Top Machine Learning Jobs in Ottawa

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

The Legal Product Consultant will integrate AI legal tools into firms, support client onboarding, and provide feedback for product innovation.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

Lead innovative product development in the entertainment sector, establish architecture and engineering standards, mentor engineers, oversee complex projects, and drive technical solutions.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML model design and implementation for fraud detection and risk management, collaborating across teams to enhance security systems.

The role involves applying advanced machine learning techniques to improve customer interactions, mentoring engineers, and designing scalable systems at Coinbase.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

Develop scalable machine learning models, collaborate with DevOps and Data teams, create proofs of concept, and ensure high-quality software development.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.