Top Python Jobs in Toronto

The AML Tech Data Control Developer will design, develop, and maintain technology solutions for Financial Crime & Risk Management, ensuring data integrity and supporting cross-team initiatives with extensive collaboration and project leadership.

The Actuarial Analyst III will maintain and develop capital models, ensure regulatory compliance, execute stress tests, and prepare reports for the TD Insurance General Insurance legal entities.

The IT Data Specialist will lead complex data projects within FCRM, implementing data quality controls, troubleshooting issues, and collaborating across teams to ensure data integrity and compliance.

As a Machine Learning Engineer, you will develop scalable ML systems, work with large datasets, and collaborate with a talented AI team.

The SDET will design and maintain automated testing frameworks, collaborate with teams to define testing strategies, write automated tests, and mentor junior team members.

The Cloud Architect will design, deploy, and manage secure and scalable infrastructure on Google Cloud Platform, utilizing IaC tools and collaborating with development teams to optimize cloud-native applications.

The Manager, Data Analysis oversees centralized monitoring for clinical trials, ensuring effective RBQM systems, data analysis, and reporting while collaborating with cross-functional teams.

The RPA Developer will lead automation projects, collaborate with various teams, mentor junior staff, and ensure optimal delivery of RPA solutions.

As an RPA Developer, you will develop automation processes, mentor junior staff, conduct code reviews, support production bots, and promote best practices.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

As a Senior Staff Developer at Jane, you'll lead technical strategy for scheduling systems, mentor developers, and drive architectural decisions to enhance healthcare practices.

As a Staff Engineer, you'll enhance web tools for utility companies, ensuring scalability and efficiency in vegetation risk management and leading cross-team technology initiatives.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Chief of Staff/Business Operations Manager will drive strategic initiatives, optimize processes, and collaborate with executives to achieve company objectives.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Build and operate core runtime services for Glean's AI agents, focusing on performance, reliability, and integration with leading LLM providers.

The Senior/Staff Applied Scientist at Glean will enhance document indexing and retrieval algorithms, manage A/B testing platforms, and evaluate generative AI use cases, leveraging strong statistical and machine learning skills.

Design and implement scalable, secure backend systems in a cloud-native environment, ensuring high performance and reliability while mentoring junior engineers.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Lead the design and development of AI-native enterprise platforms, mentoring junior engineers and fostering collaboration across teams while ensuring operational excellence.

As a Staff Software Engineer, you'll design scalable AI capabilities, build resilient cloud systems, and ensure operational excellence while mentoring teams and contributing to architectural evolution.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

Design and maintain data integration solutions between internal and external systems, focusing on scalable and reliable cloud-native architectures using AWS services and asynchronous processing.

The role involves developing automation tools for audio/video quality characterization in devices, contributing to software products, and collaborating cross-functionally for quality assurance.