Top Python Jobs in Toronto

The Data Analyst will analyze ecommerce data to support customer acquisition, retention, and provide insights for decision-making while collaborating with various teams.

Lead data governance practices in Wealth Management by driving data quality, collaborating with stakeholders, and supporting analytics efforts.

The Data Lead will manage data processes and systems for marketing technology, design storage models, ensure compliance with privacy policies, and guide marketing strategies based on data activation.

The analyst will develop business solutions, enhance data platforms, ensure data quality, collaborate across teams, and lead data initiatives, focusing on compliance with standards and governance in capital markets.

The Director of Portfolio Strategy and Optimization leads the design and execution of risk-aligned portfolio insights, overseeing analytics integration and scenario analysis while managing stakeholder relationships and compliance.

The Senior Staff Developer will create clean, modular code, mentor teams, engage in AI implementations, optimize workflows, manage CI/CD processes, and ensure software quality in a dynamic environment.

The Associate AI Enablement Developer drives AI adoption at Euna Solutions by leading automation initiatives, training users, and collaborating across teams to enhance operational efficiency.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and 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.

Develop and implement algorithms for robot navigation, troubleshoot issues in autonomy systems, collaborate on robotics solutions, and improve machine learning models.

Lead the adoption of Generative AI and Large Language Models in enterprise solutions, focusing on engineering, collaboration, and innovation. Engage with stakeholders, implement scalable AI systems, and drive cultural change and efficiency.

This role involves maintaining market data quality, building data pipelines, resolving anomalies, and developing validation scripts, focusing on trading risk data integrity.

The role involves developing enterprise-scale applications using Python and FastAPI, collaborating with teams to implement solutions, and managing application development within the Financial Services sector.

The Associate Data Scientist will design and evaluate applications using LLMs, conduct analysis for bias and alignment, develop dashboards, and collaborate on AI initiatives.

The IoT Software Implementation Manager leads the deployment of digital solutions, ensuring customer onboarding, configuration, training, and project success to enhance operational efficiency and customer satisfaction.

The role requires delivering production support, managing cloud infrastructure, mentoring juniors, and ensuring compliance with SLAs.

We seek a Machine Learning Engineer to develop, deploy, and optimize advanced ML systems, focusing on AI Agent evaluation and optimization across complex environments.

As a Machine Learning Engineer, you will develop and optimize AI models and systems, focusing on Information Retrieval and Natural Language Processing while working with exclusive datasets to deliver valuable solutions for customers.

The Quality Engineering Intern will assist in maintaining the AS9100 D Quality Management System and develop Process & Quality documents while collaborating with the Quality Team.

The Senior Power Systems Engineer will lead projects in renewable and conventional energy resource integration, perform technical studies, and contribute to team performance and customer relations.

The Software Architect leads the architecture and technical direction for analytics reporting, ensuring design scalability, quality, and mentorship for engineers. Responsibilities include overseeing data ingestion, defining standards, and collaborating with cross-functional teams to deliver robust data systems.

As a Senior Associate, you will lead AI and analytics projects, developing models, data pipelines, and visualizations while collaborating with cross-functional teams.

Lead applications systems analysis and programming activities for the Wholesale Credit Risk Technology team, collaborating with teams to deliver tech solutions.

Lead the development of scalable distributed systems. Design software, mentor team members, and drive technical decisions. Collaborate across teams to create innovative solutions.

The Senior Cloud Engineer designs, builds, and operates secure multi-cloud solutions on Azure and AWS, focusing on infrastructure automation, CI/CD, and compliance.