Top Machine Learning Jobs in Ottawa

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

Lead cross-organizational technical strategy and execution for core sharing and collaboration systems. Architect and implement foundational frontend/backend and platform solutions at massive scale, drive AI/LLM adoption, mentor engineering leaders, resolve systemic bottlenecks, and remain hands-on in critical design, prototyping, and code contributions.

Own vision, strategy, and roadmap for cost-optimization and energy-management products for fleets. Translate telematics and operational data into customer-facing features, run discovery, prototype MVPs, define success metrics, and ship end-to-end with cross-functional teams.

Lead full-stack development for Toast IQ, owning user experience, backend services, and product integrations. Drive architecture, mentor engineers, participate in design and code reviews, and apply ML/LLM capabilities to improve product velocity and reliability.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

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.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

Lead engineering strategy and execution for GitLab's growth and monetization platforms including self-service purchase, billing, usage metering, entitlements, quote-to-cash, integrations (Zuora, Salesforce), and API-first scalable architectures. Align cross-functional partners, ensure reliability, compliance (SOX), and apply AI/ML for predictive pricing and usage forecasting to support usage- and impact-based pricing.

Lead product strategy for consumer credit, underwriting, merchant pricing, and loan economics. Define features, specs, and metrics; partner with engineering, analytics, design, commercial, legal, and capital to launch and scale products across channels and geographies.

Manage a team of ML engineers to develop machine learning solutions for underwriting applications. Set technical strategy, mentor engineers, and collaborate with teams across the organization.

Support development and operation of the Flight Dynamics System for LEO satellites by performing orbit determination, conjunction assessment, maneuver planning and post-maneuver validation. Assist with FDS development, verification, automation scripting, on-station orbit management, LEOP/IOT/EOR campaigns, and prepare technical reports for management.

Lead Flight Dynamics for the Lightspeed LEO constellation, owning orbital operations, SSA, maneuver and station-keeping strategy, CONOPS across mission phases, team leadership, FD system development, cross-team coordination, and go/no-go operational decisions.

Lead mission planning and execution for LEO orbit raising, station-keeping and disposal. Perform orbit determination, maneuver design, conjunction assessment and collision avoidance. Automate and refine operational workflows, support FDS/SSAS development and verification, mentor junior analysts, and provide operational inputs across LEOP/EOR and on-station phases.

Lead engineering for in-orbit operations of Lightspeed LEO satellites: integrate and validate SatOps systems, develop SOC products and automation, maintain procedures, provide engineering guidance and training, drive telemetry analytics and SDP development, and oversee CONOPS across LEOP and routine operations.

Lead development and automation of the Flight Dynamics System (FDS), building CI/CD pipelines, operational scripts, and integrations. Plan and execute orbit determination, maneuver planning, station-keeping, LEOP/EOR campaigns, propellant tracking, and SSA integration. Mentor FD team, collaborate with SOC Systems and vendors, document workflows, and present technical reports to management.

Support FP&A forecasting, budgeting, and rolling forecasts; build driver-based financial models; analyze variances and deliver insights; create BI dashboards; validate data across ERP, Anaplan, and Snowflake; and automate reporting while enabling AI-driven forecasting.

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.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

Lead end-to-end personalization ML initiatives: build scalable ML pipelines, design CI/CD for models, monitor production performance, implement retraining and drift detection, partner with cross-functional teams, and mentor engineers.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.

Lead an interdisciplinary research program investigating mechanistic interactions in psychosis using neuroimaging, computational psychiatry, AI/ML, and multimodal data integration; supervise trainees, obtain external funding, teach, and translate discoveries into precision psychiatry and patient-centred care.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

Independently validate and monitor machine learning models used for credit underwriting, credit risk, and fraud detection. Identify weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Partner cross-functionally to implement and maintain the Model Risk Management framework and support audit, compliance, and regulatory requests.