Top Python Jobs in Toronto

The role involves developing data infrastructure, automating processes, creating visual dashboards, and facilitating self-service analytics using various Microsoft tools for business risk management.

Design and implement scalable systems and REST APIs. Collaborate with teams, mentor others, and ensure software quality. Troubleshoot technical issues and drive best practices.

As Safety Operations Lead, you will manage data annotation projects to enhance AI safety, overseeing internal and external teams while ensuring quality and efficiency.

As a DevOps Developer, you'll design and maintain Python-based services on AWS, manage CI/CD pipelines, optimize databases, and collaborate with teams to enhance features, ensuring security and uptime.

Lead technical initiatives in ML product development focusing on LLM and NLP systems. Mentor engineers, design models, and oversee data strategies while ensuring operational excellence and model performance.

The Data Transfer Engineer manages, operates, and optimizes Axway Managed File Transfer services while migrating these services to Kubernetes and implementing IaC principles.

The Microfluidics Engineer will design, develop, and test microfluidic systems, collaborate with teams, and ensure timely results for IVD systems.

As a Senior Software Engineer at Carta, you will enhance fund operations by building reliable systems, leveraging AI, and developing flexible reporting pipelines to optimize fund management processes.

Lead a front-end development team while actively coding and providing technical guidance. Oversee project delivery, team mentorship, and collaborate with other teams to enhance user experience and system scalability.

Develop and maintain full stack software solutions for lidar products, manage cloud infrastructure, and optimize performance in a Linux environment.

As a Senior Software Engineer, you will develop software for supply chain and risk management, focusing on APIs, microservices, and automation.

Drive advancements in CI/CD, ensure build system reliability, develop tooling for remote environments, and promote engineering excellence.

As a Fund Accountant, you will manage fund accounting, reporting, and post-trade operations while collaborating with finance and technical teams.

The Data Analyst will analyze large datasets, develop reports, and collaborate with various teams to improve player engagement and experience.

Lead Software Engineer responsible for developing and implementing technology solutions in the Capital Markets and Factor Investing technology team, focusing on enhancing trading efficiency and driving business growth.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

Join Vosyn as a Prompt & Agentification Engineer Intern to design and optimize AI prompts, collaborate with engineers, and analyze outputs in a fast-paced environment.

The Principal Software Engineer will lead the design and development of Autodesk's AI/ML platform, focusing on system design, workflow automation, ML solution deployment, and collaboration across teams to enhance product capabilities.

The Senior Site Reliability Engineer manages AWS infrastructure, ensuring reliability and performance. Responsibilities include architecture, cloud automation, CI/CD processes, and operational support.

The role involves researching and implementing physics-informed AI/ML algorithms, designing workflows, mentoring, and collaborating with researchers to advance simulation and design tools for Autodesk.

The Python Lead Developer will oversee projects, requiring expertise in Python and related technologies, with a focus on database migrations and generative AI skills.

As an Agile Test Engineer, you will design and execute testing strategies, leverage AI in testing processes, and collaborate with teams to ensure software quality across various applications.

The Senior Data Engineer will design and manage data pipelines, work with diverse teams on data solutions, and engage in R&D initiatives.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

The Applied Data Scientist role involves analyzing complex data, turning problems into analytical plans, and deploying scalable data applications while collaborating with teams.