Top Python Jobs in Toronto

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

As a Software Developer, you'll design and launch backend features, identify efficiencies, own project implementation, and collaborate with a remote team to enhance local pizzeria operations.

Design and optimize telecom business systems, integrate AI for automation, analyze data for insights, and collaborate with teams on BSS initiatives.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

As a Partner Deployed Engineer, you will enable and support partner teams in deploying, scaling, and delivering AI solutions while leading technical training and ensuring partner success.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

As a Senior Product Engineer, you will own features from conception to delivery, collaborate with customers, and drive impactful decisions using modern technologies.

The Senior Product Engineer will lead feature development, engage with customers, and own the product cycle from design to delivery, focusing on optimizing cloud data costs.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Design, build, and support features for a monetization platform while ensuring reliability and performance as a senior backend engineer.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

As a Full Stack Engineer, you'll own the development of features from design to production, collaborate with various teams, and continuously improve the platform by solving technical challenges.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

As a Backend Engineer, you will architect, build, and deploy systems for our data science platform, collaborating with a cross-functional team to enhance machine learning practices.

The role involves developing ML systems for enterprise workflows, focusing on user understanding, task prediction, and optimizing ML pipelines. Key responsibilities include designing scalable evaluation frameworks and collaborating with teams to deliver production-ready solutions.

As a Hybrid QA Engineer, you will ensure the quality of releases through manual and automated testing across web and mobile platforms, aiding in the development process and mentoring junior team members.

As a Fullstack Software Engineer, you will develop products for the post-purchase experience by implementing features, maintaining code quality, and mentoring other engineers.

As a Full Stack Developer, you'll architect and develop a new forecast platform, focus on data engineering, and optimize energy usage through software development.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Data Analyst will analyze datasets, create visualizations, generate reports, and collaborate with teams to provide actionable insights using Power BI and SQL.