Top Python Jobs in Toronto

The role involves complex analyses in heat transfer and thermodynamics, preparing test plans, documenting results, and updating engineering practices for aircraft design and icing issues.

The Product Engineer will work with chemical manufacturing customers to implement AI solutions, focusing on process improvement and technical problem-solving using the Basetwo platform.

Build and maintain end-to-end product features across the stack (AWS, Python, Postgres, React, HTML/CSS). Collaborate with product and design, participate in design meetings, automate processes, advocate best practices, and deliver modular, reliable, and extensible solutions.

As a Software Engineer for Native Apps, you will drive initiatives across product areas, collaborate with teams, and build scalable features. Deep backend experience is required.

This role leads application system design and implementation, drives collaboration across teams, manages projects, and mentors developers while ensuring risk compliance.

Lead applications systems analysis and programming across the full SDLC. Design and implement application solutions, integrate business functions, resolve complex problems, coach mid-level developers, manage projects, and ensure architecture compliance and regulatory/risk controls.

Lead design and hands-on delivery of low-latency, high-throughput trading platform components. Drive engineering excellence with TDD, CI/CD, observability, secure coding, AI-assisted tooling, and platform modernization while mentoring teams and partnering with product, risk, and operations to meet SLAs and regulatory requirements.

Design, develop, and deploy generative AI solutions (LLMs, RAG, vector DBs, agentic AI) for financial applications. Build AI agents, implement RAG pipelines, fine-tune and evaluate models, collaborate with engineering to productionize models (CI/CD, containers, cloud), and communicate results to stakeholders.

The DevOps Engineer will design, build, and optimize cloud infrastructure for machine learning operations, manage CI/CD pipelines, and ensure reliability across systems.

As a Quantitative Researcher, you will conduct quantitative modeling and analysis for evergreen private equity portfolios, support liquidity management, and collaborate on client engagements using large datasets.

As a Data Engineer, you'll develop and manage data ingestion pipelines, model data for analytics, and ensure data quality across advertising platforms.

Android engineers will build and enhance applications and frameworks for physical Terminal devices, collaborating with teams to implement new features.

Design and maintain data pipeline architecture, manage AWS services, optimize data systems, and ensure efficient ETL operations across various data sources.

The Senior Full Stack Engineer will drive product evolution through full-stack development, focusing on backend APIs with Python and frontend applications using React and TypeScript, while managing the software development lifecycle.

As a Staff Software Engineer, you'll build scalable systems for the Tokenization Engine and mentor juniors, collaborating with cross-functional teams to enhance system performance and stability.

Perform post-silicon power characterization and correlation for AI SoCs: develop and run power measurement strategies in the lab, analyze results vs pre-silicon models, support debug with architecture and validation teams, extend automation and scripts, and produce end-to-end power correlation reports and recommendations.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

As a Verification Engineer, you will lead the verification of Serdes by developing AMS SystemVerilog models, collaborating with the design team, and ensuring model quality.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.

The Applied Machine Learning Research Scientist will translate ML techniques into scalable systems, improve LLM performance, and optimize workflows while collaborating closely with researchers and engineers.

As a Senior Data Scientist, you will design AI solutions, lead NLP implementation, and mentor junior staff while transforming data into actionable insights.

As a Senior Product Engineer, you will manage the full lifecycle of software features, engage with customers, and build scalable solutions using AI-assisted tools in a collaborative environment.

Analyze complex datasets, build interactive dashboards, run predictive and statistical analyses, enforce data governance, automate reporting, and partner cross-functionally to deliver actionable insights.

The cybersecurity engineer will oversee operations bridging strategy and tech, handle incidents, automate patching, and develop policies.