Top Python Jobs in Toronto

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.

Lead iOS test automation for Okta Verify and SDKs across iOS, iPadOS, and watchOS. Define test strategy and frameworks (XCTest/XCUITest), build CI/CD pipelines, develop Swift/Obj-C test tools, create functional/regression/end-to-end tests, partner with security, and drive quality metrics and release validation.

The Senior Cloud Engineer will design and implement AKS clusters, automate maintenance tasks using Infrastructure-as-Code, collaborate with development teams, and ensure compliance with security standards.

Design and deliver end-to-end ML and GenAI solutions for actuarial and enterprise functions: translate business problems into production-ready models and agentic workflows, implement rigorous evaluation, monitoring, governance, and operationalization, and mentor junior team members.

Design, build, and maintain ETL pipelines and data infrastructure using Python, SQL, PySpark, and Microsoft Fabric. Collaborate with analytics and data science partners to translate requirements, optimize queries, resolve data issues, and support scalable data workflows and system architecture for omnichannel analytics.

Lead analytics for personal lending products by delivering AI/ML-driven insights, building high-performing analytics teams, partnering across business and tech, implementing advanced models and MLOps, and driving measurable business value through campaigns, pricing, and product optimization.

Lead product ownership for PricingCenter's pricing engines and rate execution. Define and deliver deployment, versioning, testing, validation, integrations, governance, and scalability capabilities. Work closely with engineering, UX, actuarial SMEs, services, and customers to prioritize, deliver, and measure outcomes for enterprise insurer customers.

Lead and develop a team of decision scientists to build, deploy, monitor, and govern credit risk models for underwriting, account management, and collections. Ensure production readiness, data preparation, feature engineering, model performance monitoring, and regulatory alignment. Partner with Technology and Product, apply ML/AI selectively, communicate insights to senior leadership, and drive model risk management.

Lead design, development, validation, and governance of retail credit loss forecasting models using statistical and machine learning methods. Oversee full model lifecycle, monitoring, automation, regulatory compliance (IFRS9/CECL, SR 11-7), stakeholder engagement, and mentor junior analysts to deliver robust forecasting and risk insights.

Design and deploy AI/ML decision science solutions for credit, collections, fraud, and risk monitoring. Build automated decisioning frameworks and agentic AI/LLM integrations, process structured and unstructured data, perform EDA, feature engineering, and create scalable data pipelines. Ensure model governance, validation, and audit readiness, evaluate model performance, and collaborate with stakeholders to integrate AI tools and enable analytics across Risk, Credit, Fraud, and Finance.

Design, build, and maintain scalable data pipelines and architectures supporting analytics, AI, and ML. Implement dbt models, orchestrate workflows with Airflow (MWAA), develop Snowflake-based data warehouses, write Snowflake SQL and Python/Shell pipelines, create Power BI reports, and support AWS-native production deployments while following global data engineering standards.

As a Senior AEM DevSecOps Engineer, manage and secure AEM infrastructure, integrate identity services, ensure compliance, and automate security within CI/CD pipelines.

The Engineering Manager leads and coaches full-stack engineering teams, provides technical direction, and ensures delivery of scalable solutions while fostering collaboration and growth among team members.

Support stakeholders by profiling, mapping, and validating financial reconciliation datasets. Build complex SQL queries and Python workflows, and use Snowflake and Databricks to design, transform, and manage large-scale finance data for reporting, reconciliation, and analytics. Ensure data quality, perform root-cause analysis, and support governance and documentation.

The AI Developer will integrate generative AI into R&D methodologies, develop tools for research tasks, and collaborate with scientists and engineers.

Lead and advise on the Generative AI platform strategy, integrating and automating platform delivery. Enable onboarding, implement CI/CD, develop production-grade GenAI microservices, enforce security and data governance, collaborate with AI and IT teams, define metrics, produce architecture and dashboards, and support platform reliability and adoption.

The Clinical Data Scientist designs and executes data assessment frameworks, evaluates RWD fitness, and supports evidence generation across Sanofi's enterprise, ensuring optimal data usage and collaboration across teams.

Lead a team delivering fundraising and marketing analytics to drive revenue, segmentation, forecasting, campaign measurement and data governance. Partner with business and IT, manage vendors, build scalable data models and self-service reporting, support program evaluation and roadmap, and develop talent to improve donor engagement and campaign performance.

Lead a platform engineering team to plan, select, migrate, and operate enterprise platforms (primary CMS/DXP, CRM, martech). Provide hands-on architecture, integration, vendor management, and delivery oversight. Drive platform strategy, technical due diligence, non-functional requirements, AI-enabled capabilities, and talent development while ensuring smooth transition to operations and governance for scalability, security, and reliability.

Serve as the primary technical pre-sales lead for large enterprise accounts, defining technical strategy, driving ML/AI and data-driven adoption, building technical champions, coordinating virtual teams, and supporting sales to deliver business outcomes using big data and cloud platforms.

Lead design verification for complex SoC/silicon products using UVM and C/C++-based environments. Develop UVM testplans, constrained-random stimuli, assertions and coverage, integrate C/C++ via DPI/PLI, automate infrastructure with scripting, use 3rd-party VIPs (PCIe, Ethernet, InfiniBand, DDR, NVMe, USB), and collaborate with RTL designers to debug in simulation, co-simulation, and emulation.

Senior Design Verification Engineer responsible for developing and executing UVM/SystemVerilog verification environments, integrating C/C++ via DPI/PLI, creating constrained-random tests, writing assertions and coverage, using third-party VIPs (PCIe, Ethernet, NVMe, DDR, etc.), automating infrastructure with scripting, and collaborating with RTL designers to debug SoC silicon for server, storage, and networking applications.

As a Full Stack Software Engineer, you will develop and maintain software for high traffic websites, emphasizing AI integration and quality coding practices within a cross-functional agile team.

The engineer will design, verify, and evaluate digital circuits in high-speed data communication ICs, including developing verification plans, test environments, and collaborating with multiple teams.

The Database Reliability Engineer manages the cloud database infrastructure, improves processes through automation, liaises with engineering teams, and enhances database performance and availability.