Top Machine Learning Jobs in Toronto

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

As an Account Executive, you will drive new business opportunities and manage existing accounts in the telecom sector, contributing to revenue growth and sales strategy execution.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

The Senior Data Engineer will develop and maintain MaintainX's data platform, implement data pipelines, ensure data governance, and collaborate with engineering teams.

The role involves designing, developing, and implementing AI/ML solutions for Investment Banking products. Responsibilities include leading technical direction, mentoring junior engineers, collaborating with stakeholders, optimizing AI systems, and ensuring data quality for deployment.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The Solution Architect focuses on integrating and enhancing AI features within enterprise applications, driving operational excellence and hyperautomation across the organization.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

Lead integration of global airline partners, optimize supply ecosystem, leverage AI for automation, and manage product specifications and roadmaps.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

The Senior Director, AI Engineering will lead the Machine Learning and Data Science teams, defining strategy, and embedding AI in products. Responsibilities include overseeing model development, team management, and integrating LLM and NLP technologies.

The Senior Technical Account Manager acts as a technical advisor for ISP and Enterprise customers, driving successful adoption of Plume's solutions while coordinating cross-functional efforts and managing customer relationships.

As a Machine Learning Engineer at Doppel, you will design, train, and deploy models for detecting malicious content, working with large datasets and collaborating with teams to ensure scalability and production readiness.

As a Senior Data Scientist, you will enhance product listing quality for local retailers using machine learning and deep learning techniques. You will design ML solutions and collaborate with cross-functional teams to improve product discovery and evaluation processes.

Lead the development and improvement of fraud prediction models using machine learning techniques, collaborating with various teams to ensure model effectiveness and operational robustness.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Manage product teams to develop AI-driven data analytics for the medical devices sector, enhancing product strategies and achieving commercial goals.

The Senior Product Manager at Geotab oversees product development, manages a comprehensive product roadmap, and drives strategic alignment across multiple initiatives while collaborating with various teams.

The AI Product Manager will lead the development of AI-powered applications, collaborating with engineers and designers to align AI technologies with user needs and business objectives.