, enhance data lake platforms, and ensure accuracy of data for analysis and reporting.

Lead a team of engineers to deliver AI solutions, managing deployments and collaborating with various teams to ensure successful client interactions.

Develop and deploy autonomous agents within the North AI workspace platform, collaborating with customers and leading end-to-end deployment in cloud environments.

The Senior Data Scientist will design and maintain metrics, reports, and dashboards, develop algorithms, conduct data analysis, and collaborate with teams to enhance business decisions.

Design, configure, implement, and maintain Geotab's IVR and IT applications, focusing on security, operational efficiency, and client satisfaction while leading projects and mentoring peers.

The Data Scientist will use advanced analytics and AI to drive value creation in a portfolio company, focusing on customer insights, operational optimization, and targeting strategies.

As a Principal Engineer, you will drive technical vision, lead architecture, provide guidance, and innovate within the team.

As a Staff Engineer at Newton, you will lead the development of secure, scalable systems, mentor engineers, and drive best practices in software development and DevOps.

This role involves bridging business and technical teams, managing BI tools, optimizing data workflows, and ensuring reliable reporting practices.

As a Senior Developer, you'll lead design and implementation of software features, mentor juniors, conduct code reviews, and enhance system performance.

The Senior Software Engineer develops and supports complex insurance systems, coordinates project team activities, and ensures application functionality while optimizing processes and workflows. Requires strong communication and technical skills across various technologies.

Develop and validate diagnostics programs for ASICs and systems, collaborating with various teams to ensure high-quality performance of AI compute solutions.

As a Senior Backend Engineer, you'll enhance core algorithms and infrastructure for ad systems, developing ETL pipelines and mentoring engineers.

Develop SaaS applications with a focus on backend architecture, AI/ML integrations, and secure systems. Lead initiatives in generative AI technologies and collaborate across teams.

As a Senior Full-Stack Engineer, you'll develop scalable SaaS applications, integrate AI/ML solutions, and manage backend and frontend systems to tackle complex challenges for enterprise clients.

The Senior Backend Developer will design and maintain server-side applications, collaborate on API integrations, and mentor junior developers. They will ensure high performance and scalability of applications and stay updated on industry trends.

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.