Top Python Jobs in Toronto

The Senior Data Scientist will design and maintain metrics, reports, and dashboards, develop algorithms, conduct data analysis, and collaborate with teams to enhance business decisions.

Lead initiatives to enhance developer infrastructure by architecting systems, improving CI/CD pipelines, and mentoring engineers. Focus on operational excellence.

The Senior Software Engineer will build security features for an AI platform, develop secure agents, and perform application security testing.

Lead a team of engineers to deliver AI solutions, managing deployments and collaborating with various teams to ensure successful client interactions.

The Principal Data Scientist will lead the data science team, develop data products, and drive insights through advanced analytics and machine learning techniques.

Develop and deploy autonomous agents within the North AI workspace platform, collaborating with customers and leading end-to-end deployment in cloud environments.

The Manager, Data Science will lead a team to develop AI and machine learning models, support product features, and drive data applications across the organization.

The role involves developing and optimizing 2D and 3D software features, debugging code, and supporting hardware platforms, while maintaining current knowledge of software development and computer graphics.

The Senior Compositing Software Developer will develop and maintain a new compositing toolset within Houdini, optimize algorithms for performance, and collaborate with R&D staff and artists on innovative visual effects technology.

The FPGA IP Design Engineer develops and verifies memory interface and chip-to-chip IP cores, working on advanced architectures, design implementation, and customer support.

The Senior Analyst will support cash administration and reconciliation, ensure transaction accuracy, manage stakeholder relationships, and prepare reports.

As a Principal Engineer, you will drive technical vision, lead architecture, provide guidance, and innovate within the team.

As a Staff Engineer at Newton, you will lead the development of secure, scalable systems, mentor engineers, and drive best practices in software development and DevOps.

As a Senior Developer, you'll lead design and implementation of software features, mentor juniors, conduct code reviews, and enhance system performance.

As a Staff Machine Learning Engineer, you will design scalable AI infrastructure, implement AI systems, lead technical decisions, and collaborate with teams to enhance AI/ML solutions.

The Senior Data Scientist develops data capabilities, analyzes performance metrics, builds data processes, and collaborates with teams to optimize business decisions.

As an ML Engineer, you will develop and deploy machine learning solutions, design robust pipelines, and collaborate with cross-functional teams to improve key performance indicators in the travel industry.

The Staff Software Engineer will develop maintainable code, lead system architecture, mentor others, and drive technical initiatives within the AI Platform team.

Responsible for designing and implementing scalable backend services for games, driving technical innovation, and mentoring engineers within a collaborative team.

This role involves bridging business and technical teams, managing BI tools, optimizing data workflows, and ensuring reliable reporting practices.

The Principal Software Engineer leads software quality, performance, and scalability, ensuring high standards while developing solutions alongside teams. They also mentor others and oversee technical quality across projects.

The Senior Infrastructure Engineer will architect, implement, and maintain a cloud ecosystem for AdRise, ensuring scalability, performance, and security. This role involves using IaC, collaborating with cross-functional teams, and optimizing AWS resources for ad delivery solutions.

Design, build, and maintain scalable distributed systems. Automate operations, respond to incidents, monitor performance, and improve reliability using AI-driven solutions.

The role involves designing and managing cloud network infrastructure using AWS, Terraform, and Kubernetes, focusing on traffic engineering and IaC best practices while mentoring junior staff.

Drive the vision and architecture for ML infrastructure, tackling complex technical challenges and mentoring engineers while collaborating with cross-functional teams.