Top Python Jobs in Toronto

The manager will perform penetration testing, vulnerability assessments, and cyber risk analysis while leading consulting efforts and managing client engagements.

The Principal Data Scientist at Sanofi leads in machine learning and advanced analytics, driving data-centric product development and overseeing cutting-edge analytical approaches while mentoring junior colleagues.

Drive data-informed decisions by conducting advanced analysis, collaborating with cross-functional teams, and creating impactful visualizations to support business strategies.

The role involves managing a team of software engineers focusing on test automation for Digital Pathology algorithms, collaborating with cross-functional teams, and ensuring software quality and best practices.

Develop and optimize high-performance bioinformatics algorithms for NGS data analysis, collaborating with cross-functional teams to create robust software solutions.

Design and productionize automated pipelines for high-throughput sequencing data, optimize dataflow architectures, and collaborate with teams to support scientific and business objectives.

As a Full Stack Developer, you will build and maintain web applications, engage in coding, collaborate with teams, and learn about healthcare standards.

As a Senior Full Stack Developer, you'll lead complex feature development, set technical standards, mentor team members, and ensure high-quality, scalable solutions for healthcare interoperability.

The role involves providing strategic technical guidance in full-stack web development, advising on optimal tech stacks, mentoring teams, and ensuring performance, scalability, and security in cross-platform applications.

As a Cloud Engineering Intern, you will assist in designing, implementing, and managing cloud infrastructure, optimizing performance, and documenting procedures.

Design, develop, and optimize systems for large language models while collaborating with a multi-disciplinary team, and manage infrastructure effectively.

The Software Engineer will develop AI-driven platforms, ensuring user-friendly interfaces and collaborating with teams throughout the project lifecycle.

As a Senior Software Engineer, you'll build data extraction pipelines, design modular services, integrate ML models, and enhance data infrastructure for AI-driven legal tech.

Lead the design and development of backend systems for intelligent applications. Responsibilities include API development, microservices architecture, and collaboration with AI/ML teams.

Lead development of full-stack web applications, making architectural decisions, collaborating with teams, writing clean code, and refining products post-launch.

As a Senior Site Reliability Engineer, you will improve cloud platform reliability, engage with customers, automate tasks, and collaborate with cross-functional teams.

Lead ML-driven capabilities for Loopio's platform, focusing on NLP, LLMs, and knowledge graph solutions while mentoring engineers.

As a Data Engineer, you'll design and deploy data pipelines and APIs, ensure data governance, and collaborate with teams to enhance the enterprise data platform.

The Data Analyst will support campaign measurement, audience analytics, and programmatic operations, focusing on data storytelling and optimization of campaign delivery.

The Senior Financial Planning Analyst at Rakuten Kobo will prepare financial forecasts, conduct data analysis, and support budgeting processes, collaborating with various departments and providing key stakeholder insights.

As a Forward Deployed Engineering Manager, you will lead a team, prototype AI solutions, integrate data, manage customer relationships, and collaborate globally to deliver measurable outcomes in e-commerce solutions.

Develop scalable backend services, integrate AI models, collaborate with global teams, drive technical quality, and ensure end-to-end feature delivery.

As a Senior/Staff Backend Engineer, you'll build features for an AI workspace platform, develop autonomous agents, and ensure security while collaborating on productionizing AI models. Strong Python experience is key.

As a Software Engineer in Applied ML, you'll design solutions for enterprise AI, focusing on product lifecycle and large language models.

As a Software Engineer, you will build and operate Kubernetes GPU superclusters, optimize infrastructure for AI workloads, and improve system stability and performance.