Top Python Jobs in Toronto

The Product Security Engineer will implement security testing, manage vulnerabilities in codebases, and integrate security practices into CI/CD pipelines while collaborating with engineering teams.

Lead the design and implementation of IoT solutions, developing applications and microservices for manufacturing environments, integrating legacy systems with modern infrastructure.

The Analytics Engineer transforms data into insights for KUBRA's clients. Responsibilities include designing dashboards, conducting data analysis, and collaborating with teams to align metrics with business goals.

Lead SRE initiatives to improve reliability, observability, and automation of AWS-based production systems. Build SLIs/SLOs, maintain metrics/logs/traces, evolve Terraform infrastructure, contribute code and tooling, participate in incident response and runbook development, and collaborate with product and engineering teams to design resilient services.

As a Software Engineer II, you will design and develop backend systems, integrate data pipelines, ensure operations availability, and collaborate with cross-functional teams.

The role involves leading backend system development, collaborating with teams, identifying issues, and fostering team culture while delivering high-quality projects.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Staff Software Engineer will lead IAM technology, architect scalable authorization systems, ensure service-level outcomes, and mentor other engineers.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.

The role involves designing and maintaining backend services using Node.js and Python, optimizing systems, managing databases, and improving system performance, while providing mentorship to other engineers.

The role involves designing and improving computer vision systems, building scalable cloud workflows, and collaborating across teams to integrate ML prototypes into reliable pipelines.

The Staff Software Engineer will enhance Ripple's production infrastructure, lead architectural designs, and coach junior engineers, focusing on automation and DevOps principles.

As a Data Scientist, you will drive AI and business intelligence solutions for compliance operations, build dashboards, and train staff on new technologies.

Design and operate cloud infrastructure for analytics and machine learning, ensuring governance and compliance while providing mentorship and collaboration across teams.

The role involves supporting derivatives market data sets and valuations, conducting price checks, and enhancing valuation models using programming skills.

As a Junior Applied Data Scientist, you will ensure data quality by preparing and transforming raw data, participate in the modeling lifecycle, and collaborate across teams to improve data integrity.

The Senior Analyst develops and implements models and analytics for financial risk management, leveraging statistical and machine learning techniques to provide actionable insights and improve decision-making processes.

Develop and maintain ETF systems, oversee operations, build analytics tools, and collaborate with teams for portfolio management solutions.

As a Vice President Software Engineer, you will design and develop high-performance software applications, focusing on real-time trading tools and analytics for BMO Capital Markets, utilizing C# and cloud technologies.

Manage Scope 3 financed emissions calculations for TD's non-retail portfolio, prepare regulatory disclosures, and collaborate across teams for effective reporting.

The Manager, Data Science will build data infrastructure and analytics for model development and operational processes, applying statistical methods for financial decision-making and risk management, while collaborating with teams on insights and solutions.

As a Senior Analyst, you will support risk modeling efforts by cleaning data, building datasets, and assisting in predictive model development while ensuring documentation compliance and operational efficiency.

The Exotics Rates Quant Director leads quantitative and analytical activities for interest rate exotics trading, enhancing multi-factor models and supporting traders and management with effective pricing and risk management tools.

The Marketing Intelligence Analyst consults on data analytics solutions, developing advanced analytical tools to support business decisions, and providing actionable insights through reports and visualizations.