Top Python Jobs in Toronto

Design and perform statistical and predictive modeling (logistic regression, neural nets, trees, random forest) using SAS, SQL and Python to detect and prevent fraud. Maintain fraud rules and monitoring systems, run feasibility/cost-benefit analyses, implement improvements, and collaborate with stakeholders to deploy fraud solutions across the bank.

Support process and operations automation by gathering requirements, analyzing workflows, recommending automation solutions, aiding implementation and testing, providing post-launch support, and scaling automation across the business to improve efficiency, controls, and performance.

Clio seeks Customer Support Specialists for early talent and new graduates to deliver exceptional customer experiences, resolve product issues, and promote product adoption within the legal tech industry.

Build and operate Threat Intelligence Services platform: administer AWS infrastructure, design APIs and integrations, develop React/Node.js front-ends and Python (FastAPI) services, manage headless CMS and databases (PostgreSQL/Elasticsearch), automate analyst workflows, ensure reliability, security, observability, and partner with analysts to deliver intelligence products.

The Software Engineer III will develop and support applications for customer data management and regulatory compliance, ensuring scalability and performance in cloud environments.

Administer enterprise Databricks environments (workspaces, clusters, Unity Catalog, access controls), monitor performance/costs, enforce governance, and support migrations. Design, develop, test, and maintain scalable Python and PySpark data applications, APIs, CI/CD pipelines, and automation. Troubleshoot platform issues, optimize cluster configurations, perform code reviews, mentor junior developers, and collaborate with cloud and security teams.

Lead and drive performance testing and engineering for large-scale, production-like infrastructure. Design frameworks, automate tests, diagnose bottlenecks, mentor engineers, and collaborate on architecture and CI/CD to ensure scalable, reliable web applications.

Design, build, deploy, and support enterprise-grade .NET full-stack applications and scalable Azure data solutions. Work spans C# ASP.NET Core APIs, modern front-ends (React/TypeScript), and data engineering on Azure Databricks, ADLS, ADF, Airflow and Azure SQL to process multi-million record workloads.

Design, build, and operate Sentry's Streaming Platform, including Kafka, streaming runtime, high-level APIs, and developer abstractions. Implement resilient, high-throughput stream processing with strong correctness guarantees (delivery, checkpointing, watermarking). Automate Kafka fleet management, improve observability and failover, and partner with product engineers to enable reliable, scalable ingestion pipelines.

Analyze large datasets to produce dashboards, metrics, and insights supporting product, care, and business decisions. Build BI infrastructure, run A/B and multivariate tests, perform ad-hoc analyses and visualizations, and collaborate with stakeholders and data scientists to inform strategy and operations.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

The Back-end Engineer will develop and maintain services and APIs, design data models, and contribute to system stability, collaborating with other engineers and product managers.

Develop and maintain scalable full-stack Java applications (Spring Boot, microservices, REST APIs) with modern front-ends (Angular/React). Design and optimize MongoDB data solutions, support the SDLC and cloud-native integrations, recommend security measures, mentor junior developers, and evaluate Python and Generative AI for automation and innovation. Collaborate with stakeholders to define requirements and deliver production-ready solutions.

Design, develop, test, and maintain scalable full-stack Java applications using Spring Boot, microservices, and modern front-end frameworks. Build and optimize MongoDB data solutions, contribute to APIs and cloud-native integrations, support SDLC and CI/CD, mentor junior developers, and evaluate Python and Generative AI opportunities for automation and innovation.

Design, build, test, and support data and AI products by developing ETL/ELT pipelines, data models, and automation. Partner with stakeholders to translate requirements, perform data profiling and regression testing, troubleshoot production issues, and contribute to technical designs and process improvements to accelerate delivery.

Design, build, test, and support data and AI products. Translate business requirements into data solutions, contribute to technical design, develop reusable frameworks and automation, perform ETL/ELT development and testing, conduct regression testing and root-cause analysis, and drive process improvements for delivery and deployment.

The Software Engineer for Data Infrastructure & Acquisition will manage data collection for model training, optimize ingestion pipelines on GCP, and collaborate with the AI team to enhance data quality and scalability.

Build and maintain cloud-native AI platform services, implement IaC automation, develop developer tools and APIs, support deployment, monitoring, scaling of ML models, collaborate with engineers and data scientists, contribute to CI/CD and DevOps practices while applying security, observability, and governance best practices.

Design GDS mask layouts and PDK components for multiplexed SNSPD arrays, integrate layout with simulations, perform physical verification (DRC/LVS), collaborate with fabrication partners, and optimize device performance through layout and test-structure design.

The IT Data Specialist provides technical leadership in data analysis including data modeling, ETL, reporting design, and ensures data quality management, collaborating with business and technology partners.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

Design, build, and deploy AI and automation solutions (LLMs, Copilot, Power Platform) that integrate with enterprise systems. Rapidly develop MVPs, implement prompt engineering and RAG strategies, create APIs and workflows, perform testing and UAT, support deployments, and maintain architectural and security documentation while collaborating with stakeholders and security teams.

Lead the delivery of Generative AI products by managing the product lifecycle, facilitating Agile execution, and ensuring alignment with user needs.

Seeking 2-3 RPA Developers for a banking client to design, develop, test, and support automation solutions using UiPath and coding languages.

Entry-level software engineering role for 2027 graduates in an Engineering Development Program. Participate in rotations and training, solve coding challenges, work on backend, frontend, and mobile stacks, and collaborate in-office four days/week during the first two years.