Top Python Jobs in Toronto

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

The program develops analytical expertise through two 12-month rotations, focusing on data science, business intelligence, and insights for business growth at Canadian Tire Corporation.

Develop embedded firmware for telematics devices, write tests, collaborate on architecture, debug firmware, and improve testing tools.

The Technical Support Engineer resolves client issues, maintains customer relationships, contributes to documentation, and provides on-call support while ensuring high customer satisfaction through proactive problem-solving.

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 Analyst will analyze energy market data to forecast peak demand, improve forecasting models, and collaborate with cross-functional teams to optimize battery energy storage operations.

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.

As Director of Engineering, you will lead teams in developing advertising bidding algorithms, ensuring high-performance culture, and fostering collaboration across functions. You will guide technical decisions and drive operational excellence, while mentoring the next generation of engineering leaders.

Lead and mentor a team of engineers, develop scalable systems for advertising algorithms, and ensure seamless project execution across teams.

The Senior Software Developer will lead AI/ML solution development, optimize infrastructure, and enhance CI/CD pipelines while collaborating with cross-functional teams.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

As a Data Engineer at ODAIA, you'll design and implement scalable data solutions, manage customer data integration, and support analytics capabilities while collaborating with cross-functional teams.

As a Growth Analyst, you will analyze data, uncover insights for strategic growth in eCommerce, monitor key metrics, and collaborate with various teams to drive initiatives.

As a Senior Software Engineer, you will own complex safety projects, build systems for content moderation, and collaborate with multiple teams to ensure user safety on Discord.

As a Senior Engineer on the Safety Experience team, lead product development to enhance user safety on Discord, ensuring regulatory compliance by building and maintaining robust APIs and backend services.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead the Retention Analytics team, providing actionable insights, driving retention strategies, forecasting performance, and managing a team of analysts to optimize customer retention.

Design and implement web applications, mentor junior developers, improve consulting practices, and communicate with clients to solve technical challenges.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The GTM Engineer will design and maintain GTM workflows using Clay and other tools to improve sales and marketing functions, focusing on data integrity and operational efficiency.

As a Senior Full Stack Engineer, you'll develop user-facing features and back-end infrastructure for AI agents, ensuring quality and scalability in a collaborative environment.

As a Software Engineer at PlanetScale, you'll design and build scalable database systems, optimize performance, and collaborate on complex engineering challenges.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As an Enterprise Sales Engineer, you will advise prospective customers, showcasing the value of Sardine’s platform through customized demos, completing RFPs, and collaborating with internal teams to improve product offerings.

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