Top Python Jobs in Toronto

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

Lead and manage the MCP and Agentic AI engineering teams, overseeing project execution, technical vision, and team development while integrating AI technologies into products.

As a Technical Manager, you will oversee a team, manage engineering projects, attract talent, and ensure system integrations for FinOps efficiency.

As a Software Engineer, you will build internal tools, enhance user-facing products, collaborate with other engineers, and adopt new technologies.

As a Senior Backend Engineer, you will build high-quality APIs using Python and Go, improve internal systems, and work with diverse datasets in a collaborative team.

The AI/ML Engineer will design and maintain scalable ML infrastructure, implement ML technologies, and optimize ML systems, collaborating with cross-functional teams to enhance Okta’s AI/ML capabilities.

As a Software Engineer for Native Apps at Snowflake, you'll drive initiatives across the tech stack, collaborate with teams, and contribute to building scalable, high-performance features.

The Senior Offensive Security Engineer leads Red Team operations, performs penetration testing, and collaborates across teams to improve security measures. Responsibilities include threat modeling, exploiting vulnerabilities, and mentoring team members while communicating effectively with various stakeholders.

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

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

The Databricks Engineer designs, develops, and optimizes data solutions using Databricks, focusing on big data pipelines, ETL workflows, and collaboration with teams to enhance data-driven insights.

The Data Engineer will design and maintain ETL pipelines, work with Snowflake for data warehousing, ensure data quality, and collaborate on analytics initiatives.

The ML Developer will develop and optimize machine learning models, integrate AI features into applications, and collaborate with teams for best practices in AI solutions.

Design and implement scalable data architectures, establish data governance, oversee ETL processes and collaborate with teams to enhance data infrastructure.

The Technical Pre-Sales Consultant will engage with clients to understand their needs, recommend AI and data solutions, develop proposals, and deliver technical presentations, ensuring alignment of solutions with client requirements.

Design, develop, and deploy scalable machine learning solutions, integrate ML with data warehouses, and optimize model performance in production environments.

The Senior Machine Learning Engineer will develop and enhance machine learning models and advanced analytics, collaborating with teams to deliver impactful, scalable AI solutions.

The Machine Learning Engineer will develop and optimize ML models, build scalable pipelines, and enhance model performance while collaborating with teams to deliver impactful AI solutions.

Lead the Engineering Team for the Client Portal, managing software development, fostering a collaborative culture, and ensuring technical excellence.

Design, implement, and manage Azure cloud solutions with a focus on automation. Develop CI/CD pipelines, ensure security compliance, and mentor IT team members.

As an Iceberg Core Engineer at Cloudera, you'll improve Apache Iceberg, work on large scale distributed systems, and collaborate on advanced analytics solutions.

The Software Applications Engineer develops networking solutions, focusing on full stack development, microservices, and cloud technologies, while ensuring effective communication and collaboration.

The Senior Data Engineer will design and maintain data pipelines, support data migration projects, and mentor team members in a transforming data environment.

Lead the development of TT-Forge, a compiler focused on AI performance and optimizations, managing a team to implement kernel-level enhancements and scaling transformations.

As a Senior Data Scientist, you will develop machine learning models for logistics, credit assessment, retailer growth, and optimize marketing efforts to enhance customer acquisition and engagement.