Top Machine Learning Jobs in Ottawa

Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.

Own company-critical technical problems and long-term strategy across multiple organizations. Architect scalable customer-facing systems and platforms, remain hands-on in software development, influence senior product and engineering leaders, establish engineering standards, and drive responsible AI adoption in products and workflows. The role requires deep expertise in large-scale software systems, consumer products, distributed systems, and production ML and LLM applications.

Own end-to-end analytical problems across risk, fraud, growth, and lending products. Develop strategies, monitor portfolio and macroeconomic trends, build metrics and analytical frameworks with Engineering and Machine Learning teams, and influence product, regulatory, compliance, and launch decisions. Engage external partners, translate complex insights into action, create AI-assisted workflows, and mentor junior analysts.

Lead Block’s global Workforce Optimization function across customer-facing and regulated operations. Establish strategy for forecasting, capacity planning, staffing, real-time management, analytics, automation, and vendor governance. Build predictive workforce systems, align operational and financial plans, manage risk and compliance capacity, oversee incidents and escalations, and develop a multidisciplinary global team supporting employees, outsourced partners, and AI systems.

Leads compliance technology oversight for transaction monitoring, sanctions screening, customer risk scoring, and AI-driven case resolution models. Builds AI-powered automation, governance frameworks, human-in-the-loop controls, real-time monitoring dashboards, data-quality controls, and model performance processes. Partners with engineering, machine learning, policy, regulators, and independent monitors to ensure models and data pipelines are explainable, auditable, exam-ready, and aligned with AML requirements across fiat and virtual currency products.

Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.

Develop and scale production machine learning models for credit decisioning, including default prediction and approval decisions. Build training, decisioning, monitoring systems, data pipelines, features, and algorithms. Conduct research, develop prototypes, and collaborate with engineering, credit, and product teams to deliver machine learning products from inception through business impact.

Teaching Assistant for Foundations and Applications of Machine Learning. Responsibilities include supporting students, grading coursework, proctoring midterm and final exams, and applying knowledge of feature engineering, supervised and unsupervised learning, evaluation strategies, metrics, and machine learning programming.

Perform AI data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and other content. The role requires native-level Canadian French and fluent or advanced English. Prior experience with machine learning tasks, data preprocessing, quality assurance, or data annotation is preferred. This is flexible, part-time freelance work conducted fully remotely.

Teach and support the Applied Machine Learning for Computer Engineering course in person. Responsibilities include grading assignments, lab reports, and midterms; supervising tutorials and labs; proctoring; directing group projects; holding office hours; and assisting with labs, project descriptions, and sample programs. Two positions are available for the Winter 2027 semester, with 130 total hours each.

Teach weekly in-person laboratories or tutorials for a Machine Learning course, grade assignments, provide weekly office hours and email support, and proctor midterm and final examinations. The role includes 130 total hours from January 1 through April 30, 2027. Candidates preferred have completed the course or equivalent and prerequisites with an A or better, and must attend a TA workshop if required and participate in an interview.

Lead product vision, strategy, and execution for Walmart’s Enterprise AI Platform. Define durable platform capabilities spanning MLOps, model access, inference, developer experience, governance, reliability, observability, and AI economics. Partner with engineering, infrastructure, security, governance, finance, and business teams to drive adoption, safety, cost efficiency, and enterprise-scale outcomes. Build and develop a high-performing product organization while translating rapidly evolving AI technologies into durable platform strategy and execution.

Verify inference accelerator ASIC designs at block and SoC levels using advanced methodologies, random stimulus, functional coverage, assertion-based verification, SystemVerilog, and UVM. Develop testbenches, verification infrastructure, reference models, and automated flows; debug designs; collaborate with architects, designers, and pre- and post-silicon teams; and improve verification productivity through innovative techniques.

Leads Jobber’s credit risk function, including team growth, underwriting, portfolio monitoring, credit policy, risk appetite, loss forecasting, provisioning, stress testing, and model governance. Partners with Data Science, Product, Finance, Legal, Compliance, and funding partners to build automated, AI-enabled credit decisioning for payments and lending. Owns regulatory compliance, vendor relationships, executive reporting, and the multi-year credit risk roadmap.

