Top Python Jobs in Toronto

Design and deliver data analytics and AI solutions for Capital Markets. Apply statistical and machine learning models, build AI agents and dashboards, produce insights for senior management, and collaborate with data engineers and business teams to ensure governance and integration.

Design and implement enterprise-scale cloud infrastructure across Azure and GCP, build and operate Kubernetes platforms (AKS/GKE), implement CI/CD and GitOps pipelines, enforce security and compliance (SOC 2/ISO 27001, Zero Trust), and lead/mentor engineering teams while driving automation and observability.

Build consumer-facing generative-AI products and backend infrastructure across the full stack. Design APIs and data models, optimize systems for scale, integrate AI workflows, ship features rapidly, and collaborate cross-functionally with product and design while owning outcomes.

The Data Analyst will analyze large datasets, collaborate with stakeholders, develop data processes, and support data-driven decision-making to improve business efficiency.

The Data Engineer will design, develop, and maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.

The Senior Data Engineer will design and maintain scalable data pipelines, collaborate with stakeholders, and ensure data governance and quality. Responsibilities include project ownership, mentoring juniors, and implementing data solutions across platforms.

The role involves delivering data-driven insights for investment decisions, managing complex data sets, reporting, and automating analytics processes.

Lead and mentor a large team of software engineers, manage complex projects, and drive software development strategy while ensuring high-quality and innovative solutions.

The Data Operations Specialist will manage data operations, ensuring quality data services and compliance, while optimizing data workflows and conducting audits.

The role involves leading projects in AEC data modeling and machine learning, mentoring junior engineers, and collaborating to enhance design workflows.

The Senior Data Software Engineer will design scalable data pipelines, develop backend services, and ensure data quality for AI-powered personalization. Responsibilities include working with diverse teams to translate business needs into robust data systems, ensuring accuracy, reliability, and performance optimization in production environments.

As a Quantum Scientist at Xanadu, you'll design and optimize quantum algorithms, develop compilation techniques for quantum circuits, and lead projects while collaborating across teams.

Develop and maintain control and measurement software that connects custom hardware (control boards, instruments, DAQ) to higher-level experiment frameworks. Write and integrate device drivers, support lab hardware bring-up and debugging, improve data capture and deployment practices, and contribute to tooling, testing, and CI to make prototype code reliable and maintainable while working closely with physicists and hardware engineers.

As a Photonics Engineer - Experimental Statistician, you will apply statistical modeling for on-chip photonic devices, collaborate with physicists, and automate data analysis. Responsibilities include developing scalable models and documenting software libraries.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

As a Photonics Data Analysis Engineer, you will develop software for analyzing and measuring photonic devices, requiring advanced mathematical skills and strong programming expertise, particularly in Python and data visualization.

Contribute expertise in optics and photonics for SNSPD development, operate cryogenic systems, and enhance performance and scalability of SNSPD technology.

The role involves designing and testing photonic systems for quantum computing, ensuring precision optical control, collaborating across teams, and generating technical documentation. A PhD in a relevant field and significant experimental experience are required.

Design, develop, and optimize high-power pulsed optical amplifiers for quantum computing, collaborating with physicists and engineers.

As a Senior Low Temperature Device Engineer, you will design and optimize SNSPDs, conduct cryogenic tests, and analyze performance data for quantum computing technologies.

The Lead Data Engineer will design and enhance data pipelines and infrastructure for data-driven decisions, mentor engineers, and establish data governance.

The Quantum Scientist will lead the research on quantum algorithms, optimize performance, and translate applications into technical roadmaps, while collaborating across teams and representing Xanadu in the field.

Develop and maintain PennyLane, a quantum programming framework. Responsibilities include designing infrastructure, implementing software features, and collaborating with various teams for advanced execution pipelines.

The role focuses on designing superconducting analog components for SNSPDs, optimizing circuit architectures, and ensuring scalability through collaboration and validation processes.

Design and maintain scalable ELT/ETL pipelines on GCP, build and evaluate predictive ML and NLP models (including LLM prompt engineering), implement XAI for interpretability, perform EDA and automation, and document governance and compliance to support enterprise fraud detection and SIU stakeholders.