Top Python Jobs in Toronto

Design, develop, test and maintain GenAI/ML components and applications. Implement new features, perform unit tests, fix defects, participate in code reviews, incident response, and collaborate with stakeholders to ensure scalable, secure engineering solutions and continuous improvement.

Support pricing and risk management for Group Benefits by monitoring pricing drivers, presenting recommendations, implementing changes with business partners, responding stakeholder queries, leading small projects, and supervising/mentoring actuarial assistants as needed.

Lead independent experimental projects on 3D genome organization in cancer using Hi-C/HiChIP and complementary epigenomic assays. Prepare NGS libraries, work with organoid models, integrate bulk, single-cell and spatial multi-omics, collaborate with computational scientists, mentor trainees, and contribute to manuscripts and grants.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

Design and develop scalable Medallion Data Lakehouse architectures and automated ETL/ELT pipelines on Azure using Databricks, Delta Lake, ADF, and dbt; integrate structured and unstructured data into dimensional schemas; optimize SQL and storage formats; implement CI/CD, data governance, Unity Catalog, and Power BI integration; embed ML insights.

Lead design and delivery of enterprise analytics and AI solutions on cloud (primarily GCP). Build data models, pipelines, visualizations, and ML models; provide stakeholder leadership, secure data access guidance, automation and process improvements, and upskill teams to enable scalable, self-service analytics.

Design, build, and deploy software components for a distributed system. Maintain uptime, collaborate on product development, and ensure quality engineering processes.

Design, build, and ship front-end web apps and back-end services; write tests and monitor platform performance; collaborate with product and support; follow SDLC and security best practices; perform code reviews and documentation.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

The analyst will provide risk insights, develop risk analytics programs, support investment risk reporting, and build relationships with investment teams.

The Actuary will lead assumption development and experience analysis, provide technical direction on AXIS modelling, and support innovation initiatives in a hybrid role.

The AI Developer will build and maintain data pipelines, design RAG systems, develop AI workflows, and ensure production reliability in healthcare settings.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

The role involves building LLM-powered AI agents for cloud services, translating academic concepts into production-ready code, and conducting applied research on AI-driven systems, focusing on performance and stability.

Assist in 3D modeling of mechanical components and developing code for robots, integrating sensors, and preparing technical reports for manufacturing.

Assist in designing robotic systems with embodied AI capabilities. Implement perception pipelines, develop interaction loops, and collaborate on prototypes using various tools.

This role involves building and scaling compliance programs, translating security and regulatory requirements into scalable solutions, and collaborating across teams, specifically in AI governance and technical compliance automation.

The Software Engineer will analyze, design, program, and modify software for financial services. Responsibilities include developing web applications, REST APIs, and microservices, using BDD/TDD methodologies, and ensuring product scalability and security.

As a Debug Architect, you will define scalable debug capabilities, validate performance, and collaborate across teams in hardware and software.

As a Technical Product Owner, you'll translate business problems into data science use cases, prioritize features, guide Agile teams, and manage machine learning products.

The Sr. Analyst is responsible for quality assurance in calculations, supporting actuarial processes, conducting reviews for accuracy, and recommending improvements in methodologies and standards.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

The Senior Frontend Engineer will lead development of UI features using React and TypeScript, collaborate on API designs, and optimize performance in a data-intensive financial platform environment.

Seeking a Senior Data Engineer to develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory, ensuring data security and compliance while optimizing data solutions and collaborating cross-functionally.

Lead the design of enterprise-grade cloud infrastructure for a large-scale data platform on AWS. Oversee architectural standards, compliance, and high-volume data systems. Provide strategic and hands-on leadership to ensure resilient and scalable systems that support data ingestion and analytics workloads.