Top Python Jobs in Toronto

Conduct advanced research and prototyping in speech/audio AI, design deep learning architectures, develop audio AI capabilities, and collaborate with teams on innovative intelligent products.

Develop and implement AI risk assessment and pricing frameworks by evaluating AI models, creating rating tables and pricing models, collaborating with underwriters, building Python-based analytical tools, and researching emerging AI risks and mitigation strategies.

Conduct research into AI model behavior and failure modes; design and build models, agents, and automated evaluation pipelines to assess AI risk; develop production-grade tooling for continuous monitoring and model testing; create novel risk metrics; collaborate with underwriting and actuarial teams to translate findings into pricing signals; prototype and deploy robust, well-tested systems while communicating results to technical and non-technical stakeholders.

Design, build, and maintain adversarial AI evaluation platforms and AI pipelines. Implement software engineering best practices for ML, integrate UI/UX, deploy on major cloud providers, and collaborate cross-functionally to improve model robustness and product infrastructure.

The Automation Technical Lead oversees performance testing, particularly for IPTV solutions across various platforms, utilizing tools and languages such as Java and Python.

The Manager of Data Operations will lead a team to ensure the reliability and scalability of data platforms, enforce operational standards, and implement CI/CD practices. Responsibilities include monitoring data quality, incident management, and collaborating with various teams to enhance data operations.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

The Functional Architect is responsible for designing high-performance trading systems, ensuring system reliability, and collaborating with teams to develop real-time applications.

As a Product Manager for Computer Vision & Data Products, you will manage the full product lifecycle, working closely with data scientists and engineers to innovate and deliver data solutions for risk assessment and management.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

The Design Automation Specialist develops automation solutions within BIM and CAD environments, balancing technical capabilities with project delivery needs. Responsibilities include designing automation tools, collaborating with teams, evaluating emerging technologies, and providing clear documentation for users.

Manage day-to-day customer relationships, implement product features, optimize sales performance management, and ensure customer success with platform usage.

Lead design and delivery of enterprise web platforms across the full stack (Angular frontends, Java/Spring Boot microservices, MongoDB). Direct and validate AI coding agents, integrate agentic workflows into CI/CD, ensure security/scalability, produce design artefacts, and coach squads while applying Corporate Banking domain knowledge.

The Senior IT Engineer will lead onsite operations, automate workflows, enhance network security, and provide high-touch support for IT systems.

The Managing Director of Digital Finance will lead TMX's finance digital transformation, optimizing workflows, migrating data to Snowflake, and enhancing financial analytics. The role requires deep financial acumen and collaboration across teams to drive insights and modernize processes.

The Senior Actuarial Analyst will resolve complex problems using actuarial knowledge, work on strategic projects, improve processes, and coach team members.

The Actuarial Consultant will lead strategic projects, mentor analysts, and contribute to business strategy, focusing on areas like ratemaking and data science.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

The Sr. Client Policy Analyst will analyze proxy voting, ensure client policies are implemented, and support internal and external stakeholders with governance insights.

The Associate Client Analyst role involves supporting proxy voting work by reviewing documents, managing governance data, conducting research, and collaborating with teammates, all while developing knowledge in governance and proxy voting.

The Senior Data Scientist will develop ML and AI algorithms to drive business value, manage data pipelines, and communicate insights with stakeholders.

The Forward Deployed Engineer is responsible for deploying AI solutions in manufacturing, managing client relationships, and integrating systems within customer environments.

As a Staff Product Engineer, you will lead high-impact initiatives, shape architecture and product strategy, and mentor engineers while solving complex, ambiguous problems in product development.

Design and maintain data pipelines using Databricks and SQL. Collaborate with teams to ensure data quality and compliance while optimizing performance.

The AI Product Analyst will design, build, and deploy AI applications, collaborate with teams to enhance IT operations, and support ongoing system performance.