Top Python Jobs in Toronto

Provide portfolio construction consultation and coaching to financial planners; develop and support managed and model portfolio solutions; analyze advisor books of business and holdings; prepare reports, presentations and training; support transitions to scalable managed solutions and collaborate with internal investment, product, and practice teams.

Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

The Senior Actuarial Analyst develops and maintains pricing models, supports data science initiatives, monitors performance metrics, and helps enhance market pricing strategies.

Design and develop photonics architecture solutions for high-volume products, collaborate with engineering teams, and validate models through experiments.

Lead the design, development, and deployment of FPGA-based systems for satellite payloads, overseeing a diverse team while ensuring high-quality and efficient project execution.

The Senior Data Developer will build and operate a CDC streaming platform, managing Kafka and Flink infrastructure, ensuring reliability, and creating CI/CD pipelines for data streaming applications.

The Senior Data Scientist provides analytical support for campaign execution, utilizing data insights and machine learning techniques to solve business problems, establish predictive models, and lead data-driven solutions.

The Software Engineer will refine the existing React app and build new features, acting as the frontend expert to debug issues. They will collaborate with a high-performing team in an in-person environment and focus on delivering a polished customer experience.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

The Cloud and DevOps Developer will provide cloud infrastructure builds, implement DevOps best practices, and participate in Agile project delivery.

The Cloud and DevOps Developer will implement DevOps best practices, design cloud solutions, collaborate with teams, and manage infrastructure projects.

Provide expert technical support, diagnose and resolve complex issues, collaborate with teams, and enhance customer satisfaction through effective troubleshooting and communication.

The Senior Software Engineer will build backend features for user-facing products, lead development processes, and collaborate across teams to enhance Pinterest's services.

The Business Systems Engineer will optimize and automate operations by enhancing NetSuite development, managing integrations, and improving data connectivity across the supply chain.

The Associate Director will lead technology strategy, focusing on Data and AI solutions, drive innovation, and enhance customer success through collaboration and strategic partnerships.

The Engineering Manager will lead teams across North America and Europe, focusing on developing software, people management, and fostering collaboration within a distributed environment.

The Manager, Analytics leads the measurement strategy across healthcare client engagements, utilizing analytics frameworks to guide decision-making and improve marketing effectiveness, while mentoring analytics teams and aligning data across functions.

Lead an engineering team at Robinhood to develop payment solutions, improve platform performance, and drive innovation while collaborating across departments.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

As a Senior Perception Engineer, you will develop and deploy perception algorithms for self-driving vehicles, ensuring quality and collaboration within a multidisciplinary team, while publishing research findings.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.