Top Python Jobs in Toronto

As a Senior Software Engineer, you'll design and maintain scalable systems for containerized deployments, improve developer experience through CI/CD pipelines, and ensure observability and reliability in multi-cloud environments.

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

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

Lead the modernization of Workforce Management systems by providing technical leadership, designing solutions, and collaborating with cross-functional teams while adhering to SAFe practices.

Lead the backend engineering team, mentor developers, design scalable Django REST applications, and oversee system performance and architecture enhancements.

As a Customer Support Engineer, you'll troubleshoot Kubernetes and vCluster issues, provide technical support, collaborate with engineering, and document solutions to improve the support process.

Design and develop embedded firmware and SDKs for connectivity SoCs, collaborating with teams and ensuring firmware quality through testing and debugging.

The Senior DevOps Engineer will build, deploy, and maintain loan processing infrastructure on GCP, automate processes, and ensure system performance.

The role involves operating and scaling Kong's SaaS platform, building automated infrastructure, optimizing multi-region data layers, enhancing observability, and ensuring reliability across services.

Join BioConnect as a Software Developer to design and develop security software components using .NET and C#. Collaborate with teams to ensure timely product releases.

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

Lead a team of Support Engineers while actively participating in resolving complex technical issues, mentoring staff, and maintaining quality service standards.

As Director of Data & Insights, you'll lead efforts to define and implement the data and AI strategy, managing a multidisciplinary team to enhance data capabilities and ensure secure data flow within the company and with clients.

As a Senior Fullstack Engineer, you'll develop and maintain core data browsing features, collaborate with teams, and mentor engineers while contributing to the Sentry stack.

The Senior Software Engineer will build backend features for user-facing products, lead development processes, and collaborate across teams to enhance Pinterest's services.

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 AI Software Engineer Intern will contribute to building AI products and intelligent agents, implement autonomous systems, and assist in rapid prototyping of AI solutions.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Senior Data Scientist II will analyze complex data sets, develop machine learning algorithms, and collaborate with teams to enhance business decisions.

Lead the design and architecture of distributed backend systems, drive cloud infrastructure on AWS and GCP, mentor engineers, and promote best practices.

The Data Engineer will architect and implement advanced analytics capabilities while dealing with large datasets and building data processing pipelines.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

The Design Verification Engineer will rigorously verify designs using UVM techniques, collaborating closely with digital and analog design experts, while defining DV methodologies and ensuring quality tapeouts.

This role involves leading MLOps initiatives to automate Machine Learning workflows on GCP, collaborating with various stakeholders and ensuring efficient project delivery.