Top Python Jobs in Toronto

Lead the design and modernization of patient-facing backend services, drive API best practices, and ensure secure, scalable systems handling sensitive data while mentoring other engineers.

The Associate Consultant will provide analytical support for client projects in life sciences, assist in developing proposals, conduct quantitative analyses, and communicate findings to stakeholders, while working collaboratively in a team environment.

As an Actuarial Consultant, you'll lead pricing initiatives, collaborate on pricing strategies, analyze data, and support reinsurance modeling efforts to optimize profits.

The role involves designing and implementing AI features, building APIs, participating in code reviews, and ensuring software scalability and reliability.

The Principal AI Developer will design and implement AI features, drive code reviews, troubleshoot issues, and contribute to technical roadmaps, focusing on scalability and performance for a reliable platform.

Build and scale batch and real-time data pipelines, automate cloud infrastructure and CI/CD, develop ETL and analytics, create reports and dashboards, and partner with stakeholders to deliver data-driven insights.

The Data Engineer will build scalable data processing tools, collaborate with teams, enhance developer experience, and support AI interactions with data infrastructure.

The analyst will provide risk insights, develop risk analytics programs, support investment risk reporting, and build relationships with investment teams.

Serve as a subject-matter trusted advisor for Pricing and Reference Data customers across the lifecycle (LAER). Monitor customer health, conduct business reviews, co-create success plans, drive adoption and organic expansion, surface feedback and issues, partner with internal teams, and proactively identify and mitigate risks.

As Principal of Strategy & Operations at Neo, you will drive growth and profitability, manage P&L, lead cross-functional teams, and mentor junior associates while ensuring operational excellence.

Design, operate and evolve OpenTelemetry-based observability platforms (metrics, logs, traces). Administer Splunk/New Relic/ClickHouse/Grafana, onboard services, improve instrumentation quality, build dashboards/alerts, optimize telemetry pipelines, and support SLO-driven reliability.

As a Senior AI Engineer, you'll design and implement distributed systems for real-time marketing. Your focus will include developing APIs, applying machine learning and LLMs, and collaborating across teams to enhance product features.

Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.

As an AI Engineer, you will design and deploy scalable AI solutions, optimize models, integrate AI into enterprise environments, and monitor production AI systems while collaborating with various teams.

Develop and maintain production-quality software for self-driving technology. Collaborate with teams, lead discussions, and mentor engineers.

As a Technical Support Engineer, you will own customer issues, resolve technical problems, improve system reliability, and support customers with set-up and documentation.

As a Senior DFT Engineer, you'll develop and maintain DFT methodologies, create automated verification, and lead DFT engineers.

As a Data Scientist on the Mapping team, you'll enhance route recommendations and travel time estimations by analyzing spatial data and building robust models to improve mapping products.

Lead the frontend digital design of D2D PHY for chiplet systems, optimizing performance and collaborating across teams while mentoring junior designers.

The role involves bridging business needs and technical implementation, conducting feasibility studies, application development, and supporting the full SDLC lifecycle while mentoring junior staff.

As a Technical Art Director, you will guide game development through expert insight, assess technical feasibility, resolve complex issues, and innovate art pipelines while collaborating with teams.

The Non-Functional Testing Engineer will design and execute non-functional testing strategies, focusing on performance, scalability, and reliability of Prime Services applications. Responsibilities include application profiling, collaboration with DevOps, and tooling automation, ensuring high-quality delivery throughout the software development lifecycle.

The Intermediate Data Engineer designs and builds scalable data solutions, manages data ingestion and pipelines, and supports BI initiatives. Responsibilities include collaborating with stakeholders, ensuring data integrity, and mentoring team members while adhering to best practices in data engineering.

The Principal, Completion Portfolio Strategies will drive research and investment strategies within a quantitative framework, manage QIS, and foster innovation across portfolio management.

As a Data Scientist II, you will analyze complex data, create actionable insights, develop analytical solutions, and mentor team members to improve analytics capabilities for TD.