Top Python Jobs in Toronto

The role focuses on analyzing and improving client marketing performance using statistical methods, data visualization, and customer segmentation techniques.

As a Software Developer, you will implement backend features, learn cloud service development, participate in Agile processes, and contribute to team documentation and code quality under mentorship.

The Python Developer will create Gen AI solutions, collaborate in Agile teams, write maintainable code, manage project delivery, and ensure compliance with standards.

The Senior Database Administrator is responsible for administering databases, ensuring availability, performance optimization, disaster recovery, and cloud solution support while providing strategic guidance and documentation.

Analyze and drive pricing strategy by conducting thorough pricing analytics, translating insights into business strategy, and collaborating with various teams to improve data infrastructure.

As a Principal Machine Learning Engineer, you will explore AEC data, develop ML pipelines, collaborate with interdisciplinary teams, and mentor others, while focusing on impactful insights and product development.

The role involves designing and developing data engineering solutions, managing data pipelines, ensuring data quality, and collaborating with various teams to meet business needs.

As a Lead Test Engineer, you will design test strategies, implement automation, evaluate user experience, and ensure overall feature quality while collaborating with cross-functional teams.

The postdoctoral researcher will develop computational pipelines for biomedical data analysis in cancer research, focusing on machine learning and statistical methods.

As a Senior Software Engineer, you'll develop software solutions, write clean code, collaborate with teams, and ensure system performance and reliability while leveraging AI technologies.

The Senior Database Administrator manages production and DR databases, ensuring reliability, performance optimization, security compliance, and cloud solutions. They lead incident resolution and provide technical guidance while documenting standards and conducting evaluations of new technologies.

The Cloud Engineering Manager oversees daily infrastructure operations, ensuring reliability and security of cloud systems while leading a team of engineers and collaborating on projects.

The System Integrator will program and implement control systems, collaborate on system integration projects, conduct tests, and ensure compliance with standards.

The System Integrator will develop client/server communication strategies, program PLCs, RTUs, SCADAs, and manage projects in renewable energy systems, ensuring client satisfaction along with testing and troubleshooting.

As an Application Support Consultant, you will resolve technical issues for applications, collaborate with business analysts and developers, and monitor services to enhance efficiency. You will also manage relationships with stakeholders and external vendors to ensure service delivery.

Develop and extend device software and firmware for photonic AI processors, collaborating with multidisciplinary teams on system integration and control mechanisms.

The Infrastructure DevOps Lead Analyst role involves designing and supporting CI/CD pipelines, automating processes, and ensuring application platform stability, scalability, and security. Responsibilities include troubleshooting, coding in Python, collaborating with teams, and guiding junior analysts.

The Data Engineer will develop data pipelines, manage databases, ensure data quality, optimize performance, and collaborate with teams to meet business needs.

The Senior Business Insights Analyst will support Autotesting for Personal Lending, focusing on data-driven monitoring of credit card programs to ensure compliance and improve customer experience. Key responsibilities include creating automated scripts in Python, analyzing data for process improvements, and collaborating with partners to enhance operations and prevent issues.

The Associate Full-Stack Software Engineer will collaborate with teams, develop and maintain software components, and enhance system stability through problem analysis.

Lead the design, development, testing, and implementation of new features for scalable software solutions, focusing on AI and distributed systems.

The Manager – Analytics & Reporting will lead the enhancement of data visualization and analytics for business decisions, developing reporting tools and AI solutions. Responsibilities include dashboard design, data analysis, and collaboration with stakeholders on improved analytics solutions.

Lead the architecture and development of a next-gen Business Intelligence platform on AWS, implementing robust data solutions and guiding engineering teams.

The Staff Software Engineer will lead the design and delivery of AI-driven backend systems, influencing technical strategy, driving cross-team initiatives, and mentoring engineers.

As a Senior Applied Researcher, you'll develop machine learning models for advertising, analyze data for insights, and collaborate cross-functionally to enhance ad performance and guide advertisers.