Top Python Jobs in Toronto

The Full Stack Developer designs and develops web-based applications for investment management, working on both front-end and back-end systems. They also collaborate with business analysts and support the software development lifecycle including testing and deployment.

Join PointClickCare as a Principal Applied Researcher to leverage AI and NLP in developing healthcare solutions, collaborating with teams to enhance decision-making and care delivery.

Join Boosted.ai as a Client Solutions Developer to create client-facing demos, develop automation tools, and integrate AI solutions for financial enterprises. You will work closely with clients and internal teams to deliver exceptional software solutions.

As a Senior Technical Account Manager, you will manage client relationships, provide technical guidance, oversee data integration, and ensure best practices are implemented to maximize customer value from the platform.

As a Staff Backend Engineer, you'll design and evolve backend services, architect data models, mentor engineers, and influence architecture and product direction to enhance enterprise-grade performance.

Lead the design and development of backend systems, APIs, and microservices for next-gen applications, ensuring scalability and performance.

As a Software Engineering Consultant, you will design, build and own the lifecycle of scalable software systems while collaborating with clients in various technical domains.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The Release Engineering Manager will lead a team overseeing the planning, execution, and delivery of software releases, ensuring successful deployment across various environments.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

As a Lead Data Analyst for Marketing Analytics, you will develop measurement frameworks for SEO and LLM, create insights across the organic marketing funnel, analyze customer journeys using SQL and Python, and present findings to leadership to optimize growth strategies.

As a Software Engineer, AI at Klue, you will design and implement LLM-powered retrieval systems, optimize workflows, and collaborate closely with product teams.

The Senior Software Engineer will develop LLM-powered agents for search and retrieval systems, optimize backend architectures and workflows, and evaluate agent performance while collaborating with teams to enhance customer experience.

Design and develop Generative AI platforms, ensuring scalability and integration of AI capabilities, while leading innovative projects and mentoring developers.

The Analytics Engineer will design data models, develop pipelines, and create BI dashboards using Snowflake and Looker while leveraging advanced analytics techniques to drive business decisions.

The Senior Software Engineer will design and maintain CI/CD pipelines, manage build systems, and collaborate on improving development workflows for autonomous driving software.

Responsible for creating and maintaining build & release pipelines for autonomous driving software, optimizing testing processes, and collaborating across teams to enhance development efficiency.

The Data Engineer will design and build robust data pipelines using Microsoft Fabric and Azure services, focusing on both structured and unstructured data processing, ensuring data quality and supporting analytics and AI-driven insights.

The AI Engineer will design and implement production-ready LLM systems, optimize for cost and latency, and collaborate across teams while demonstrating strong ownership and independent execution.

The Senior Analyst will implement and optimize customer experience survey programs, analyze customer feedback, and report insights to enhance CX metrics for executive leadership.

The Machine Learning Platform Engineer will build and scale AI infrastructure, develop MLOps pipelines, automate workflows, and ensure model deployment in production environments.

The Machine Learning/AI Tech Lead at PureFacts will guide ML and AI engineers, oversee product vision, and drive automation, model development, and cross-functional collaboration to enhance client outcomes.

Support climate risk initiatives by analyzing impacts of natural catastrophes, assist in regulatory reporting, and collaborate across teams to enhance risk management.

The AI Engineer will design, develop, and deploy AI solutions in property and casualty insurance, focusing on claims processing, underwriting, and customer engagement while ensuring responsible AI practices and effective data integration.

The Intermediate Actuarial Analyst will assess climate risk, analyze datasets, support catastrophe models, and communicate findings for decision-making.