Top Python Jobs in Toronto

The Senior Product Control Analyst provides financial control, reporting, and analysis related to P&L and balance sheets, ensuring compliance and accuracy in financial activities.

The Sr. Specialist will define and execute digital experience use cases, oversee AJO journey builds, and collaborate with marketing and technology teams, ensuring effective data-driven campaigns.

The role involves automating workflows, collaborating with stakeholders, managing analytics projects, developing solutions, and presenting insights to senior management.

The Application Observability Engineer will support and troubleshoot enterprise platforms and microservices, focusing on maintaining application health and resolving production issues. Requires collaboration with cross-functional teams and validation of API functionality.

The Senior ML Platform Engineer will develop scalable machine learning solutions, manage ML infrastructure, and ensure observability in ML workflows while collaborating with cross-functional teams.

The Senior Cloud Engineer - Data & AI leads the development of data and AI products, ensuring alignment with business requirements and technical standards, while promoting innovation and process improvement.

The Senior Data Engineer will lead the design and development of applications and data pipelines for cybersecurity, using tools like Microsoft Power Platform and Azure. Responsibilities include backend engineering, AI implementation, automation, and stakeholder support through data modeling and dashboards.

The Global Markets Summer Analyst will undergo training in sales, trading, and origination, working in a team to provide financial solutions to clients.

Lead initiatives to enhance developer infrastructure by architecting systems, improving CI/CD pipelines, and mentoring engineers. Focus on operational excellence.

Lead architecture and implementation of Sentry's Issue Workflow platform, solving performance and scalability challenges, driving technical strategy, building real-time pipelines and search systems, and mentoring engineering teammates to improve product quality and user experience.

The Senior DevOps Engineer will work on product development, ensuring smooth operations of systems, and improving CI/CD workflows while addressing security vulnerabilities and system health monitoring.

Design, build, and maintain automated deployment pipelines, infrastructure-as-code, and CI/CD for cloud-based data platforms. Ensure operational stability through orchestration (e.g., Airflow), monitoring, incident response, and reproducible environments. Partner with engineering, security, and governance teams to enforce access controls, compliance, and operational standards while documenting runbooks and driving platform reliability improvements.

The Senior Data Scientist will design and maintain metrics, reports, and dashboards, develop algorithms, conduct data analysis, and collaborate with teams to enhance business decisions.

Lead product analytics and experimentation: run proactive funnel and cohort analyses, design and analyze A/B/multivariate experiments, build KPIs, automated dashboards and models, and partner with product, marketing, data, and engineering to inform product releases and engagement strategies.

Build full-stack products that put generative AI into creators' hands: design delightful UIs, optimize backend systems, ship AI-first features, design APIs and data models, and iterate rapidly with user feedback while collaborating across teams.

Manage and optimize core SaaS infrastructure (Okta, Jira, Kandji), automate workflows with Okta Workflows and APIs, apply IaC for SaaS configs, analyze logs/ticket trends, enforce Zero Trust and lifecycle automation, and support vendor strategy and technical intake to translate business requirements into repeatable technical solutions.

Design, build, deploy, and maintain large-scale backend and distributed systems for Lyft's Incentives & Messaging Growth Platforms. Collaborate with product and ML teams, improve automation and reliability, and deliver well-tested, production-grade services.

Develop and deliver cloud-based computational design solutions using Rhino and Grasshopper. Build modular, scalable workflows, create custom Python and C# nodes/plugins, develop APIs for interoperability, handle sensitive client data, and collaborate with engineering and design teams to enhance the Generate platform.

The Engineering Manager will lead a team to build scalable software solutions, manage project delivery, and foster team growth while ensuring high-quality results.

Support Treasury operations including cash management, FX settlement, and risk management. Drive process improvements and develop metrics for operational excellence.

Lead a team of Support Engineers while actively participating in resolving complex technical issues, mentoring staff, and maintaining quality service standards.

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.

The Design Verification Engineer will rigorously verify designs using UVM techniques, collaborating closely with digital and analog design experts, while defining DV methodologies and ensuring quality tapeouts.

The Technical Systems Manager will develop and maintain internal systems and integrations, enhance workflows, ensure security compliance, and document processes to support business needs.

Design, develop, and deploy scalable AI solutions including multi-agent workflows, integrate LLMs via APIs and microservices, build prototypes, perform prompt engineering, monitor model performance, mitigate hallucinations, and collaborate with data and engineering teams to align AI with business needs.