Top Python Jobs in Toronto

Analyzes market, retail, point-of-sale, and consumer data to identify growth opportunities for a global toy portfolio. Translates complex analytics into actionable recommendations for product, brand, sales, and marketing leaders. Partners with cross-functional teams, data engineers, and product managers to answer business questions, define internal data product requirements, and develop dashboards. Presents insights clearly to technical and non-technical stakeholders.

Leads WES Canada's policy, advocacy, and applied economic research agenda. Directs quantitative research on immigration, labour markets, credential recognition, and workforce integration; develops policy positions, consultation submissions, and strategic recommendations; manages staff, consultants, partnerships, and cross-functional initiatives; advises executives; prepares board and briefing materials; and represents WES with governments, institutions, employers, and sector stakeholders.

Operate corporate security tools and processes, including monitoring DLP alerts, reviewing EDR detections, triaging incidents, conducting investigations, and running phishing simulations. Maintain runbooks, support SOC 2 and ISO 27001 evidence collection, improve security tooling, and develop automation for remediation and unauthorized data-movement detection. The role collaborates across IT, application security, compliance, and people teams while supporting Clio’s security culture.

Leads the Customer Analytics practice, setting its strategy, standards, roadmap, governance, and talent direction. Delivers actionable customer and business insights across marketing, B2B, and the customer journey. Owns the Customer 360 roadmap, partners with analytics, data science, engineering, and business teams, and drives automation, scalable solutions, reporting, retention, personalization, revenue, and customer experience improvements.

Own end-to-end client deployments of an agentic AI healthcare automation platform. Build full-stack backend services, integrations, workflow automations, and production infrastructure using Python, TypeScript, and AWS. Lead technical demos, prototypes, workflow mapping, issue resolution, and client stakeholder relationships. Extend orchestration tools and integration libraries while translating deployment insights into platform improvements. Support healthcare integrations including HL7, FHIR, DICOM, RIS/PACS, EMR webhooks, and scheduling systems.

Supports customer analytics, predictive modeling, Next Best Action strategies, campaign measurement, customer journey analysis, dashboards, and performance tracking. The role prepares and analyzes data, automates reporting processes, partners with Marketing, Product, and Analytics teams, and communicates insights to technical and non-technical stakeholders.

Supports credit risk and account management scorecard development, monitoring, validation, and optimization. Analyzes customer, portfolio, and performance data; creates dashboards, reports, KPIs, and recommendations; performs statistical performance monitoring and assists with model validation and challenger testing. The role also contributes to reporting automation and decision-support tools while collaborating with Credit Risk, Fraud, AML, Product, Marketing, Operations, and Model Risk teams.

Own and evolve Wave’s observability platform across backend services, APIs, databases, Kubernetes, cloud, and on-premises systems. Define SLOs, improve alert quality, build internal tooling, support instrumentation, identify reliability and performance issues, and help engineers investigate incidents. The role includes operating observability tools, establishing standards, configuring OpenTelemetry at scale, and controlling platform costs while partnering with infrastructure, database, security, and product engineering teams.

Serve as a trusted technical advisor for enterprise customers using Auth0 and Okta. Design B2B and B2C identity architectures, build proofs of concept, test REST APIs with Postman, troubleshoot integrations, and demonstrate authentication solutions. Provide technical workshops, documentation, code samples, and enablement for developers and architects while advocating for customer needs with product and engineering teams. Some travel is required, including onboarding at the San Francisco or Chicago office.

Build and maintain internal applications that support annotators, ML researchers, product managers, and other stakeholders. Develop user-facing browser and server experiences using full-stack technologies, design resilient mission-critical systems, improve engineering velocity, and collaborate through pairing, architecture, documentation, and technical talks. The role requires comfort across frontend and backend development, complex SQL, stakeholder collaboration, and adoption of new technologies.

