Top Python Jobs in Toronto

The Lead Mechanical Analysis Engineer conducts structural and stress analyses for nuclear reactor components, ensuring compliance with ASME BPVC standards, and leads projects while mentoring junior staff.

The Senior Mechanical Analysis Engineer will lead structural and dynamic analyses for the BWRX-300 reactor, ensuring compliance with regulations, conducting FEA, and mentoring junior engineers while driving continuous improvement initiatives.

Lead a team of engineers to develop and deliver FPGA design tools, ensuring quality and alignment with product roadmaps, while managing project execution.

As an Analyst in Trade Control, you'll support equity markets trading activities by ensuring accurate booking of transactions, reconciling trades, and maintaining compliance and record-keeping standards. You'll collaborate with various teams, manage client communications, and utilize your financial knowledge to identify and solve trade discrepancies.

The Performance Engineer - Inference will optimize model inference speed and throughput, debug low-level kernel performance, and develop tools to visualize performance data.

Lead post-silicon bring-up and optimization of wafer-scale engines: develop debug flows, HW-SW codesign optimizations, build large-scale test infrastructure, create self-checking metrics and instrumentation, and collaborate across silicon, performance, and software teams to improve production performance and release processes.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly detection, visualization and analysis tools, and frameworks for failure classification and regression detection. Extend compilers, runtimes, and instrumentation for advanced profiling. Improve bring-up and low-level debug workflows, partner cross-functionally across hardware, firmware, compiler and runtime teams, lead high-impact initiatives, and support incident response and long-term corrective actions.

Lead post-silicon bring-up and performance optimizations for Cerebras Wafer Scale Engines. Develop/debug production-ready flows, instrumentation, and self-checking metrics. Build infrastructure for large-scale silicon workload testing, collaborate with silicon architects, performance and software teams, and streamline CI/CD and release workflows.

The Senior DevOps Engineer will work on product development, ensuring smooth operations of systems, and improving CI/CD workflows while addressing security vulnerabilities and system health monitoring.

The Principal AI Architect will define AI strategy and enterprise architecture, designing scalable AI solutions and leading architectural decisions across the organization.

Design, implement, and own scalable end-to-end data pipelines and infrastructure for cloud cost, usage, and emissions data. Partner with cross-functional teams to produce analytics-ready datasets, ensure data quality and observability, set technical standards, and mentor engineers to drive cost and carbon intelligence for strategic reporting and optimization.

Lead engineering efforts, manage technical teams, ensure software quality, drive automation, and guide product strategies in machine learning security.

The Software Engineer will design and develop cloud services and web applications, enhance platform functionality, streamline deployments, and support production infrastructure within an Agile environment.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Design and maintain dbt-based ELT pipelines and dimensional models, build Python extractors, optimize BI semantic layer (Looker/Metabase), implement CI/CD, automated tests, and data quality monitoring for logistics data.

The Tableau Developer designs and optimizes dashboards, integrates data, prepares ETL processes, troubleshoots, and collaborates with teams to enhance analytics solutions.

The Senior Data Scientist will develop and deploy machine learning solutions, collaborate with teams, integrate AI capabilities, and ensure ethical AI practices while mentoring junior scientists.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Lead design, implementation, and optimization of large-scale ML models and recommender systems for ad-tech and mobile gaming. Oversee end-to-end data science projects, deploy production DNNs, build A/B testing frameworks, mentor junior staff, and collaborate with Product, Marketing, and Engineering to drive user personalization and monetization.

As a Principal Software Developer, you will lead teams to develop high-quality cloud services, design functionalities, conduct code reviews, and enhance product performance while collaborating with cross-functional teams.

The IT Engineer will manage internal systems and automate workflows to enhance employee technology experiences and operational reliability.

The DevSecOps Engineer will lead security initiatives by implementing security controls, automating workflows, mentoring juniors, and collaborating with teams on security best practices.

As Director of AI Innovation Hub, you will lead AI integration efforts, influence business transformation, and manage a team to deliver measurable impact through innovative AI solutions.

The Senior Analyst of CS Strategy and Analytics role involves analyzing revenue performance and supporting strategic initiatives, focusing on analytics within Customer Success and operational strategy.