Top Python Jobs in Toronto

Embed with enterprise customers to design, integrate, and deploy production agentic AI workflows. Wire platform into data, identity, and internal systems, lead security and procurement reviews, drive adoption, and feed product improvements to accelerate future deployments.

Lead credit policy and underwriting initiatives using Stripe's data and third-party sources. Architect credit policies, analyze portfolio trends, integrate bureau and alternative data, provide risk recommendations, collaborate with product, data science, engineering, and capital markets, and scale risk processes and outsourced workflows.

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.

Join a small engineering team to build and maintain full stack web applications and backend services using React, Python, Go, C++, PostgreSQL, and AWS. Contribute to APIs, responsive frontends, CI/CD, monitoring, debugging, and engineering best practices while collaborating on cloud-native distributed systems.

Design, build, and support data services, pipelines and internal data architecture. Collaborate on product development, analyze and organize raw data, improve data quality, define best practices, and identify acquisition opportunities to support business insights and member-facing services.

Provide technical support and debugging for Web3 customers, reproduce issues, write scripts to diagnose problems, manage refunds/Stripe, document processes, and translate escalations into actionable items for engineers.

Own day-to-day GTM revenue systems and build AI-native automations. Responsibilities include Salesforce administration, n8n workflow development, deal desk and commissions support, tooling administration, integration monitoring, and converting repetitive tasks into automated, agentic workflows using Claude Code and other AI tools.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Lead end-to-end application and product security for a Kubernetes-based multi-tenant platform. Perform deep security reviews of Go services, Kubernetes controllers, and frontends; lead threat modeling; integrate automated security checks into CI; manage vulnerability lifecycle; develop security-related features; and train developers on secure coding and attack vectors.

Design, build, and operate high-performance distributed inference systems that route requests, autoscale compute across accelerators, deploy new models, integrate new hardware, and tune performance for millions of users while enabling research workflows.

Lead marketing measurement and analytics across campaign, channel, and funnel; own attribution and forecasting; apply ML/LLM techniques for propensity scoring, forecasting, anomaly detection, and automated insights; manage marketing data stack (Salesforce, MAP, warehouse); build dashboards, deliver executive analyses, and mentor analysts.

Design, build, and scale security infrastructure across systems, networks, endpoints, and products. Own security architecture, detection/response, vulnerability and risk management, and security policies. Integrate security into the SDLC, partner with engineering, run incident response and monitoring, lead security education, and temporarily own IT infrastructure.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Embed with a business unit to define analytic problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end using SQL/Python.

Embedded in a core business area, own end-to-end analytics: define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions to improve product, growth, AI/automation, or partnerships.

Embed within a core business unit to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive decisions end-to-end to improve growth, product, AI, or partnerships.

Embed with a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive decisions and execution across growth, product, AI, or partnerships.

Embedded data scientist owning analytics end-to-end for a business unit: define problems and metrics, pull and analyze data, design experiments, build reports, surface insights, and drive recommendations that influence product, growth, and strategic decisions.

Design, build, and automate scalable infrastructure and CI/CD pipelines; ensure production reliability, observability, and performance; use IaC (Terraform), containers (Docker, Kubernetes), and cloud platforms; collaborate with engineering and product teams and communicate technical issues to stakeholders.

Senior Software Security Engineer responsible for threat modeling, security architecture reviews, code and penetration testing, integrating SAST/DAST/SCA into CI/CD, triaging vulnerabilities, driving secure SDLC/DevSecOps practices, incident response, and ensuring compliance with industry security standards.