Build and deploy production-grade AI solutions across AWS and Azure. Responsibilities include developing LLM, agent, and RAG applications; creating APIs, data pipelines, integrations, and CI/CD workflows; configuring cloud infrastructure and security; implementing monitoring and observability; testing model performance; and documenting deployment and operational procedures. The role collaborates with cybersecurity, cloud, data, application, and project teams to deliver reliable enterprise AI capabilities.

Build and maintain cloud-based ELT/ETL pipelines using dbt, Airflow, and Cloud Composer. Implement data transformations, ingestion workflows, quality tests, monitoring, and troubleshooting. Maintain schemas and lakehouse structures across Snowflake, BigQuery, and Databricks. Document pipelines and collaborate with analytics and data science teams to deliver optimized, reliable data structures.

Lead the architecture, development, and operation of secure, scalable payment systems. Responsibilities include payment pages, processor and gateway integrations, transaction authorization, capture, refunds, settlement, reconciliation, fraud prevention, observability, incident management, PCI DSS compliance, and API development. The role provides technical direction and mentorship to software engineers while collaborating with Product, Security, Infrastructure, Architecture, and external payment partners.

Design and build autonomous agents for pharmaceutical workflows, including orchestration, communication systems, integrations with pharmacy systems, evaluation infrastructure, observability, and real-time processing across pharmacy networks. The role involves backend-focused software engineering, cloud infrastructure, distributed systems, healthcare data standards, architectural decisions, end-to-end ownership, and occasional customer interaction.

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.

Build and maintain security automation, vulnerability management tooling, detection rules, CI/CD integrations, and supply chain security controls. Support application, cloud, identity, access, DLP, secrets, and data warehouse security programs. Partner with engineering teams on secure architecture and remediation, manage security policies, conduct access reviews, and contribute to security standards and mentorship.

Own the definition and launch of a greenfield iOS and Android consumer app. Develop product strategy, write specifications, coordinate engineering delivery, define success metrics, and use data, A/B testing, and user feedback to guide decisions. The role combines strong UI/UX judgment with computer vision and AI capabilities to create a polished consumer experience.

Lead StackAdapt’s internal AI platform team, overseeing platform-scale onboarding of APIs, UIs, and knowledge systems. Own the LLM evaluation pipeline, partner with product and feature teams, establish AI UX patterns, architect scalable APIs and backend systems, and ensure production performance. Hire and mentor full-stack engineers, promote engineering best practices, conduct code reviews and interviews, prioritize roadmaps, and contribute code to high-impact technical initiatives.

Provide technical customer support for HappyRobot’s AI platform by triaging, debugging, and resolving customer issues. Diagnose root causes, design and test solutions, collaborate with engineering and product teams, and help customers optimize AI workers through prompt engineering and voice or transcription tuning. The role requires clear communication, independent prioritization, adaptability, and strong problem-solving skills.

Build, deploy, operate, and improve backend services and cloud infrastructure supporting Mozilla products. Responsibilities include backend development, API and data contract design, production monitoring, incident response, on-call support, releases, security and privacy reviews, code reviews, and mentoring. The role requires end-to-end service ownership, collaboration with frontend and cloud teams, and maintaining reliable production systems using modern observability and DevOps practices.

Design, build, and operate production ML models, services, and platforms for pricing, risk, and decision systems. Own end-to-end model pipelines, deployment, monitoring, and iteration. Collaborate with researchers and product to productionize prototypes, tackle data drift and sparsity, lead design reviews, and mentor teammates.

Support deployment, training, and support of internal SoC design and verification flows. Work with project engineers and methodology developers to ensure front-end and back-end flows function correctly, ramp teams, liaise with EDA vendors to resolve tooling issues, and identify efficiency improvements across engineering projects.

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

The role involves building AI-powered analytics tools, proactive intelligence systems, and automating decision processes based on data-driven insights to drive business impact at Opendoor.

Senior technical leader who shapes Canada Tech strategy, drives architecture and engineering standards, mentors senior engineers, leads transformational change, and guides platform and product technical decisions to support international Card customer capabilities.