Top Python Jobs in Toronto

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

The Senior Machine Learning Engineer will design and optimize ML/AI systems, lead model development, and collaborate cross-functionally to advance digital forensics.

The Senior Site Reliability Engineer will ensure system reliability, implement automation, monitor performance, and collaborate on service objectives and incident responses.

The Senior Principal Software Developer will lead the integration of advanced Computational Design and Automation into Autodesk's products, manage technical strategies, mentor junior developers, and ensure robust system performance.

As a Software Developer at Autodesk, you will develop, prototype, and maintain civil engineering software, collaborating with teams on quality assurance, Agile methodologies, and software architecture.

As a Software Engineer at Point, you will support Docket Operations by implementing features, maintaining code, debugging, and collaborating with product and design partners, while growing your technical skills.

The Senior QA Automation Engineer ensures software reliability and quality through the design and execution of testing strategies, collaborating with cross-functional teams to enhance healthcare technology solutions.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

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

C++ Developer needed for risk reporting platform in Capital Markets. Responsibilities include improving systems, user training, troubleshooting, and supporting production environments.

Build and lead scalable observability integrations and Kubernetes monitoring for Grafana Cloud. Design ingestion pipelines, middleware, dashboards, alerts, and infrastructure; mentor engineers; drive technical direction and contribute to open-source observability projects.

Lead the development of secure and scalable SaaS applications focusing on AI/ML integrations and backend systems, while collaborating across teams to optimize functionality and performance.

Lead the software evolution of sequencing technology at Roche, bridging data science and software engineering, focusing on scalable and reproducible systems for DNA analysis.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Support securities finance trading, monitor transactions, assist with analysis, enhance tools and processes using Excel, Python, and SQL.

Lead the integration of AI in CPU/SoC design and verification. Build AI copilots for workflows, partner with EDA vendors, and define methodologies for CPU design improvement.

The Software Developer will design and develop components in .NET and C#, manage deliverables, and collaborate closely with product and QA teams.

The Associate Quality Engineer will test and improve infrastructure, create documentation, and optimize testing for cloud-based services, working collaboratively with engineers.

Lead and manage multiple software engineering teams, ensure successful project delivery, establish technical standards, and promote team growth and collaboration.

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.

The Solution Engineer collaborates with sales teams, presenting Snowflake technology, demonstrating its value, and aiding in the closure of business deals while understanding customer needs.

The Solution Engineer presents Snowflake technology, collaborates with customers on proof of concepts, and improves products through teamwork. Must possess strong presentation skills and extensive database knowledge.

Lead systems engineering for Compliance and Legal technology, implementing scalable solutions, driving regulatory compliance, and mentoring engineers.

As a Process Engineer, you'll enhance software delivery teams' reliability and efficiency through incident management, change enablement, and operational improvements in a cloud-based SaaS environment.

The role focuses on building AI-powered systems for observability and automation in cloud-native platforms, enhancing reliability through intelligent solutions and machine learning.