Top Python Jobs in Toronto

Lead design, migration, and optimization of enterprise CI/CD pipelines from IBM UrbanCode Deploy to Octopus Deploy across VM and mainframe environments. Refactor Groovy scripts into Octopus processes, develop C# deployment automation, validate production deployments, troubleshoot release issues, and drive CI/CD governance, security, and continuous improvement.

Provide day-to-day operational support for CyberArk and PAM services, manage incidents and service requests to SLAs, troubleshoot and resolve privileged access issues, collaborate with engineering and business stakeholders, maintain documentation and knowledge articles, and participate in service improvements and projects to strengthen the Privileged Access Services program.

Design, architect and implement large-scale risk and pricing microservices for counterparty credit risk. Build on-demand pricing, streaming and caching solutions, deliver P&L and risk projects, and create tooling to improve team efficiency while collaborating with trading, finance and global stakeholders.

Build and enhance backend pricing and risk services for front-office trading. Collaborate with sales, trading, and quant teams to design scalable, high-performance systems, integrate downstream consumers, and maintain testable, observable CI/CD pipelines while learning financial product workflows.

Owner of localization automation and integration: design and maintain automation frameworks (Python, APIs), integrate AI/LLM solutions, manage TMS (XTM, Smartling), perform i18n code audits, root-cause complex integration issues, and build self-service tooling for early localization detection.

Develop, program, commission and support control and SCADA systems for renewable projects. Implement PLC/RTAC/RTU/DCS logic and SCADA/HMI, build communications with industry protocols, perform FAT/SAT and site commissioning, produce I/O lists and control narratives, troubleshoot, train clients, and collaborate on system integration deliverables.

Architect, implement, and maintain scalable, object-oriented test automation frameworks for UI and server-side microservices. Write production-grade automation code, integrate AI utilities for self-healing and predictive analytics, embed tests in CI/CD pipelines using container orchestration, validate APIs and databases, and collaborate with cross-functional teams to enable shift-left testing and rapid defect resolution.

Lead design and oversight of counterparty credit risk analytics (PFE, MTM, settlement, stress). Ensure model governance, data integrity, regulatory and stress testing deliverables. Provide trading desk insights, automate analytics with Python/SQL, manage CCR team, and partner with model development, validation, and infrastructure to improve exposures and controls.

Design Verification Engineer responsible for verifying Tensix IP, building reusable SystemVerilog/Python testbenches and DV infrastructure, developing constrained-random and directed tests, closing coverage, debugging RTL/testbench/workload issues, and integrating CI/CD, simulation/emulation, and containerized regression systems. Collaborates with design, firmware, compiler, and architecture teams.

Lead and hands-on manage IT operations including network, systems, cloud, identity, DevOps, incident response, and security. Build and mentor a multidisciplinary team, drive automation, operational roadmaps, vendor management, and cross-functional alignment to ensure reliable, secure, and scalable infrastructure.

Provide L2 production support for data and client platforms in a 24x6 global follow-the-sun model: incident triage, escalation, SLA-driven communications, problem management, monitoring/automation (Grafana, ITRS Geneos), scripting-based automation (Shell/Python), SQL-based data investigations, change management, and mentoring SMEs while contributing to cloud migration and AI-assisted operations initiatives.

Lead global SaaS and cloud workplace operations, managing Microsoft 365 and Google Workspace, IAM (SSO, Entra, MFA), Zero Trust enforcement, automation (Power Automate, Zapier, PowerShell, Python), onboarding/offboarding, security/compliance collaboration, and mentoring IT teams to ensure secure, scalable, and efficient cloud environments.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

As an IT Systems Engineer, you'll manage user and device lifecycles, enhance endpoint security, and automate IT workflows, ensuring compliance and improving reliability in a remote tech environment.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

The Mojo Compiler Engineer will design and implement features for the Mojo language within an MLIR-based compiler, optimize performance for AI systems, and enhance the developer experience.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.