Top Machine Learning Jobs in Ottawa

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Lead end-to-end growth marketing for 1Password's SaaS Manager: build demand gen and cross-sell programs, run experiments, partner with Product/PMM/Sales, leverage AI agents and automation to scale pipeline and create repeatable growth playbooks.

Teach a 3-credit graduate/undergraduate course (MIA5130) on systems optimization and management online. Develop and deliver lectures, assignments, and assessments covering optimization techniques, AI/ML-enhanced methods, and computational tools (Python, MATLAB, solvers). Apply practical examples from industry and guide students in data-driven decision systems.

Teach an online graduate/undergraduate systems optimization course (MIA5130). Develop and deliver lectures, assignments, and projects applying optimization and AI/ML techniques. Use Python/MATLAB and optimization solvers, supervise student work, evaluate performance, and integrate machine learning–enhanced and heuristic optimization methods for real-world applications.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

The role involves exploring 6G technologies, conducting research, developing prototypes, and contributing to standards and publications in wireless solutions.

Develop and enhance machine learning systems for fraud detection, build pipelines, prototype models, ensure model health, and collaborate with cross-functional teams.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Lead the data and ML product vision: define roadmap, prototype models on noisy behavioral datasets, translate signals into user-facing features, partner with engineering to productionize ML, and generate insights to inform product roadmaps.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

Lead development and execution of a multi-year automation and AI/Industry 4.0 roadmap for manufacturing. Build and mentor a multidisciplinary automation team, oversee end-to-end program delivery (concept through commissioning), integrate ML/vision/IoT/SCADA systems, manage budget and metrics, and drive measurable improvements in safety, quality, throughput, and cost.

Embed with clients to gather requirements and design AI-driven solutions for fraud and fincrime. Architect, train, evaluate, and deploy custom AI agents and workflows, optimize model performance, establish risk metrics and evaluation pipelines, and collaborate with engineering/product teams to scale into production.

The Solutions Engineer will engage with stakeholders to design AI-powered engineering solutions, bridging business needs and technical execution while guiding customers through AI integration.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Own product strategy and execution for discovery, navigation, and presentation of bias/factuality signals. Drive experiments, analyze metrics, and partner with engineering, design, ML, marketing, and analytics to improve engagement, conversion, and retention for a consumer subscription product across mobile and web.

Lead architecture and delivery of production-grade applied AI systems (LLMs, retrieval, agents). Solve cross-stack technical problems, define platform direction on AWS, optimize data and database design, improve quality/QA and observability, mentor a ~20-person team, and translate ambiguous product opportunities into measurable technical outcomes.