Top Python Jobs in Toronto

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

As a Senior Application Engineer, you'll develop core applications for scientists using high-performance APIs and ensure software safety, deployment automation, and user experience in complex experimental workflows.

Lead design and delivery of enterprise web applications using Angular and .NET Core. Collaborate with stakeholders and cross-functional teams, drive architecture and technical decisions, mentor engineers, ensure high performance, security, and testability, and participate in agile ceremonies and CI/CD deployments.

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

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.

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

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

As an Engineering Manager for Lithic, you will lead the Issuing team to ensure high reliability of card and account lifecycle systems, manage engineering staff, and oversee feature delivery and operational excellence.

As a Technical Customer Support Specialist, resolve complex issues for B2B customers, provide technical support in Mandarin and English, document processes, and identify product gaps to enhance the user experience.

This role leads compliance automation within the GRC function, managing integrations, designing AI-driven workflows, and ensuring continuous compliance monitoring and risk management.

The Senior Marketing Analyst will measure marketing performance, provide analytical reporting, collaborate with teams, and create data pipelines to support marketing strategies at Strava.

Lead a team of forward deployed engineers to embed with application teams, drive AWS cloud-native application modernization, adopt AI-assisted SDLC practices, implement IaC and CI/CD, mentor engineers, and feed improvements back to the central engineering factory.

Lead and manage a team of engineers in the Growth Platform, focusing on building systems that enhance user engagement and contribute to company growth. Collaborate with product teams and utilize AI tools to optimize productivity and project delivery.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

As a Senior Analyst, you will deliver data-driven analytics and support investment decision-making at OMERS, focusing on portfolio analytics for capital markets.

As a Site Reliability Engineer at Air Apps, you'll enhance system reliability through automation, monitoring, and performance optimization, collaborating with development teams to build resilient cloud solutions.

As a Release Engineer, you will manage release pipelines, ensure smooth software deployment, automate processes, and collaborate with engineering teams to enhance release efficiency and reliability.

As a QA Engineer, you will ensure app quality and performance, develop automated tests, and identify bugs while collaborating with cross-functional teams.

The Business Systems Analyst will design, develop, and support ERP solutions, bridging business needs with technical delivery through data and narrative analysis.