Top Python Jobs in Toronto

The IT Operations Automation Engineer develops automation solutions, identifies automation opportunities, partners with stakeholders to improve workflows, and provides technical support.

The Software Developer will design, build, deploy, and maintain software tools and infrastructure for quantum hardware development, ensuring code quality, collaboration with engineers, and supporting production processes.

As a Software Developer at Xanadu, you will design visualization interfaces, maintain a Python backend, and optimize performance for quantum computing tools while collaborating with diverse teams.

The Principal Security Software Developer will design, develop, and maintain Autodesk's data platform infrastructure, ensuring security and collaboration with product and engineering teams. Responsibilities include managing secure data solutions, integrating secure SDLC practices, and fostering a culture of innovation and technical excellence.

The Azure CloudAI Ops Engineer supports health outcomes by maintaining reliable SaaS services on Azure, automating operations, and collaborating with dev teams to improve healthcare technology.

As a Fullstack Software Engineer, you'll collaborate with multi-functional teams to enhance AI-driven solutions, participate in software development best practices, and take ownership of various platform functional areas.

As a Fullstack Software Engineer, you'll enhance Evisort's AI-driven contract management platform by collaborating with cross-functional teams and taking ownership of multiple functional areas from development to production.

The AI Program Manager & Developer will lead AI initiatives, develop custom GPTs, oversee implementation in customer support, and drive strategy alignment with AI governance and business objectives.

As a Senior Site Reliability Engineer, you will own AWS infrastructure, ensure reliability, and enhance deployment processes, primarily working with Kubernetes and Terraform.

The Senior Site Reliability Engineer will manage cloud infrastructure, improve reliability, enhance security, and collaborate with teams to design reliable systems.

The Principal Platform Engineer will design and implement AI platforms, including distributed systems and orchestration frameworks, mentor engineers, and define best practices for LLM integration.

The Principal Platform Engineer will design and build scalable ML platforms, develop cloud-native infrastructure, and manage the model lifecycle in enterprise environments, focusing on MLOps capabilities and mentoring engineers.

The Senior Platform Engineer will build AI systems, develop APIs, support scalability, and integrate AI capabilities for financial services clients.

RAVL is seeking Senior ML Platform Engineers to build and scale machine learning platforms, develop ML pipelines, and support MLOps workflows in cloud environments.

The Senior Data Analytics Engineer designs and builds scalable data platforms, maintains ETL pipelines, optimizes SQL Server environments, and develops reporting dashboards to support data-driven decision-making.

Build and ship applications to optimize grocery operations, collaborate with teams, ensure software quality, and support feature development with machine learning specialists.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

The Senior ASIC Design Verification Engineer is responsible for digital SoC verification, collaborating with architects and engineers to validate automotive communication semiconductors and systems.

As a Senior Machine Learning Engineer, you will create machine learning solutions, optimize models, and lead client projects using cloud technologies.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Drive AI-enabled ASIC development methodology by identifying cross-stage bottlenecks, building data pipelines and metrics, creating automation and AI models, mentoring engineers, and evaluating advances in AI and EDA to improve predictability, convergence, and cycle time.