Leads development of scalable backend and platform capabilities across the full software lifecycle. Designs cloud-native systems, APIs, infrastructure, tooling, and ML frameworks; integrates AI/ML applications; conducts system design reviews; and ensures deployment, observability, and maintenance. Mentors engineers, influences technical decisions, collaborates with stakeholders, and applies data-driven practices to improve engineering productivity and product outcomes.

Lead end-to-end delivery of enterprise Generative AI and Agentic AI programs, coordinating data science, machine learning, data engineering, product, architecture, and client teams. Oversee RAG pipelines, multi-agent ecosystems, knowledge graphs, production deployment, risks, dependencies, and technical challenges. Communicate program progress, blockers, and decisions to senior leadership and stakeholders while ensuring successful delivery of complex AI initiatives.

Conduct empirical AI safety research with mentor guidance, owning projects from hypotheses and controlled experiments through analysis and technical writing. Build and debug evaluation harnesses, agent environments, datasets, monitoring methods, and post-training experiments. Investigate model failures, alignment, deception, misuse, multi-agent risks, and evaluation reliability. Produce reproducible code, experiment logs, research analyses, and papers for potential submission to leading machine learning conferences.

Leads pre-sales discovery, solution architecture, strategic advisory, scoping, SOW development, RFP responses, and deal strategy for large-scale data, AI, and cloud transformations. Designs GCP-based data, ML, GenAI, and agentic solutions; facilitates executive workshops; shapes industry-specific offerings; supports opportunities exceeding $1 million; and serves as a trusted technical advisor to C-suite and architecture stakeholders.

Develop graduate-level Applied AI course materials, including lessons, labs, case studies, assignments, rubrics, projects, glossaries, templates, and worked examples. Design practical activities using LLMs, RAG, AI agents, automation, APIs, and evaluation tools. Curate research and standards, support learners with limited technical backgrounds, collaborate with learning designers and university faculty, revise content based on academic feedback, and keep materials current with evolving AI tools and regulations.

Develop AI/ML strategy and production software for a healthcare data platform. Design architectures, implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code; conduct reviews and pair programming; collaborate with clients and product teams; mentor developers; and contribute to technical strategy and Agile delivery.

Leads AML transaction-monitoring optimization, rule testing, threshold tuning, scenario design, and false-positive reduction. Drives FIU automation and workflow improvements, evaluates AI and LLM tools, supports alert triage and investigations, and partners with Product, Engineering, Operations, and vendors on compliance technology integrations. Helps scale monitoring frameworks across products, jurisdictions, and transaction volumes while maintaining regulatory alignment.

Leads 1Password’s Platform Engineering organization, owning the strategy, operations, reliability, security, scalability, and cost effectiveness of core engineering platforms. Drives multi-year architecture and operating-model transformations, establishes engineering standards and measurable outcomes, builds supported paths for autonomous teams, partners with executive and cross-functional leaders, oversees investment strategy, and develops high-performing engineering leaders and teams.

Leads and grows an AI engineering team building production LLM-powered healthcare products. Responsibilities include defining AI systems, evaluation practices, prompt and model management, retrieval, guardrails, monitoring, observability, model upgrades, cost and latency optimization, and roadmap planning. Partners with Product, Clinical, Pharmacy, and CX teams to ensure AI systems are safe, accurate, auditable, and compliant in a regulated healthcare environment.

Own the vision, roadmap, architecture, and business outcomes for Versapay’s global payment gateway platform. Lead payment performance improvements, processor and acquirer integrations, transaction lifecycle capabilities, compliance, APIs, SDKs, and engineering execution. Partner with product, engineering, risk, compliance, operations, finance, and executives while applying AI to payment optimization, anomaly detection, and incident management.

Teach tutorials on machine learning and blockchain, hold office hours, evaluate case studies, provide structured student feedback, and proctor exams. The role requires strong fintech and blockchain knowledge, excellent grading and workload-management skills, a minimum CGPA of 7.0, and an A- or higher in ADM3355 or an equivalent course. Candidates must complete a written examination and be located in Ottawa during the course.