Top Python Jobs in Toronto

As a Business Systems Analyst, you will design and deliver technology solutions for OTC derivatives, analyze workflows, and support testing and delivery efforts.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

The Head of Data will lead Float's data organization, unify data architecture, enhance decision-making quality, and drive customer insights within a fast-growth startup environment.

As a Business Analyst Student, you'll perform data analysis, develop dashboards, support process improvement projects, and assist in mentoring co-op students.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

As a Data Engineer at Homebase, you'll design, develop, and optimize data pipelines, manage data models, and enable AI-powered features, ensuring scalable and reliable data processes. You'll also partner with teams to drive continuous improvement and own projects from planning to execution.

The Linux Systems Specialist - Sr. will solve technical problems, manage client systems and enhance infrastructure while maintaining strong customer relationships.

The FPGA Development Tools Engineer will develop algorithms and models for FPGA timing and device mapping, optimizing for performance and working closely with hardware teams.

Seeking a Sr Silicon Design Verification Engineer to perform functional logic verification, develop verification plans, and debug issues in pre-silicon environments, collaborating with various teams.

Seeking a Software Developer to design and develop components in .NET, C#, and other languages, working closely with product and QA teams.

Design and implement end-to-end solutions for Generative AI applications, focusing on backend services and user-friendly frontend experiences while ensuring performance, security, and fault tolerance.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

Lead client engagements and own end-to-end solutions, prototyping while ensuring reliability and scalability. Mentor engineers and help define technical roadmap.

The Business Intelligence Analyst will design and maintain PowerBI dashboards, leverage data for strategic decisions, and optimize business processes while collaborating with cross-functional teams.

The Genesys Cloud CX Integration Engineer will design, implement, and maintain integrations between Genesys Cloud CX and various CRMs. Key responsibilities include configuring data flows, ensuring system reliability, and collaborating with analysts to validate requirements while staying updated on integration capabilities.

Lead and mentor a team of engineers, guide product direction, foster team growth, and ensure quality deliverables in performance monitoring tools.

As a Design Engineer on the Performance Team, you'll develop features focused on user experience and performance within Sentry's applications, collaborating with design and engineering teams to implement changes across the codebase.

The Senior Full Stack Engineer will develop key features for Sentry's user experience, owning projects from design to implementation, and mentoring other engineers.

As a Machine Learning Intern, you will lead projects, analyze data, write efficient code, and apply various ML techniques to solve problems at Pinterest.

The Early Career Data Scientist/Economist will use their expertise in economics and data science to drive strategic decision-making, develop forecasts, and collaborate on analytics strategies at EvenUp.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Staff Machine Learning Engineer will design ML systems, mentor engineers, work on AI product development, and improve legal data processing.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

The Data Scientist will analyze data, create dashboards using Power BI, model data in SQL, and develop predictive models to support decision-making within the firm.