Top Python Jobs in Toronto

Lead the development and execution of eBay's pricing strategies, focusing on feature monetization, pricing architecture, and financial performance analysis while driving process innovation and stakeholder engagement.

The Applied Researcher will develop machine learning models for advertising, lead data analysis, and guide advertisers using innovative techniques. Responsibilities include managing ML system design, translating business challenges into ML problems, and collaborating across teams for technical leadership.

The Analytics Platform & Reliability Engineer will own the uptime, performance, and operational excellence of the analytics systems at Rumble, collaborating cross-functionally to optimize queries and manage BI platform infrastructure.

As a Data Scientist at Lyft, you will analyze data to enhance products and decision-making in ride-sharing. This includes statistical modeling, designing experiments, partnering with teams, and proposing technical solutions to improve rider and driver experiences.

As an AI Performance Architect, you will analyze and optimize AI workloads on Tensix architecture, linking architecture with software and hardware to enhance efficiency and scalability.

As a Power Architect at Tenstorrent, you'll drive architectural strategy to optimize power across AI compute systems, using advanced estimation tools and modeling techniques.

This role involves assisting app publishers with ad revenue strategies, managing user acquisition campaigns, analyzing performance data, and collaborating with product teams to optimize solutions.

The Systems Engineer will develop and implement safety frameworks for autonomous technology, analyze performance metrics, and ensure safety readiness through simulation and testing.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

As a Wi-Fi Python Test Automation Developer, you will test Wi-Fi features, develop automated test tools, and collaborate in Agile teams to optimize software performance across systems.

Design and build backend services, APIs, and applications supporting seller and marketplace experiences. Implement, test, deploy, and operate scalable, reliable systems using databases, caching, messaging, and event-driven patterns. Collaborate in Agile teams, participate in code reviews, and apply software quality practices to deliver maintainable solutions.

Lead architectural vision and roadmap for a major UI platform subsystem. Design and implement shared libraries, frameworks, and tooling to enable scalable, accessible, global-ready UIs. Drive cross-team alignment, review high-impact designs, mentor engineers, and contribute hands-on to complex foundational platform components.

Design and execute performance test plans using NeoLoad, JMeter, and LoadRunner; simulate workloads, analyze metrics and logs, identify bottlenecks, and recommend optimizations. Collaborate with developers and architects, troubleshoot complex issues, and serve as a performance engineering subject matter expert across initiatives.

Designs, builds, and deploys production-ready analytics and ML solutions on cloud platforms. Creates automated data pipelines and curated datasets, analyzes large datasets for trends and optimization, embeds data quality and monitoring, partners cross-functionally, and communicates insights via dashboards and executive storytelling to improve sales/goaling performance and governance.

Own verification of autonomous platform software: create verification plans, build and maintain test infrastructure and CI, run automated tests, analyze large datasets, improve high-fidelity simulation, and validate AV software releases across localization, planning, and control modules.

Lead DevOps support for ASG projects, design and maintain CI/CD pipelines, build and deploy applications (containers, artifacts), mentor teams, manage middleware and JVM tuning, write automation and scripts, support production incidents, and drive DevOps cultural and process improvements.

Lead design and delivery of enterprise BI solutions using Power BI and Microsoft BI stack. Translate business needs into scalable data models, ETL pipelines, dashboards, and automated release pipelines. Provide technical leadership, stakeholder liaison, knowledge transfer, documentation, and production support while ensuring security, performance, and compliance.

Senior backend engineer responsible for building and owning APIs and partner integrations, optimizing database and service performance, debugging production issues using observability (logs, metrics, traces), mentoring engineers, and guiding architecture and scalability decisions while shipping reliable Python/Django services.

Pre-sales Sales Engineer responsible for driving technical evaluations and proof-of-concepts for net-new customers. Partner with AEs to design demos, validate architectures, guide security and integration reviews, and remove technical barriers to close enterprise software deals.

Own day-to-day administration of identity, endpoint, and IT service platforms; act as escalation for helpdesk, build automations and integrations, support AI tooling, manage identity lifecycle, mentor junior staff, document procedures, contribute to incident/change processes and participate in global on-call.

Senior Software Developer responsible for designing and implementing BI solutions, leading BI migrations, building ETL and data warehouse processes, developing Power BI reports (on-prem and cloud), automating CI/CD deployments, and ensuring data governance, security, and performance tuning.

Lead design, development, and integration of enterprise-scale data applications. Build and maintain Databricks and ADF pipelines, coordinate backend systems, mentor developers, and drive strategic technology roadmaps aligned with finance business goals.

Build and maintain backend systems and large-scale data pipelines powering real-time ad serving, campaign management, targeting, and measurement. Design scalable data models, implement reliable ETL workflows (Airflow/Prefect), integrate APIs and third-party feeds, ensure CI/CD and observability, and collaborate with product, analytics, and data science on architecture and performance.

Build production-grade UiPath automations and Claude-powered AI agent workflows, integrate with enterprise systems (APIs, ERPs, CRMs), write custom Python/JS/C# components, create reusable libraries, run unit tests and UAT, and participate in two-week agile sprints to deliver and stabilize automation solutions.

Design and implement reference data quality framework for an investment platform transformation. Build automated checks with Python and SQL, profile data with Informatica, create Power BI dashboards, support root-cause analysis and remediation, document controls and processes, and enable handoff to Data Operations.