Top Python Jobs in Toronto

Build and ship the App Runtime platform enabling rapid web app development and deployment. Work across frontend and backend (React, Go, Python, Java), author technical/design specs, partner with developer customers, improve quality/reliability, mentor engineers, and coordinate with AI, container platform, and security teams.

Design, build, and deploy scalable, secure machine learning solutions—with emphasis on recommender systems. Produce design docs and representative models, establish ML best practices and quality control, lead engineering efforts, and collaborate cross-functionally to integrate ML products using cloud, MLOps, and data engineering tools.

Design and harden mission-critical telecom infrastructure: SIP/VoIP signaling, RTP media flows, distributed backend and event-driven systems. Own architecture, reliability, operability, and performance across protocol, media, and API layers while using AI-augmented engineering workflows to accelerate development.

Responsible for financial settlements, reconciling transactions, analyzing settlement data, improving workflows, and collaborating across teams to ensure accuracy in financial reporting and support decision-making.

As an ML Infrastructure Engineer, you'll develop platforms and solutions for running ML jobs efficiently, establish CI/CD practices, and lead initiatives in technology alignment.

The Mission Engineer bridges communications physics and software orchestration, integrating and optimizing system models and software for wireless networks, diagnosing issues in live environments.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Lead and grow SQUIRE's Data organization as a player-coach, owning long-term data architecture, building reliable Snowflake pipelines, setting standards for modeling and data quality, hiring and budgeting for a 5+ person team, partnering cross-functionally, auditing integrations, and enabling AI/LLM use cases while remaining hands-on for high-risk technical work.

As a Site Reliability Engineer, you will design, implement, and maintain scalable infrastructure, ensure system reliability, automate processes, and collaborate with engineering teams.

As a Senior Digital Hardware Design Engineer, you will design complex PCBs, manage the design process, verify prototypes, and resolve customer issues.

Develop and optimize full-stack software and algorithms for robotic manufacturing systems. Design, implement, test, and integrate AI-driven software, run experiments to improve performance, participate in design and code reviews, and collaborate cross-functionally to deliver robust, scalable solutions.

The Forward Deployed Engineer will onboard customers, integrate OpenRouter into their systems, troubleshoot issues, and drive adoption of AI inference solutions.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

The role involves designing and improving optimization software, debugging, analyzing algorithms, collaborating with R&D and clients, and writing technical documents.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

The Ubuntu Engineering Lead will oversee and mentor teams, drive the development and delivery of high-quality software, and contribute to community engagement while managing technical roadmaps and cultivating engineering talent.

Design and automate internal IT systems: own Okta identity infrastructure, manage macOS fleet via MDM, build Terraform infrastructure-as-code for identity and SaaS, automate onboarding/offboarding and license governance, escalate complex tier 2/3 issues with MSP partner, pilot new SaaS/AI tooling, and produce runbooks to reduce operational toil.

The Senior Site Reliability Engineer will lead service onboarding, maintain SLAs/SLOs, design secure infrastructure, automate operational tasks, and respond to incidents while ensuring system reliability and performance.

Design and implement advanced automation frameworks and toolsets, define and execute test scripts, collaborate with teams to set test scope, resolve quality issues, optimize automation strategies across web, mobile, performance, and data automation, and support Agile projects.

Lead and manage QA teams and initiatives; design QA solution architectures across Agile/Waterfall/Hybrid lifecycles; set automation and performance testing strategies; select and implement tools and CI pipelines; act as technical consultant for clients and participate in presales; plan resources, risk analysis, and estimates; be a senior billable resource (~50% client-facing).

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.