Top Python Jobs in Toronto

Lead detection and incident response across corporate security systems. Own investigations end-to-end, tune and automate detection (DLP, EDR, SIEM, phishing), produce runbooks and remediations, coach junior analysts, and partner cross-functionally to improve controls, compliance evidence, and AI-related security tooling.

Design and implement production-grade Generative AI solutions focused on RAG using Azure OpenAI and Azure AI Search. Build backend APIs, serverless Azure deployments, scalable data pipelines for indexing/embedding/retrieval, CI/CD, and IaC. Ensure security, governance, and collaborate with cross-functional teams to deliver end-to-end GenAI systems.

Lead and grow the data engineering function, driving Snowflake migration and EDW modernization. Deliver scalable, secure batch and real-time data platforms, embed MLOps/DataOps, CI/CD, and IaC, enforce PCI DSS and data quality, manage onshore/offshore teams, and partner with architecture, governance, security, and product stakeholders to meet enterprise data needs.

Lead and mentor multiple Agile software teams, own technical design and architecture, drive end-to-end delivery, champion AI-first innovation, ensure high-quality releases, partner with product, improve team performance and operational excellence, and communicate with customers and stakeholders.

Senior Developer/SRE will lead technical components, design and write object-oriented code, manage CI/CD (LightSpeed) pipelines, troubleshoot production issues, collaborate on shared codebases, apply networking/REST API/database/CLI knowledge, ensure software quality through reviews and testing, and mentor junior engineers.

Design and maintain ETL/ELT pipelines and semantic/analytical data models; extend metric layers for BI and LLM/RAG-driven natural-language analytics; apply AI/ML and data-science techniques to produce trusted investment metrics, insights, and recommendations; embed data quality, lineage, and governance; collaborate with investment, finance, and technology stakeholders to prototype and productionize AI-enabled reporting solutions.

Lead design and implementation of AI-driven data analytics platforms and pipelines for Lyft's Marketplace. Define architecture and roadmap, build backend microservices and APIs, drive AI innovation (agentic workflows, model evaluation, causal models, anomaly detection), collaborate with product and data teams, resolve incidents, and mentor engineers to improve business operations and metrics governance.

Lead software testing for large-scale rail signalling projects: analyze requirements, develop and execute test plans, perform integration, stress and operational tests, develop test automation, report defects, investigate failures, mentor junior testers, coordinate on-site and lab testing, and ensure safety and process compliance.

Founding research hire to develop clinical reasoning and computer-use models using proprietary hospital and clinic data. Own end-to-end training and evaluation pipelines, design benchmarks exposing LLM weaknesses on clinical reasoning, run experiments, and publish technical reports and papers. Collaborate closely with founders and deploy research into products that improve physician workflows.

Lead portfolio analytics and monitoring for small and medium business lending using SQL, SAS, and Python. Produce recurring and ad hoc reports, deliver data-driven recommendations to influence credit policy and strategy, and present findings to stakeholders. Manage analytics projects end-to-end while improving reporting processes and supporting risk governance.

Design, build, and ship end-to-end AI and data solutions using proprietary data infrastructure. Scope projects with business stakeholders, implement models, pipelines, and APIs (Python/SQL), deploy on Snowflake or BigQuery, and iterate post-launch. Enable non-technical teams, collaborate with Data Engineering and AI teams, and operationalize LLMs, embeddings, and predictive models into working internal products.

Design and build AI-powered internal accounting tools and integrations. Own architecture, security, and code quality; translate accounting processes into production-grade backend systems; collaborate with product and accounting staff; document systems and scale tools responsibly.

Mid–Senior Technical Artist responsible for bridging art and engineering: optimize pipelines, author shaders and Niagara effects, build performant terrain and procedural workflows in UE5, balance cutting-edge rendering (Lumen, Nanite) with cross-platform optimization, and act as technical liaison between art, design, and engineering.

The role involves designing and delivering integrations across the GTM stack, developing internal tools, and leading technical architecture in a collaborative setting.

Design, build, and operate production multi-agent AI systems and automation for Marketing Operations. Integrate LLMs with business systems (BigQuery, CRMs, Slack), implement RAG pipelines, observability, governance, and scalable serverless/containerized services. Partner with GTM teams to deliver measurable automation and self-service tooling.

Design, build, and enhance Cority's software platform across product streams. Own features end-to-end, debug cross-system issues, drive observability, contribute technical direction, perform code reviews, mentor junior engineers, and collaborate with Product Owners to translate requirements into scalable technical designs.

Lead Intelex's AWS-first cloud architecture vision, designing secure, highly available, and cost-efficient infrastructure. Enable AI and data platforms, define IaC standards (Terraform), CI/CD (GitHub Actions, Octopus), observability, and security/governance. Partner with Engineering, InfoSec, and Data teams to drive migrations, reliability, and compliance for SaaS and AI workloads.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.