Top Python Jobs in Toronto

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

Build, deploy, and maintain machine learning models on large-scale datasets. Extract, clean, and analyze numerical and textual data. Develop model pipelines, run experiments, optimize business strategies, and evaluate new data sources and technologies.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

Design, build, and tune cloud-native detection and response capabilities in Microsoft Azure. Develop Sentinel analytics, KQL queries, SOAR/Logic Apps playbooks, integrate security tooling across Azure and M365, translate threat intelligence into detections, and collaborate with an MDR partner and internal teams to improve SOC processes and automated response workflows.

Build and own the analytics foundation: maintain dbt models and Snowflake, create ELT pipelines (Python/Airflow), design semantic layers, ensure data quality and reconciliation, enable self-serve analytics and measurement for cross-functional teams, and support AI-ready data infrastructure.

Lead technical strategy and roadmap for Affirm's Online Storage platform. Design and build scalable, multi-region datastore solutions, automation control planes, and operational tooling for hundreds of databases. Drive cross-team collaboration, reliability, monitoring, and mentor engineers while delivering high-impact backend and database features.

Design and own Forward's security technology architecture across AppSec, SecOps, and GRC. Integrate and automate security tooling into cloud, CI/CD, identity, and SaaS ecosystems. Build detection and logging foundations, lead evaluations and rollouts, mentor security engineers, support incident response, and align architecture to compliance frameworks (SOC 2, ISO 27001, NIST).

Lead technical escalations for ELD compliance products, analyze device telemetry and fleet patterns, coordinate fixes with R&D, support audits/inspections, drive post-mortems and tooling, and coach support engineers to ensure accurate HOS/RODS recording and global support readiness.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Lead design and delivery of enterprise-scale AI/ML solutions for Ethoca, building and governing models (NLP, generative, multi-modal) to reduce chargebacks, improve dispute resolution, and scale production systems across cloud environments.

Lead development, deployment, and monitoring of end-to-end ML/DL/AI solutions. Responsibilities include data extraction, cleaning, modeling, evaluation, production deployment, documentation, and presenting results. Collaborate across teams, build prototypes and POCs, protect IP, and disseminate knowledge externally.

The Senior Security Engineer I will build and maintain core security infrastructure, collaborate with global teams, mentor junior engineers, and drive security initiatives.

Lead architecture, build, and scale a Databricks lakehouse: design batch/streaming pipelines, enforce governance with Unity Catalog, optimize Spark workloads, operationalize ML (MLflow), manage cloud/IaC, mentor engineers, and partner with stakeholders on roadmap and security/compliance.

As a Senior Software Engineer, you will lead backend development, design scalable services, and mentor team members while focusing on AI-driven product enhancements.

Independently validate and monitor machine learning models used for credit underwriting, credit risk, and fraud detection. Identify weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Partner cross-functionally to implement and maintain the Model Risk Management framework and support audit, compliance, and regulatory requests.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

Lead GitLab's threat intelligence as a senior engineer: operate and extend the Threat Intelligence Platform, monitor relevant threats and feeds, perform OSINT and malware analysis to support incident response, automate workflows with code and AI, run purple team exercises, and share intelligence with industry peers to improve defenses.

Design and integrate PCIe, CXL, UCIe and other I/O subsystems into SoCs. Write micro-architecture specs, develop RTL in Verilog, run static checks, debug builds, collaborate with verification, performance, and backend teams, and mentor others to deliver complex SoC projects.

Design and integrate PCIe, CXL and other subsystems for SoCs: write micro-architecture specs, develop RTL in Verilog, debug, run static checks, collaborate with verification, performance analysis and backend teams, and mentor team members.

Graduate research internship to own end-to-end research on Customer World Models and proactive intelligence: design representations, develop methods (foundation models, RL, causal reasoning, agentic systems), run experiments, publish, and help ship ML systems that anticipate and act on customer needs.

Lead a small team and contribute hands-on to design, develop, deploy, and iterate AML and crypto risk detection machine learning models. Own technical roadmap, collaborate with Product and Engineering, ensure model quality, explainability, documentation, and governance, and drive production performance and outcomes across the model lifecycle.

Own and optimize Okta identity infrastructure and Google Workspace, build Workato automations (OWL-IT), support IAM initiatives (RBAC, provisioning, SCIM), act as Tier 3 escalation for identity incidents, ensure StateRAMP/FedRAMP compliance, document runbooks, and collaborate with Security/GRC to strengthen identity security.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Partner with Sales Strategy, Solution Architects, and Ecosystem teams to translate pre-sales questions into analytics and AI solutions. Build BI and AI tools, maintain analytics foundations (Snowflake/dbt/Tableau), run cohort/segmentation and experimentation, and surface insights to improve trials, adoption, conversion, and partner-influenced wins.