Top Python Jobs in Toronto

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

The Embedded Software Test Automation Designer will create and maintain automated tests and infrastructure, ensuring software quality in embedded systems through effective verification strategies and tools.

The Senior Cloud Platform System Engineer will maintain infrastructure reliability using IaC, automate operations, and ensure production stability across regions while participating in incident response.

Lead end-to-end delivery of AI solutions for Risk, Legal, Procurement, and Compliance, focusing on fraud/financial-crime detection. Shape roadmaps, manage multidisciplinary teams, perform hands-on AI engineering and prototyping, ensure security, governance, model risk and responsible AI, and drive enterprise integration and adoption to realize measurable business outcomes.

Develop and test embedded software for satellite on-board systems, payloads, IoT modules, and ground equipment. Work on Embedded Linux, firmware/drivers, and RTOS projects; write tests and documentation; participate in design and code reviews; collaborate with electrical, digital design, and operations teams to define system architecture.

Design and build scalable ETL data pipelines and RESTful APIs/microservices. Improve performance, monitor and troubleshoot data flows, ensure data security/compliance, write tests, and collaborate cross-functionally.

Lead architecture and development of an internal agentic AI research platform and automation systems. Build scalable, reliable pipelines, SDKs, APIs, and developer-facing tools; enforce engineering standards, mentor engineers, and partner with researchers to translate needs into production-ready developer tools and services.

Design and implement scalable ETL/data pipelines using Python and Airflow; collaborate with technical and non-technical stakeholders to define requirements; build internal tools; mentor and lead small engineering pods; ensure reliable integration architecture and database schema/performance optimization; explore and apply AI technologies to enhance the platform.

Design, develop, test and maintain cloud-based data applications and infrastructure on AWS. Build and optimize ETL and streaming pipelines, support CI/CD and infrastructure as code, and collaborate with stakeholders to improve performance and deliver technical solutions independently.

Design, build, and deploy complex distributed microservices and cloud-based systems. Implement RESTful APIs, third-party integrations using SDKs, and manage package release cycles (CI/CD). Work with AWS/GCP, NoSQL (MongoDB/Elasticsearch) and SQL databases while providing technical leadership and strong cross-team communication.

Lead and grow an STA team responsible for timing closure and signoff of advanced FPGA designs. Define STA methodology and flows, drive timing analysis, debug violations, collaborate with RTL, synthesis, P&R and architecture teams, and deliver timing-driven PPA improvements and on-time closure across multiple programs.

Perform static timing analysis and timing signoff for FPGA/ASIC designs, debug and resolve timing violations, develop and validate timing constraints, collaborate with RTL/synthesis/physical design teams, and improve STA methodology and automation to optimize performance, power, and area.

Design, build, and operate core control plane systems that manage customer identity, placement, replication, and lifecycle across a multi-cell distributed architecture. Improve reliability, scalability, observability, and provide infrastructure primitives and APIs. Partner with teams, respond to incidents, and ensure safe global platform operation.

The Manager – Analytics & Reporting will lead the enhancement of data visualization and analytics for business decisions, developing reporting tools and AI solutions. Responsibilities include dashboard design, data analysis, and collaboration with stakeholders on improved analytics solutions.

Lead a team of analysts to deliver enterprise analytics and revenue reporting, ensure data accuracy and governance, manage data repositories and pipelines, create dashboards and executive reports, validate models and processes, and translate complex data into actionable business insights.

Lead technical vision, architecture, and operations for post-production and VFX engineering. Oversee infrastructure (storage, networking, render farms), pipelines, automation, cloud and on-prem systems, security/compliance, budgeting, vendor relationships, and mentor engineering and pipeline teams to ensure scalable, reliable delivery for editorial, finishing, and VFX workflows.

Build and operate scalable ML and generative AI platforms: deploy LLM-based solutions, design CI/CD and model pipelines, manage cloud infrastructure (Kubernetes, IaC), monitor and troubleshoot production models, evaluate ML tools, and collaborate cross-functionally to deliver and govern reliable AI features.

Design, deploy, and tune L2/L3 enterprise and data-center networks; maintain high-capacity links and routing protocols; automate tasks with Python/Ansible/Terraform; respond to P1/P2 incidents on a 24×7 on-call rotation; collaborate with InfoSec to harden configs and maintain runbooks and diagrams.

Design and run experiments, apply statistical analysis and ML (including GenAI/LLMs) to product and business problems, build and deploy predictive models, collaborate with product/marketing stakeholders, ensure data quality and governance, and communicate actionable insights to influence strategy.

Design, develop and maintain build and automated deployment systems, CI/CD pipelines, and middleware configurations. Collaborate with development, QA, operations and business partners to deploy applications to Azure DevOps/OpenShift/Linux, provide on-call support, and drive DevOps cultural change and automation improvements.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.

Develop algorithms for processing sensor data, fuse multi-modal streams, aid in 3D scene reconstruction, and ensure robust production code primarily in Python.

Responsible for designing and maintaining build and release pipelines for autonomous driving software, optimizing development workflows, and collaborating with teams.

The Modeling Development Engineer will integrate and validate software for microcontroller firmware and silicon models, leveraging expertise in silicon design and modeling development practices.