Top Python Jobs in Toronto

Design and implement software solutions in NVIDIA's Performance Lab, focusing on AI, data engineering, and enhancing performance data generation.

Seeking a Full-stack Software Developer Specialist to design and deliver scalable applications, focusing on data engineering with Python and Databricks. Key responsibilities include developing data pipelines, implementing APIs, testing, and collaborating within a team structure.

As a Creative Technologist, you will bridge creative vision and technical execution, prototyping digital experiences while collaborating with teams and ensuring functionality.

Develop and maintain Python applications, build APIs, create user interfaces with React, and manage databases while collaborating in a cloud environment.

As a Senior AI Developer, you'll design and develop components, optimize platforms, mentor team members, and enhance productivity. You'll also be involved in testing and ensuring quality delivery while staying aware of AI concepts and best practices.

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

As a Senior Backend Engineer, you'll own the algorithms and infrastructure for ads systems, collaborating with Data Science to deploy ML models and enhance marketplace efficiency.

Lead Data Scientist responsible for designing and implementing data-driven solutions, leading teams, and collaborating with stakeholders on AI projects.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Senior Data Engineer will design and maintain scalable data systems, optimize workflows, ensure data quality, and mentor other engineers while collaborating across teams to enhance data access and product performance.

Design electrical systems for Block hardware products, collaborate with various engineers, and support manufacturing with occasional travel.

The Data Engineer will design, develop, and manage data pipelines, automate infrastructure, and collaborate on data solutions while ensuring compliance with data regulations.

The Senior Data Scientist will analyze data to drive product innovation, develop statistical methodologies, and collaborate across teams to enhance products at Pinterest.

The Full-Stack Software Engineer will design, develop, and maintain web applications, participating in architectural discussions and conducting code reviews while collaborating with multi-functional teams.

As a Data and AI Engineer Catalyst, you will design and build data engineering solutions, maintain data pipelines, collaborate with teams, and apply best practices in data quality while engaging with the AI community.

The Data and ML Engineer will gather, transform data, develop ML solutions, optimize pipelines, ensure data quality, and collaborate on AI product design while participating in a two-year catalyst program.

Join Sanofi's Data Scientist Catalyst program to enhance your skills in AI and data science, working across various projects in healthcare and pharmaceutical domains. Build AI products while learning from industry experts.

The Senior Software Engineer will design robust APIs and services for financial operations, mentor peers, and collaborate on projects in a fast-paced environment.

The Senior Data Science Engineer develops tools for AI, enhances analytics solutions, and educates others on data best practices, collaborating with teams for improved data utilization.

As a CFO Advisor Supervisor, you'll oversee finance projects, optimize finance functions, mentor team members, and engage in business development.

The Software Engineer Intern will work on technical challenges, collaborate in teams, and develop engineering solutions using skills in C/C++ and Python.

Develop and enhance services and UIs for payment systems, manage software development life cycles, debug code, and implement testing practices.

The Cloud Operations Senior Specialist manages and optimizes cloud environments while ensuring security, reliability, and operational excellence. Responsibilities include troubleshooting, driving automation, supporting migrations, and collaborating with teams.

As a Senior Site Reliability Engineer, you'll manage HPC infrastructure, optimize operations, automate tasks, and support engineering and research teams.

Build and maintain pricing interfaces and backend services for subscriptions and payments, modernizing systems and improving user experiences.