Top Python Jobs in Toronto

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 Data Scientist will drive high-impact ML initiatives, translate strategy into models, and connect model performance to business outcomes. The role requires collaboration with stakeholders to improve product ranking, approval likelihood, and member engagement through data-driven recommendations.

The Software Engineer will drive technical innovation in software companies, modernizing systems and building AI-powered products while collaborating across 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 Software Engineer, you will build internal tools, enhance user-facing products, collaborate with other engineers, and adopt new technologies.

As Senior Manager of Risk Analytics, you will lead a team, shape strategy, drive insights, and enhance risk management through data analytics.

The Solutions Lead Developer designs and develops advanced trading applications, focusing on trading workflows, data processing, system architecture, and collaboration with investment teams to enhance technical solutions and speed feature delivery.

As a Senior Technical Support Engineer, you will troubleshoot complex issues, partner with engineering, and advocate for customer needs while improving processes and documentation.

As a Senior Software Engineer, you will develop and maintain software for healthcare applications, utilizing big data technologies and programming languages, ensuring high-quality code and system performance.

The Senior Solutions Engineer will help customers integrate Sentry into their applications, ensuring optimal implementation and productivity by translating their needs into effective onboarding plans and developing best practices.

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

The ML Developer Experience Engineer will create tooling and workflows for ML developers, enhance customer adoption, and ensure high-quality developer experiences through collaboration and documentation.

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.

The role involves end-to-end verification of designs, developing plans, building testbenches, analyzing test failures, and supporting validation activities across multiple programs.

As a Software Engineer III at Emburse, you will develop and enhance software solutions, fix bugs, and design features with minimal supervision. Collaboration and code reviews are essential parts of the role.

The Senior Data Engineer will architect and build scalable data systems, ensuring quality and accessibility of data for B2B products, while collaborating with engineers, product managers, and data scientists.

The role involves building scalable AI solutions, enhancing productivity through agentic automations, and integrating LLMs and other advanced AI frameworks.

Lead and grow a research engineering team building and productionizing LLM and ML capabilities. Own delivery of business-critical features, collaborate with applied scientists, drive infrastructure and MLOps initiatives, recruit and mentor engineers, and promote best practices for large-scale model training, deployment, and evaluation.

Lead decomposition of a monolith into independently deployable services, design APIs and data migrations to domain-specific databases, establish developer standards, CI/CD and observability, and deliver production-grade backend services while minimizing business disruption.

As a Software Engineer in Test III, you will design and implement automated testing for data systems, ensuring data accuracy and quality by collaborating with engineers and product teams, and driving improvements in test strategies and data governance.