Top Python Jobs in Toronto

Lead a team focused on data and ML systems at eBay, driving architectural decisions, product execution, and best practices in ML applications.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

Design and build software components for a distributed system, ensuring uptime and reliability while collaborating on project discussions and adhering to quality standards.

As a Full Stack Engineer, you will design, build and scale cloud-native applications on AWS, focusing on consumer experiences and collaboration with various teams.

Lead technical design, development, deployment, and operation of scalable Generative AI and LLM-based agent systems. Mentor engineers, drive architecture and platform work, ensure production reliability, observability, evaluation, and responsible AI practices across high-volume services.

Lead Intelex's AWS-first cloud architecture vision, designing secure, highly available, and cost-efficient infrastructure. Enable AI and data platforms, define IaC standards (Terraform), CI/CD (GitHub Actions, Octopus), observability, and security/governance. Partner with Engineering, InfoSec, and Data teams to drive migrations, reliability, and compliance for SaaS and AI workloads.

Design, implement, integrate, and support SCADA/HMI systems for building and warehouse automation. Configure interfaces, integrate with PLCs and field devices, ensure cybersecurity, support commissioning and troubleshooting, optimize performance, and assist with analytics and documentation.

As an Agentic Data Specialist, design and manage data systems for AI agents, ensuring seamless integration and collaboration across enterprise technologies.

Design, operate, and automate AWS infrastructure using CloudFormation and serverless/container services. Build CI/CD pipelines, instrument observability, diagnose performance across Rails apps and data systems, manage databases and cost optimization, and support security/SOC‑2 compliance while partnering with developers and data engineers.

Lead hands-on development of fault-tolerant quantum algorithms, perform resource and SWOT analyses, develop benchmarking and estimation tools, drive cross-functional technical solutions, build IP and publications, and represent IonQ externally.

Lead fixed income (Canada & US) and global FX trading and portfolio strategies, execute derivative and cash trades, manage liability hedging and liquidity, build relationships with sell-side, produce trade and cost reporting, improve desk tools and processes, develop AI-enabled pricing/trading tools, coordinate with risk, finance, compliance and contribute to Total Fund initiatives.

Define and drive the architectural vision for Okta's UI platform. Build and maintain shared libraries, reusable components, and internationalization/localization infrastructure. Lead cross-team alignment, review high-impact designs, mentor senior engineers, and implement the platform's most complex, foundational components.

Lead data science initiatives by translating business problems into scalable analytics solutions. Apply Python, statistical and advanced analytics to extract and prepare big data, build models, and visualize insights. Provide technical leadership, mentor colleagues, collaborate with engineers, and ensure solutions meet enterprise, regulatory, and business requirements.

Design, build, and optimize scalable data ingestion, transformation, validation, and modeling pipelines. Collaborate with architects, product managers, and engineers to meet analytics/product needs, implement CI/CD, monitor data quality and pipeline performance, evaluate new tools, and mentor team members.

Design, build, and maintain DevOps pipelines and infrastructure for AI and data applications. Implement IaC, manage and upgrade clustered server infrastructure, improve monitoring, integrate enterprise release tools, and troubleshoot platform issues to enable scalable, secure deployments.

Design, build, and maintain scalable data pipelines and infrastructure using Spark, Kafka, cloud platforms and containerization. Ensure data integrity, ETL, high availability, performance tuning, observability, and collaborate with AI/data science teams to enable analytics and ML solutions.

Design, build, and operate secure, scalable multi-cloud solutions across Azure and AWS. Develop reusable IaC (CDK, Terraform, Bicep), maintain CI/CD pipelines, support containerized workloads (AKS, EKS, ECS, Fargate), ensure security and compliance, optimize cost and performance, and enable internal engineering teams on cloud best practices and onboarding.

Design, build, and manage data pipelines, warehouses, and semantic models. Source and standardize data, ensure quality, and deliver analytics and reports. Collaborate with stakeholders and communicate technical methods to non-technical audiences, supporting mutual fund and market-based insurance product analytics.

Lead technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

Lead development of end-to-end clinical AI workflows, from data ingestion and feature engineering to modeling, validation, and production deployment. Design advanced models (in-silico trial prediction, patient representation, disease progression, clinical foundation models), define validation frameworks, integrate models into decision workflows, communicate insights to stakeholders, mentor junior scientists, and drive scientific publications and cross-industry collaborations.

Lead analytics and reporting for the US portfolio: assess portfolio risk, monitor performance, develop KPIs, optimize credit exposure, produce regulatory and management reports, build dashboards, and deliver data-driven recommendations to stakeholders.

Lead design and delivery of scalable data platforms and ETL/ELT pipelines on Azure to support analytics and AI workflows. Build data models, ensure data governance and quality, integrate LLMs/AI tools, enable real-time ingestion and observability, and translate business requirements into analytics solutions for capital markets stakeholders.

Design and execute manual and automated end-to-end tests for iOS, Android, and web apps. Define test strategies for P0 launches, automate E2E test cases, run regression cycles, and collaborate cross-functionally to ensure product quality and user experience.

Operate and evolve cloud-native infrastructure for CBC's digital products. Implement IaC, Kubernetes platforms, GitOps CI/CD, observability, database scaling, and cost-aware platform improvements. Support production services, participate in incident response and on-call rotation, migrate workloads to new architectures, and collaborate with product and engineering teams to ensure reliability and scalability.

Lead design and modernization of patient-facing backend services, driving API-first and event-driven architectures on AWS. Improve reliability, observability, security, and scalability of communication pipelines (email, SMS, notifications). Mentor engineers, enforce API contracts, reduce tech debt, and partner with cross-functional teams to build secure systems handling sensitive patient data.