Top Python Jobs in Toronto

As a Research Engineer, you will develop algorithms for world models focusing on generative and predictive modeling within complex environments, optimizing model deployment, and collaborating with research teams.

The Senior Cloud Engineer will design and maintain scalable cloud infrastructure, support CI/CD pipelines, develop automation tools, and ensure system availability and compliance across cloud services.

As a Senior Analytics Engineer, you will develop and manage analytical data architecture and modeling, lead AI analytics, and collaborate with various teams on scalable data solutions.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

The Senior Customer Support Consultant will assist clients with optimization, risk analysis, and product training, collaborating with sales and providing specialized guidance. Requires problem-solving skills and relevant educational background.

The Senior Product Manager will lead product strategy and execution, collaborating with cross-functional teams to enhance life sciences analytics products and meet customer needs.

This role leads application system design and implementation, drives collaboration across teams, manages projects, and mentors developers while ensuring risk compliance.

Lead technical vision and architecture for security-related platform integrations. Advise senior leadership on application/cloud security and DevSecOps, drive roadmaps, establish secure design standards, solve cross-cutting problems, and mentor senior engineers to improve platform scalability, security, and operations.

The Data Engineer designs and maintains enterprise data warehouse systems, develops data pipelines, ensures efficient data flow and storage, and collaborates with stakeholders on data-related solutions.

As a Data Developer, you will modernize data systems, develop scalable data pipelines, and maintain ETL processes while ensuring data accuracy and compliance.

Designs and delivers a scalable, secure AI platform, focusing on building distributed services using Akka to enhance AI solutions. Collaborates with teams to ensure high-performance infrastructure and meets regulatory compliance while innovating AI delivery processes.

The Lead Platform Reliability Engineer ensures platform stability, performance, and reliability through SRE practices, automation, and collaboration, while managing cloud-based infrastructure and incident responses.

The Sr. DevOps Engineer will enhance internal tooling for developers, design APIs, improve service reliability, and collaborate with teams for operational improvements.

Lead development of wealth analytics, reporting, automation, and LRC solutions. Design, validate, and deliver reports and dashboards, integrate and transform data, promote self-serve analytics, manage stakeholders, and ensure compliance and automation across processes.

The TDS Operations Analyst II is responsible for generating, reviewing, and executing trade confirmations for OTC derivatives, managing discrepancies, and improving operational efficiency.

The Software Engineer II will develop and deploy machine learning systems, manage model performance, and collaborate on AI solutions while ensuring reliability and scalability.

The Business Solutions Developer supports Retail Fundamentals by developing data products using Power BI and collaborating with teams to enhance business efficiency and sales through effective data insights and tools.

The role involves studying cellular diversity in cancer therapies using computational methods, developing novel algorithms, and disseminating research findings.

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

Assist in developing automation solutions for 5G products, research emerging technologies, and improve security practices while collaborating with the team.

The role involves adapting and showcasing Geotab solutions for partners and customers, requiring technical proficiency to understand and solve unique business challenges, while collaborating with various teams to deliver effective solutions and drive revenue growth.

Provide technical support to customers, troubleshoot issues, develop internal tools, and improve product documentation while collaborating with engineering teams.

The AI Developer role focuses on transforming customer support with AI tools, enhancing efficiency, response times, and customer experience through solutions like chatbots and workflow automation.

The Software Release Engineer will manage the release of NetBrain products, design and implement CI/CD workflows, and ensure feature coverage with development teams.

As a Business Solutions Developer, you will develop and maintain data products using Power BI and collaborate with teams to drive retail efficiencies and sales improvements.