Top Python Jobs in Toronto

The Motion Planning & Controls Engineer will develop software for robot motion, implementing algorithms for optimized control and ensuring performance and safety.

Lead technical design and implementation projects for generative AI, mentor engineers, and ensure scalable backend systems for AI solutions.

Lead and mentor a team of quality engineers, implement test strategies, develop automation tools, and ensure alignment with product requirements to enhance software quality.

As a Staff Software Engineer, you will architect and implement scalable Kubernetes infrastructure, mentor engineers, drive modernization efforts, and collaborate with teams to ensure robust infrastructure alignment with product needs.

The analyst will perform data mining, conduct research on backgrounds, prepare visual aids, and analyze patterns for investigations into insurance fraud.

As a Cloud Ops Developer, you will develop and manage cloud infrastructure, automate deployments, and maintain CI/CD pipelines while collaborating with teams.

Lead technical support for an AI voice platform, debug complex issues, build AI agents and automations, and oversee a support engineering team.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

As a Senior Quality Engineer, you'll lead testing infrastructure projects, collaborate with teams to enhance testing systems, and develop analytics tools while maintaining quality at scale for rapid development cycles.

Lead the design and implementation of complex behaviors for humanoid robots, integrating motion planning and new autonomy capabilities, while mentoring junior engineers.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The Senior Data Analyst will analyze gameplay data and A/B tests, build dashboards in Tableau, and collaborate with teams to drive product strategy and improvements.

The Staff Software Development Engineer will define technical vision, mentor engineers, oversee AI platform development and ensure scalability, reliability and security.

The Product Engineer will design and build features using Python, TypeScript, and React, ensuring high-quality outcomes through customer engagement and end-to-end ownership of projects.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

As a Senior Product Engineer, you'll drive product development, collaborate with cross-functional teams, and tackle technical challenges to enhance CoinTracker's cryptocurrency tools.

Engineer software that connects AI-driven platforms to datacenter power infrastructure. Develop control strategies and optimize energy use and AI workloads.

Develop and maintain tools to enhance efficiency for product developers. Collaborate with teams to identify pain points and drive initiatives for improvements in the development lifecycle.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Develop full stack applications for Bitcoin infrastructure, including designing APIs, web applications, and maintaining databases, in a collaborative environment.

The Intermediate Full-Stack Developer will design, develop, and maintain frontend and backend components, optimize APIs using Go and create user-friendly interfaces with React and TypeScript.

As a Senior Machine Learning Engineer specializing in Reinforcement Learning, you will develop and deploy RL solutions, optimize ML models, and lead client discussions while ensuring high-quality engineering practices are followed.

The Principal Engineer will architect and build scalable payments applications, mentor engineers, and collaborate on technology solutions while ensuring code quality and best practices.