Top Python Jobs in Toronto

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

The Senior ML/RL Engineer will develop behavior models, implement RL algorithms focusing on safety, design reward functions and optimize training environments while collaborating across teams.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

Develop and deliver user-friendly software for B2B SaaS products. Collaborate with teams on both front-end and back-end development.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

As a Senior Software Engineer, you will design and deliver user-friendly software, manage APIs, and create scalable microservice architectures.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Responsible for designing and maintaining build and release pipelines for autonomous driving software, optimizing development workflows, and collaborating with teams.

The role involves end-to-end machine learning lifecycle management, including data processing, model development, rigorous testing, and production deployment, focusing on large quantitative models for AI-first products.

The Machine Learning Engineer will manage the ML lifecycle, develop models, ensure performance, and collaborate with a diverse team to build AI-first products.

The Product Analyst will identify growth opportunities, evaluate product changes through A/B testing, build dashboards, and communicate insights for data-driven decisions.

As a Junior Software Engineer, you will develop full stack features for an AI-powered web application, integrating AI models and collaborating with senior engineers. Responsibilities include building backend services and creating user experiences while participating in design discussions and code reviews.

As an AI-Driven Full Stack Engineer, you'll design and implement features for an AI-powered web application, working across the stack and integrating AI models to transform insurance processes.

As a Senior Software Engineer in Data Acquisition, you'll design and build scalable data ingestion pipelines, ensuring performance, quality, and governance across various data domains and ingestion patterns.

The Modeling Development Engineer will integrate and validate software for microcontroller firmware and silicon models, leveraging expertise in silicon design and modeling development practices.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

Develop and enhance a Python optimization service to improve scheduling capabilities, partner with PM and design teams, iterate based on user feedback, and integrate scheduling intelligence into the platform.

Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.

This role involves ensuring customer success by providing technical expertise, driving onboarding, managing customer relationships, and optimizing product adoption, while addressing challenges and mentoring team members.

The Agentic AI Engineer is responsible for deploying, executing, and improving Machine Learning solutions, creating scalable systems, and collaborating with teams to drive strategy and business value through analytics.

Develop software and systems for embedded platforms at Aquabyte, focusing on sensor interfaces, network reliability, and hardware diagnostics while collaborating with research teams on machine learning models.

Develop algorithms for processing sensor data, fuse multi-modal streams, aid in 3D scene reconstruction, and ensure robust production code primarily in Python.