Top Python Jobs in Toronto

This internship offers hands-on experience for a Master's level student, focusing on developing and maintaining IT systems, using various programming languages and technologies, and participating in Agile teams.

The Strategic Operations Lead will drive high-impact cross-functional initiatives, support company objectives, and ensure alignment across the organization, contributing to the company's growth strategy.

As an Engineering Manager at Wave, you'll oversee a team of engineers, handling project planning, team growth, and system reliability while collaborating across departments to deliver high-quality software solutions.

The Backend Software Engineer will design, develop and maintain backend services, collaborate with teams in an Agile environment, and ensure database performance and integrity.

The Senior Infrastructure Engineer will architect and implement scalable infrastructure systems, focusing on automation and operational excellence across hybrid cloud environments while collaborating with multiple technical teams.

Lead the Perception engineering team, focusing on full-stack development, project management, and driving engineering excellence to support AI systems.

The role involves database engineering in financial services, focusing on RDBMS and NoSQL technologies, performance optimization, and supporting trade data infrastructure.

The Full Stack Developer will build and execute surveillance models for fraud detection, collaborating with Risk and Compliance teams using various technologies and methodologies.

Join the Market Risk Technology team to develop software that measures market impacts on portfolios, collaborating globally to enhance risk management tools.

The role involves managing Linux systems, scripting, and developing standards for data protection while working independently and as part of a team.

As a Splunk Administrator, you will manage and enhance a security analytics platform, onboard data sources, develop automation, and provide consultancy.

The Site Reliability Engineer collaborates with development teams to create efficient solutions, ensures deployment consistency, and improves developer experience through tooling.

Manage Enterprise Linux environments focusing on Data Leakage Prevention, configure security protocols like SMTP and TLS, and handle incident management. Collaborate with teams for security operations, and utilize scripting in Python or PowerShell.

The IT Specialist will manage tech pro bono programs, provide technical support for projects, and assist with vendor product integrations while ensuring alignment with diversity and inclusion goals.

As a Junior SRE Engineer, you will support Engineering & Operational tasks, enhance services through automation, and participate in design discussions and knowledge sharing.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

Seeking a DevOps Engineer to enhance technology operations, develop efficient solutions, manage risks, and ensure a fast deployment pipeline.

The Senior Machine Learning Engineer will build and enhance AI/ML solutions for risk management, using advanced techniques like LLMs and algorithms for predictive analytics and automated assessments.

The Staff Machine Learning Engineer will develop and deploy advanced AI/ML solutions, focusing on product features like predictive analytics and risk assessments, using LLMs and classical ML techniques.

The Senior Software Engineer will design and build data pipelines, ensuring data quality and scalability while collaborating with researchers and product teams to analyze user vote data.

The Machine Learning Engineer will scale core infrastructure, manage data pipelines and model evaluation, and improve benchmarking systems. Collaborate with teams to enhance AI evaluation methodologies.

The Senior Product Analyst will analyze player data, generate insights, collaborate with teams, and drive product enhancements for the Monopoly GO! Chat team.

The Machine Learning Scientist will design experiments, analyze AI model behaviors, and develop metrics to improve model evaluation, collaborating closely with engineers and product teams.

Lead open-source research in AI, design experiments, develop methodologies, and analyze data to enhance model evaluation and transparency.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.