Top Python Jobs in Toronto

Analyze advertising inventory to maximize value, design tests, synthesize data into reports, and identify revenue opportunities in gaming.

The Senior Security Engineer I will build and maintain core security infrastructure, collaborate with global teams, mentor junior engineers, and drive security initiatives.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

The Software Engineer II will ship features to enhance Affirm's marketplace, supporting product development and collaborating with design and analytics teams while ensuring operational stability.

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

As a Software Engineer II, you'll develop generative AI applications, enhance sales operations through AI tools, and collaborate with engineering teams on a remote basis.

Lead AppSec efforts across product, platform, and AI features by owning secure SDLC, performing threat modeling and deep code reviews, driving vulnerability management and remediation, building AppSec tooling and automations (including AI-assisted workflows), and enabling engineering teams with secure design guidance and training.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

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.

Senior technical leader who shapes Canada Tech strategy, drives architecture and engineering standards, mentors senior engineers, leads transformational change, and guides platform and product technical decisions to support international Card customer capabilities.

Contribute to the development of the authentication and authorization platform, define AI workflows, improve identity layers, and mentor team members.

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

As a Senior Technical Services Engineer, you'll assist customers with MongoDB applications, troubleshoot issues, and support search technologies, ensuring user success with the platform and collaborating with product teams.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Data Scientist will analyze customer behavior, optimize product initiatives, and collaborate with cross-functional teams to drive revenue growth.

The Staff AI Engineer will design and implement AI workflows, mentor engineers, ensure compliance and scalability in production AI systems using tools like LangGraph and LangFuse.

As a Software Engineer II, you'll implement critical features, collaborate with teams, maintain full stack systems, and ensure high-quality code in a dynamic environment.

You will design, develop, and launch backend systems, APIs, and collaborate with cross-functional teams to support product development and operations.

The Senior Software Engineer will enhance MongoDB's query engine, integrating features and improving performance using C++, Python, and JavaScript.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

Support funding operations for the loan portfolio, manage loan cash flows, automate reporting and reconciliations, coordinate audits, design controls and governance, and lead investor financial reporting while working cross-functionally with Capital, Finance, Product, and Engineering.

Build and operate ML training and serving infrastructure. Design, develop, and launch backend systems, collaborate across teams, support operations and on-call, write well-tested extensible code, and participate in team growth and hiring activities.

Lead the development and improvement of fraud prediction models using machine learning techniques, collaborating with various teams to ensure model effectiveness and operational robustness.