Top Python Jobs in Toronto

As an Engineering Manager at Harvey, you will lead a full-stack team, oversee core product delivery, and ensure high-quality user experiences by combining technical design and product vision.

The Manager, Customer Analytics will lead a team to drive insights across the customer journey, improve customer experience, and optimize value. Responsibilities include strategic analysis, stakeholder partnerships, and developing analytics frameworks to inform business decisions.

The role involves designing warehouse and logistics systems, creating scalable models, bridging operations with product teams, and continuously validating and refining system outputs for operational efficiency.

The Applications Support Senior Analyst provides L2 support for Fixed Income applications, ensuring stability, resolving issues, and collaborating with development teams to enhance application performance and processes.

Contribute to systems analysis and programming for new or revised applications, providing user support and developing application security measures.

Develop and maintain full-stack applications for Fixed Income trading and risk management, collaborating with traders and analysts for innovative solutions.

The Full Stack Data Engineer will design and implement scalable data solutions, optimize data pipelines, and leverage AI tools to enhance productivity. Collaboration with teams and engagement with data stakeholders is key.

As an Applied Research Scientist, you will lead the design and deployment of Generative AI applications, mentor junior staff, publish research, and collaborate with teams to innovate solutions in professional services.

The Senior Data Analyst will analyze player behavior, create dashboards, guide product growth with insights, and collaborate on A/B testing at Rovio.

As a Senior Machine Learning Engineer, you will design and build AI systems, focusing on recommendation and ranking systems, while collaborating with cross-functional teams to enhance ML capabilities.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.

The Mixed-Signal Systems and Verification Engineer II will develop simulation-efficient behavioral models, verify complex designs, debug failures, and maintain verification infrastructure, collaborating across teams.

The Data Scientist 2 will engage in the full data science lifecycle, including data extraction, model development, and deployment to meet business needs.

As a Research Engineer, you will develop scalable ML solutions, engage in software development, and apply machine learning techniques in a team-oriented environment.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

The AI Native Engineer will embed AI into growth marketing strategies, develop AI tools for performance marketing, CRM, and landing pages, and optimize processes for the Growth team.

The Senior Product Manager will manage data quality features for the Compass Platform, collaborating with teams to enhance data integrity and deliver product features. Responsibilities include designing specifications, managing backlogs, and ensuring product releases align with customer needs.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

The role involves developing AI and ML applications to enhance chip design, collaborating with hardware teams, and creating innovative tools for productivity.

Build and maintain infrastructure and environments using Terraform and AWS, implement DevOps processes (containerization, CI/CD, IaC), automate operations, support and monitor production systems, manage cloud account health (security/cost), and collaborate with development, testing and client services to improve platform reliability and availability.

Lead marketing performance analytics across paid, earned, and owned channels; track full-funnel metrics to revenue; partner on strategic planning and targets; manage ad-hoc analytics and executive/Board reviews; optimize lead scoring and attribution with rigorous validation; design interactive dashboards; support closed-loop marketing reporting and customer journey optimization via omni-channel activation and A/B testing.

Serve as the technical lead for Cyera's platform, driving customer onboarding, adoption, and ROI. Design custom use cases, troubleshoot issues, lead technical workshops and executive reviews, mentor team members, advocate customer feedback to product, and monitor customer health to enable expansion and retention.

Lead a team to implement and monitor End-to-End Risk & Control Self-Assessments (E2E RCSA), manage people and process improvements, support regulatory compliance, handle governance projects, liaise with control partners, and provide executive reporting and data insights to maintain risk and control frameworks across TDS businesses.