Top Python Jobs in Toronto

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

The Senior Backend Developer will design and maintain automated infrastructure, manage CI/CD pipelines, develop scripts, and collaborate with engineering teams to enhance developer tooling and platform engineering initiatives.

Lead a team of ML engineers and data scientists to develop AI solutions that enhance educational support. Oversee project execution, manage stakeholders, and ensure ethical AI practices.

Lead financial planning, analysis, and reporting, manage budgeting and forecasting processes, collaborate with teams, and provide financial insights.

Interns will develop cutting-edge LLM applications, optimize prompting, and improve user experience, while collaborating with full-time engineers and receiving mentorship.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

As a Data Engineer at Afresh, you will develop data pipelines, improve integrations, and streamline data processing to combat food waste.

Design and implement software for robotic systems, focusing on motion planning, control, perception and sensor fusion. Collaborate cross-functionally to deliver scalable solutions.

The Data Engineer develops and maintains data pipelines, supports analysts, and builds solutions for data processing and analysis in a collaborative environment.

Looking for a Senior SDK Engineer for Android to design, build, and support mobile SDKs aimed at helping developers monetize their apps effectively.

The Senior iOS SDK Engineer will design, build, and support SDKs for in-app subscriptions, focusing primarily on iOS while also engaging with Android and hybrid SDKs. Responsibilities include shipping high-quality products and collaborating effectively in a remote team.

Canonical seeks Graduate Software Engineers to work on open source software. Responsibilities include coding, engaging with users, and participating in global sprints. Role requires a strong academic background and confidence in programming languages.

Design and implement cloud threat detection strategies, collaborating with Platform Engineering and Security Operations for robust security solutions.

The Quantitative Analyst will enhance treasury and liquidity operations, develop asset allocation models, conduct risk assessments, and collaborate with internal teams to design financial mechanisms and tools.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

Develop platform driver code, perform diagnostics testing, collaborate with hardware engineers, and support system deployment in AI datacenters.

As a Software Engineer, you will design, implement, and optimize software solutions, collaborate with teams, and support various stages of development while shaping company culture.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

The Senior Machine Learning Developer will enhance ML model deployment, analyze system performance, and improve operational efficiency while collaborating with applied scientists on projects.

In this role, you'll lead the development of data-driven AI solutions in commerce, collaborating with scientists and PMs, running experiments, and building analytical tools.

As a DevOps Engineer, you will design, automate, deploy and maintain systems and cloud infrastructure, focusing on high availability, security, and performance for blockchain services.

The Senior Database Engineer is responsible for managing and optimizing MySQL databases on AWS, improving database architecture, and collaborating with developers to enhance data workflows. The role requires extensive experience in SQL and AWS services, along with strong documentation and communication skills.

Design and implement backend systems for a trading platform, build data pipelines, and collaborate in the software development life cycle.

As a Solutions Architect, you will design and deliver solutions for enterprise clients in the blockchain ecosystem, aligning technical strategies with business goals, and driving adoption through innovative solutions and tooling.

The role involves leading AI-driven software solutions, driving strategy, architecture, and execution of end-to-end systems while mentoring engineers and working directly with clients to improve workflows.