Top Python Jobs in Toronto

This role involves driving innovation in scientific technology by developing and validating software methodologies, analyzing mass spectrometry data, and implementing product improvements.

The Senior Site Reliability Engineer will automate infrastructure tasks, optimize cost efficiency, and provide support during incidents, ensuring scalable and reliable systems on Google Cloud.

Lead the Modeling Platform team, setting technical strategy and overseeing the evolution of a scalable distributed computation architecture while mentoring engineers and enhancing team capabilities.

The GTM Engineer role focuses on streamlining go-to-market strategies through AI-powered systems and data pipeline automation, enhancing collaboration across RevOps, Sales, and Marketing.

The Senior Physical Design Engineer is responsible for implementing complex digital blocks, ensuring timing closure, power integrity, and physical verification for high-performance ASICs, while collaborating with teams to solve complex technical challenges.

As a Data Architect, you will design scalable data solutions, collaborate with teams to implement AI solutions, and communicate findings to stakeholders.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

The DevOps Engineer will automate product and server deployments in cloud environments, improve system optimization, and lead cloud migration initiatives.

Drive the development of Computational Design and Automation technologies, collaborating with teams to define product vision and improve software solutions.

Lead a global team in application engineering, ensuring operational excellence and integration solutions for Brookfield Wealth Solutions and Brookfield Credit. Oversee design, implementation, optimization, and team development in relation to technology solutions and application integrations.

Lead a multidisciplinary team to design and deliver agentic AI systems for drug discovery and clinical research, set technical roadmaps, ensure regulatory compliance and AI safety, mentor staff, and represent Sanofi in research collaborations.

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.

The Lead Embedded Developer will write and test firmware code for telematics devices, ensuring integration and collaboration with hardware teams, while participating in Agile development.

The Associate Research Scientist will drive innovation in scientific technology, develop algorithms for data analysis, and support research initiatives involving mass spectrometry and machine learning.

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

The Senior Director will lead the data science and AI capabilities at Aviso, managing teams to deliver measurable solutions from concept to production. Responsibilities include overseeing experiments, integrating AI into products, and ensuring compliance in a regulated environment.

The role involves leading projects, ensuring quality code, collaborating with teams, and innovating mapping solutions for Lyft's passenger and driver experiences.

The role involves improving the billing and packaging system, working with Go services, GraphQL, and Google Cloud, while collaborating with various teams.

Lead Lime's ML Center of Excellence, set ML infrastructure and standards, guide model lifecycle, deploy and monitor production ML, build reusable features, mentor teams, and partner with engineering to scale reliable ML systems.

Lead the technical direction for AI and computer vision, develop and deploy models, improve ML infrastructure, and collaborate with stakeholders.

Lead and mentor a high-caliber engineering team, focus on custody and staking infrastructure while ensuring reliability, security, and performance in blockchain systems.

Lead a team of engineers in developing AI-powered applications, oversee technical decisions, and foster innovation while ensuring security and scalability.

The role involves leading e-commerce strategies, conducting analysis and A/B testing, collaborating across teams to optimize performance, and translating insights into actionable plans for clients.

Owner of end-to-end app experience and onboarding flows for a SaaS security platform. Build and maintain Python/Django backend services and APIs, design RBAC using Google Zanzibar, collaborate with Product/Design/CS, improve UX for personas, and measure success through adoption and time-to-value.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.