Top Python Jobs in Toronto

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

Senior Technical Artist will design and optimize textures, shaders, models, and production pipelines; build tools and editor extensions (Unreal, Maya, Houdini); collaborate with Art, Engineering, and Design to ensure performant, multiplayer-ready art; profile and resolve rendering, memory, streaming, and shader performance bottlenecks.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Lead design and delivery of the integrations platform supporting 250+ integrations. Build APIs, integrations, tooling, and observability; engage customers; optimize performance and scalability; set architectural direction and best practices.

Lead design and implementation of a scalable data platform handling petabytes of telematics and time-series data. Build and optimize streaming and batch pipelines, design storage solutions, implement observability and data lineage, manage HA infrastructure, and write maintainable Java/Python code while shaping long-term architectural strategy.

Design, build, and maintain CI/CD pipelines, developer platform tooling, and IaC for a large Nx monorepo. Improve release safety, observability, and reliability; support Kubernetes deployments, GitOps flows, and platform security; coach teams on DevOps best practices and developer experience.

Develop and maintain InstaLILY's AI agents platform, collaborate with product/design/growth and enterprise stakeholders, ship customer-facing features, ensure reliability via testing and CI/CD, and iterate on feedback while staying current on AI trends.

The Senior Full-Stack Engineer for AI Platform will design and implement frontend and backend components, ensuring high-quality code, system performance, and collaboration across teams. The role emphasizes delivery, architecture, and testing discipline in a fast-paced environment.

Build production-grade UiPath automations and Claude-powered AI agent workflows, integrate with enterprise systems (APIs, ERPs, CRMs), write custom Python/JS/C# components, create reusable libraries, run unit tests and UAT, and participate in two-week agile sprints to deliver and stabilize automation solutions.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

Senior backend engineer responsible for building and owning APIs and partner integrations, optimizing database and service performance, debugging production issues using observability (logs, metrics, traces), mentoring engineers, and guiding architecture and scalability decisions while shipping reliable Python/Django services.

The Machine Learning Engineer II crafts and deploys advanced AI solutions leveraging machine learning technologies, focusing on real-world applications and scalable systems. Responsibilities include coding for model deployment, managing large datasets, and working within a collaborative AI team.

Lead design and implementation of scalable data models, ETL/ELT pipelines and migrations to Snowflake/Databricks. Optimize data workflows, ensure data quality and governance, support analytics reporting, and provide technical leadership to junior engineers while collaborating with stakeholders to deliver data-driven solutions.

The role involves designing and developing front-end and back-end components, mentoring team members, ensuring system efficiency, and optimizing platform performance in a collaborative team environment.

Conduct research on safe, reliable embodied AI for robotic manipulation and autonomous decision-making. Develop and evaluate reinforcement learning, imitation learning, and learning-from-demonstration methods; leverage negative data, human feedback, and corrective demonstrations; design and train Vision-Language-Action and Vision-Language models; implement and test models in simulation and on real robotic platforms; collaborate to translate research into scalable prototypes and publish results.

Lead and grow the hardware test engineering team to deliver test infrastructure, procedures, automation, and evidence packages for satellite hardware. Oversee validation, qualification, production test strategy, reliability campaigns, cross-functional alignment, and scalable processes while coaching engineers and advancing test automation, data systems, and facility capability.

Design AI algorithms for various applications in site-monitoring, maintain and improve services, and collaborate effectively with the team.

Design, implement, and maintain high-performance SBT Content microservices for P&C insurance. Collaborate in agile teams, apply AI-assisted coding, ensure test coverage, CI/CD, observability, and scalable cloud deployments.

Seeking a motivated Software Developer to design and develop software applications, collaborate on architectural standards, and engage in agile practices.

As Engineering Manager for Sales Planning, you will lead a distributed team to develop tools for sales organization planning, partnering with Product and Design while ensuring quality execution and team growth.

Develop and execute test plans and automated testing, mentor junior QA engineers, and ensure software meets quality standards and customer requirements.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

Lead the verification of Serdes systems, develop UVM/SV testbenches and test cases, and mentor junior engineers while ensuring design quality and integration.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

As a Power Architect at Tenstorrent, you'll drive architectural strategy to optimize power across AI compute systems, using advanced estimation tools and modeling techniques.