Top Tech Jobs & Startup Jobs in Toronto

The Senior AI Engineer will design, develop, and deploy AI solutions, mentor junior engineers, manage data pipelines, and ensure responsible AI practices.

The Data Scientist will develop analytical models and tools to drive business insights, collaborating closely with various teams to enhance data usage and improve decision-making.

Lead global vendor risk management, ensuring compliance with regulations, optimizing processes, and leveraging AI tools. Build partnerships and manage audit findings.

The Operational Engineer will manage and support server and cloud environments, optimize application performance, and upgrade infrastructure, utilizing advanced technologies and collaborating across departments.

As a Machine Learning Engineer, you'll design and implement ML pipelines, optimize models, collaborate with various teams, and document processes, all focused on delivering innovative analytics solutions.

The AVP will drive workforce transformation using AI tools, craft organizational strategies, and influence senior stakeholders to optimize talent and business agility.

Seeking an Associate Full-Stack Software Engineer to build and maintain applications, work with automation tools, and support projects using various technologies.

Lead the digital product strategy for institutional asset management. Drive product delivery, analyze data, modernize platforms, and ensure user engagement.

This role involves designing and integrating workflows for advisor practices, ensuring measurable outcomes and reducing friction for advisors. Responsibilities include creating reusable connection kits, defining workflows, and validating launches for efficiency and reliability.

The People Partner at Manulife John Hancock drives talent strategy, workforce planning, and leadership coaching, ensuring organizational alignment and employee development.