Top Machine Learning Jobs in Ottawa

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with sales, create materials, and conduct market research to drive growth in the gaming and 3D industries.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

Lead and scale Zapier's AI/ML organization by defining strategy, delivering ML products and platforms, coaching teams, enabling product partners, and ensuring safe, reliable, cost-effective model deployment and operations.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

Lead the technical strategy and execution for computer vision and machine learning systems. Oversee complex problem solving and collaborate on hardware-software co-design. Mentor teams and implement end-to-end machine learning solutions.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

As a Senior Product Manager, you will lead the transformation of Scribd's platform, developing product vision, strategy, and communicating with various stakeholders while tracking user success metrics.

Drive net-new enterprise logo acquisition by selling Findems People Intelligence platform. Target HR, Talent Marketing, and Recruiting teams, mapping CRM and marketing automation practices to talent pipeline modernization. Manage complex, multi-stakeholder sales cycles, build ROI-driven business cases, collaborate with internal teams, and forecast and close multi-product, multi-year contracts.

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

The role involves architecting deep neural networks for object detection and tracking, optimizing performance, and developing data strategies in a low-data environment.

The Senior Account Executive will engage in B2B sales, developing relationships, understanding dealer needs, increasing revenue, and collaborating with stakeholders, while traveling 50-75%.

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.

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.

As a Staff ML Engineer, you'll design and deploy ML pipelines for real-time ad delivery, optimizing performance metrics, and mentoring the ML engineering team.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

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

Develop, deploy, and maintain scalable machine learning systems for ad monetization. Collaborate with cross-functional teams to optimize ad experiences through ML solutions.

Design and scale the infrastructure for ML systems, enabling reliable trading system production, optimizing performance and ensuring correctness across complex environments.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.