Top Python Jobs in Toronto

Support robotics research by modeling mechanical components and PCBs, developing and debugging robot code (ROS2/Python/C++), integrating sensors, actuators, and microcontrollers, and preparing technical reports, assembly procedures, and BOMs to advance prototypes toward manufacturing within a human-machine interaction research team.

Build voice-first multimodal prototypes and demos using on-device and cloud tools. Integrate speech toolkits (ASR/TTS), implement interaction logic combining audio, camera, and touch, run basic latency/usability tests, and document results while collaborating with researchers and designers.

Provide analytics support to business lines and finance through data analysis, automated workflows, BI reporting, advanced analytics and generative AI. Engage stakeholders, present findings to senior leaders, improve processes, and implement cloud-based data solutions.

Provide L1/L2 production support for Equities Derivatives pre-trade systems, troubleshoot distributed architectures, manage incident lifecycle, monitor intraday and end-of-day processes (risk, PnL, market data), escalate and collaborate with development teams, follow ITIL incident/problem/change processes, participate in on-call rotas, deployments, and disaster recovery testing.

Lead design, development, and maintenance of large-scale Python-based generative AI platforms and services. Collaborate with data science, technical, and business stakeholders to define architecture, deploy GenAI products, enforce coding standards and testing, mentor mid-level engineers, manage multiple projects, and ensure governance, risk, and controls for enterprise-grade AI solutions.

Lead and contribute to BSP-level embedded software for communication, networking, and video applications. Develop device drivers, manage kernel configurations, use Yocto/PetaLinux, integrate and debug FPGA SoCs and hardware, set architecture and technical direction, mentor teams, work with customers, and apply best practices for maintainable, high-quality code.

Support data integration, quality, analysis, and visualization efforts. Collaborate with cross-functional teams, build dashboards and reports (Tableau/Excel), perform exploratory analysis, and support data engineering and modeling to deliver business insights and recommendations.

Design and build high-performance SQL and Python data pipelines across PostgreSQL, BigQuery, Snowflake, and MongoDB. Implement RisingWave streaming and Kafka architectures, orchestrate workflows with Airflow on GCP, enforce data quality, deploy CI/CD for pipelines, and mentor teammates while collaborating with business stakeholders.

Lead development and maintenance of the core data platform: build performant pipelines, data warehousing, and ML infrastructure; partner with data scientists to produce production datasets; ensure data governance, quality, lineage, and accessibility; integrate cross-platform data sources; automate reporting and deliver stakeholder insights to enable data-driven decisions.

As a Product Engineer, you'll design and deploy scalable software solutions for a global SaaS platform, collaborating with teams, ensuring code quality, and resolving technical issues in an Agile environment.

Lead and grow an engineering team for a large-scale SaaS product, providing hands-on technical leadership, code reviews, and architecture guidance. Collaborate with Product and Design to set roadmaps, contribute to implementation, hire and coach engineers, and support career development and team performance. Foster a feedback culture and adapt processes and technology, especially around AI.

Design and build scalable test automation using Python and tools like Playwright, integrate tests into CI/CD, drive shift-left quality practices, define and execute test plans, coach engineers, and improve test stability and coverage within an Agile SDLC.

Provide portfolio construction consultation and coaching to financial planners; develop and support managed and model portfolio solutions; analyze advisor books of business and holdings; prepare reports, presentations and training; support transitions to scalable managed solutions and collaborate with internal investment, product, and practice teams.

Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

The Senior Actuarial Analyst develops and maintains pricing models, supports data science initiatives, monitors performance metrics, and helps enhance market pricing strategies.

Design and develop photonics architecture solutions for high-volume products, collaborate with engineering teams, and validate models through experiments.

Lead the design, development, and deployment of FPGA-based systems for satellite payloads, overseeing a diverse team while ensuring high-quality and efficient project execution.

The Senior Data Developer will build and operate a CDC streaming platform, managing Kafka and Flink infrastructure, ensuring reliability, and creating CI/CD pipelines for data streaming applications.

The Senior Data Scientist provides analytical support for campaign execution, utilizing data insights and machine learning techniques to solve business problems, establish predictive models, and lead data-driven solutions.

The Software Engineer will refine the existing React app and build new features, acting as the frontend expert to debug issues. They will collaborate with a high-performing team in an in-person environment and focus on delivering a polished customer experience.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

The Cloud and DevOps Developer will provide cloud infrastructure builds, implement DevOps best practices, and participate in Agile project delivery.

The Cloud and DevOps Developer will implement DevOps best practices, design cloud solutions, collaborate with teams, and manage infrastructure projects.