Top Machine Learning Jobs in Ottawa

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

Design and implement ML-driven solutions for user engagement and content discovery. Collaborate across teams to enhance product features using advanced machine learning models.

Interns will develop cutting-edge LLM applications, optimize prompting, and improve user experience, while collaborating with full-time engineers and receiving mentorship.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

The Senior Machine Learning Developer will enhance ML model deployment, analyze system performance, and improve operational efficiency while collaborating with applied scientists on projects.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Lead the development of computer vision systems, owning the full ML lifecycle from data processing to deployment. Mentor engineers and innovate production-grade solutions for construction challenges.

As an Applied ML Engineer at Boon, you'll build and deploy computer vision models for processing visual data in construction, ensuring high performance in production environments.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

The Senior ML Engineer at Provectus will design and deploy ML solutions, mentor junior engineers, and improve ML practices and technologies.

As an ML Solutions Architect, you'll lead technical discussions, design ML architectures for clients, and ensure scalable solutions. You'll also provide client-facing leadership and collaborate with delivery teams for successful project execution.

As an ML Tech Lead, you'll provide technical leadership and mentorship for the ML engineering team, guide technical decisions, and enforce code quality.

Lead and manage the Ads Content Understanding team, focusing on Machine Learning techniques to enhance Ads Monetization and deliver insights for business intelligence.

As a Machine Learning Manager for Ads Marketplace Quality, you will shape ad auction strategies, optimize delivery, manage team execution, and drive recruitment for Reddit's Ads business.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

The Staff ML Platform Engineer will enhance Afresh's ML platform performance and scalability, collaborating with ML teams to improve systems and deploy models efficiently.

The Senior Machine Learning Consultant designs and develops machine learning solutions while mentoring team members and collaborating with clients. Responsibilities include conducting R&D on AI/ML models, optimizing model performance, and ensuring adherence to ethical AI practices.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

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

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As the first machine learning engineer, you will develop and enhance AI models across various media to create engaging product experiences, collaborating closely with design and engineering teams.

The role involves designing scalable AI solutions, managing large-scale AI deployments, building client relationships, and delivering presentations. Requires experience in MLOps and knowledge of ML ecosystems.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

As a Senior Machine Learning Engineer specializing in Reinforcement Learning, you will develop and deploy RL solutions, optimize ML models, and lead client discussions while ensuring high-quality engineering practices are followed.

Lead technical initiatives in ML product development focusing on LLM and NLP systems. Mentor engineers, design models, and oversee data strategies while ensuring operational excellence and model performance.