Top Python Jobs in Toronto

As a Senior Full Stack Engineer, you'll build features for an AI workspace, develop agents for sensitive data, write minimal code, and collaborate with researchers to implement models.

The Senior Embedded Reliability Engineer will lead reliability initiatives for grid automation products, working on reliability modeling, testing, Failure Mode Analysis, and collaborating with teams to enhance system resilience and compliance in the energy sector.

Lead the architecture and development of software platforms for T&D systems, ensuring security, performance, and integration while mentoring a team and collaborating across functions.

The Cloud Engineer will focus on project delivery, operational reliability, and performance in AWS and Azure environments, while managing infrastructure and automating processes.

Emburse seeks a Software Engineer in Test III specializing in data analytics to design, implement, and maintain data testing frameworks and validate analytical outputs in cloud data systems, using SQL and Python.

Support and operate identity and platform services with a focus on Customer Identity & Access Management, including troubleshooting, automation, and collaboration with cross-functional teams.

The Senior Site Reliability Engineer will ensure reliability and scalability of cloud infrastructure, enhance incident management, and optimize operational efficiencies through collaboration with various teams.

Manage and develop engineering teams, drive technical productivity, collaborate with Product Managers, lead hiring, and ensure team alignment with company goals.

This 18-month rotational program offers new graduates exposure to various technology-based roles at RBC Capital Markets, focusing on developing technical and interpersonal skills while working on diverse projects in a collaborative environment.

Design, build, and scale cloud-first data pipelines, manage ELT/ETL workflows, ensure data quality and security, optimize performance, and enable Analytics/Product teams through robust data infrastructure.

Lead Manulife's Global AI Technology Platforms and Solutions. Oversee AI platform delivery, governance, compliance, and collaboration across teams to drive operational excellence and innovation.

The Senior Product Data Analyst will analyze data to support product development, present insights, and drive data-driven decisions for marketing campaigns.

Lead and manage software engineering teams to deliver contract lifecycle management solutions, ensuring quality execution and collaboration across disciplines.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

The Lead Robotics Software Engineer will develop key functionalities of Dapster's robot technology, focusing on motion planning and navigation algorithms.

Lead ownership of Dapster's robotic system, writing code for sensors and interfaces, integrating devices, and contributing to foundational technology.

You will architect a custom browser infrastructure for data aggregation, focusing on maintaining browser fingerprint and bypassing sophisticated security systems.

The Senior Software Engineer will build and maintain the Boreal hosting platform and Moose open-source project, mentor junior team members, and collaborate with product and design teams.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

The Senior Back-End Developer will design and develop a scalable back-end for the nesto mortgage platform, collaborating closely with front-end developers and data teams, writing clean and maintainable code, and troubleshooting issues.

The role involves developing scalable back-end solutions for a mortgage platform, collaborating with front-end developers, writing maintainable code, and solving complex bugs.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.

Serve as the primary technical resource for sales, driving evaluations, establishing customer relationships, and delivering product demos. Manage RFI/RFP responses and advocate product value to enterprise customers.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.