Top Python Jobs in Toronto

Design and develop customer-facing web and backend services, collaborate with UX/UI designers, and ensure code quality in the Mobile Game Tech organization at Zynga.

As a Staff Software Engineer on the New Products team, you'll build and launch innovative technology to improve workflows for personal injury cases, impacting millions of lives.

As a Senior Software Engineer on the New Products team, you'll build and launch new technologies that improve personal injury workflows, impacting victims' lives directly.

The DevOps Engineer will manage cloud infrastructure, automate deployments, and optimize application performance while ensuring system uptime and reliability.

The Head of Fraud will develop data-driven strategies for risk mitigation, lead a new team, and partner with various departments.

The Kubernetes Platform Engineer is responsible for managing container technologies, designing solutions, implementing CI/CD, and providing on-call support while improving technology capabilities.

As an Applied AI Scientist, you'll develop and deploy AI models, collaborate with cross-functional teams, and analyze metrics to support business goals.

As a Data Scientist, you will design, develop, and deploy machine learning solutions using Microsoft Azure, collaborating with clients to meet their business needs.

Manage and grow the embedded software team, ensuring high-quality software delivery while providing technical guidance and leadership in a fast-paced environment.

The role involves developing AI/ML features, collaborating with teams, optimizing model performance, and maintaining robust software engineering practices.

The Manager, Investment Risk will provide risk management advisory for acquisitions and develop insights through risk analysis. This role involves collaborating with investment teams, creating risk reports, and enhancing risk function infrastructure.

As a Senior Data Solution Architect, you'll design and implement scalable data solutions, manage key data domains, and ensure data quality while collaborating with stakeholders to meet business needs.

As a Data Engineer, you will manage data pipelines, optimize data models and ETL processes, and collaborate across teams to enhance data-driven decision-making for Lyft's Urban Solutions.

Responsible for developing and maintaining data pipelines, monitoring data quality, and collaborating with teams to support decision-making processes at Lyft.

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.

The Associate Director, Analytics & Insights will lead analytics strategies, oversee data analysis for marketing effectiveness, and manage a team of analysts to drive actionable insights for clients in healthcare marketing.

As a Full Stack Software Engineer, you'll contribute to product initiatives, collaborate with cross-functional teams, and build scalable web applications.

Join Tenstorrent as a Senior Machine Learning Engineer responsible for developing AI application demonstrations and APIs. Experience in Kubernetes and AI frameworks is valued.

The Portfolio Manager manages discretionary investment solutions, oversees trades, contributes to investment strategies, and enhances advisor collaborations. Responsibilities include compliance reporting, client presentations, and team support.

As a Data Scientist in NLP/NLU, you will analyze customer interactions, enhance AI platforms, and guide product development through insights derived from data and NLU improvements.

As a Senior Full-Stack Developer at ODAIA, you will enhance the SaaS AI platform, manage software backlogs, collaborate with teams, and mentor peers while delivering custom solutions for enterprise clients.

Lead a technology team to build scalable solutions in Investment and Fund Finance, implementing complex software development processes and leveraging cloud-native applications.

The Senior Data Engineer will design and implement scalable data solutions, manage data onboarding, develop automation tools, and serve as a data integration expert while collaborating with internal teams.

Architect and build AI enriched systems, focusing on full stack development and integrating AI capabilities while ensuring performance and reliability. Collaborate with stakeholders to convert ambiguous requirements into actionable plans and maintain high code quality using AI tools.