Top Machine Learning Jobs in Calgary

Build and deploy end-to-end statistical and machine learning solutions for clients and internal delivery teams. Responsibilities include scoping ambiguous problems, analyzing operational challenges, prototyping AI workflows, translating messy data and real-world constraints into scalable solutions, iterating with stakeholders, and developing reusable tooling and infrastructure. The role combines hands-on data science with technical consulting and requires communication with technical and non-technical stakeholders.

Analyze product usage and telemetry data to identify trends, opportunities, and product improvements. Partner with Product Analytics, Data Science, and product teams to define success metrics and measurement plans. Build dashboards, reports, and self-service analyses using SQL and analytics tools, validate telemetry and data quality, and communicate findings through written analyses, presentations, and recommendations.

Leads complex data science and advanced analytics initiatives to support business decisions. Oversees data mining, feature engineering, data quality, predictive modeling, segmentation, and model deployment. Develops programming for data preparation and model management, creates visualizations and executive presentations, establishes modeling guidelines, supports documentation and training, and improves data management tools. Acts as a subject matter expert and advisor while coordinating stakeholders and translating business needs into analytical solutions.

Lead the integrated robotaxi program plan from autonomy and vehicle readiness through safety validation, fleet operations, regulatory approvals, and commercial launch. Manage cross-functional dependencies, risks, milestones, KPIs, executive reporting, and scalable tracking processes while coordinating engineering, safety, commercial, operations, and external partners.

Own the Admin Workflows area of 1Password’s Enterprise Password Manager, defining a roadmap for administrator capabilities, dashboards, reporting, notifications, recovery, user confirmation, and MCP features. Partner cross-functionally with Engineering, Design, Marketing, and go-to-market teams to ship API-centric enterprise features, address customer problems, drive business outcomes, and measure product success. The role requires strong cybersecurity expertise, technical API knowledge, leadership, communication, and enterprise product management experience.

Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.

Leads product growth for 1Password’s AI opportunities by defining target markets, validating customer outcomes, running design-customer deployments, developing ecosystem partnerships, and scaling successful motions through sales, channels, and developer communities. The role owns strategy, customer adoption, integrations, commercialization, and cross-functional execution while working with enterprise customers, engineering, product, design, business development, and go-to-market teams.

Own and improve Quora’s second-phase ranking models for feed and digest experiences. Build end-to-end machine learning systems covering data pipelines, candidate extraction, feature engineering, model training, and production integration. Identify new product applications for machine learning, develop efficient algorithms with other ML engineers, and contribute methodologies for large-scale recommendation systems.

Build and deliver production AI systems across machine learning, generative AI, and agentic workflows. Design scalable ML and data pipelines, integrate heterogeneous data, evaluate emerging AI frameworks, and deploy secure cloud-native solutions. Collaborate with data science, product, security operations, and threat research teams to deliver customer value. Write and review code, troubleshoot production issues, measure AI quality, document technical decisions, and mentor engineers.

Develops and optimizes credit acquisition strategies, underwriting criteria, credit line assignment rules, and automated decisioning processes. Uses SQL, Python or R, advanced analytics, and machine learning to monitor portfolio performance, delinquency, defaults, and credit exposure. Collaborates with Credit Operations, Product, Engineering, Finance, and Growth teams to implement risk controls, manage exceptions, ensure regulatory compliance, and translate analytical insights into actionable credit policies.

Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.

Leads Geotab’s North American channel sales organization, owning revenue, market share, profitability, partner growth, and strategic commercial relationships. Develops partner plans, negotiates agreements, expands the ecosystem, enables resellers and strategic partners, and aligns channel and direct sales. Builds and manages a high-performing team, oversees hiring and budgets, and applies AI and automation to improve forecasting, productivity, sales processes, and partner effectiveness. Travel of up to 60%, including internationally, is required.

Owns strategic relationships and long-term success for assigned automotive dealership accounts. Develops Customer Value Plans, leads outcome-focused Value Reviews, monitors adoption and account health, forecasts renewals, identifies expansion opportunities, and translates platform usage into measurable business value. The role coordinates with Sales, Product, Support, Enablement, and Implementation teams while representing customer needs internally. Travel to dealerships and customer events may be required.

Leads advanced data analytics for Tribal healthcare initiatives, including data resource inventories, quality assessment, linkage analysis, predictive and prescriptive modeling, reporting, dashboards, and large-scale analytics projects. Establishes data quality frameworks, supports federal compliance, coordinates cross-functional initiatives, and mentors junior analysts. Uses Python, R, SQL, statistical methods, machine learning, and data modeling to produce actionable insights and maintain data integrity.

Leads product strategy, vision, roadmap, and execution for 1Password’s Developer Experience, AI security, and AI-powered security portfolios. Oversees secure developer and AI-agent workflows involving identity, delegation, secrets delivery, and access control. Partners with engineering, design, marketing, partnerships, security, and GTM teams; leads standards and developer engagement; establishes product metrics and operating rhythms; and recruits and mentors senior product managers.

Develop and productionize fraud detection machine learning models using large-scale behavioral, device, network, and transaction data. Lead investigations into complex fraud attacks, reconstruct attacker behavior, identify trends, and produce technical reports and customer-facing insights. Collaborate with product, engineering, operations, legal, executives, and customers to improve detection systems and automate analytic workflows.

Design and operate large-scale data and ML platforms supporting audience data, feature stores, training pipelines, model serving, monitoring, and LLM-powered workflows. Own end-to-end data pipelines, reliability, SLAs, observability, and business impact. Apply distributed systems principles, production ML practices, and agentic technologies while collaborating across product and engineering teams in a fully remote environment.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Leads the transformation of Sophos’s pricing operations by building a centralized function, establishing governance and segment-based pricing cadences, and developing AI-assisted competitive and discount analysis. The role builds a new team, partners with Network Security, provides leadership with market intelligence, and tracks pricing performance metrics. Candidates need experience transforming pricing, revenue operations, or deal desk functions in B2B SaaS or technology businesses, along with strong change-management and people-leadership skills.

Annotate robot episodes, videos, images, and sensor data for robotics AI models. Label objects, actions, task steps, and outcomes; write behavioral descriptions; identify ambiguous cases; perform annotation quality checks; meet accuracy and throughput goals; and report tool or workflow issues to engineering. The role requires high attention to detail, strong written communication, sound judgment, and comfort working under deadlines and ambiguity.

Own post-sale relationships with electric utility customers, drive adoption and ROI of the Buzz Solutions platform, identify expansion and at-risk accounts, coordinate training and enablement, advocate customer needs to product and engineering, and maintain account health data in Salesforce.

Lead the design and deployment of large-scale bioinformatics and omics pipelines spanning genomics, transcriptomics, and proteomics. Integrate multimodal biological data with machine learning, develop reproducible analysis frameworks, benchmark predictive models, and collaborate with wet-lab scientists to guide molecular engineering and experimental campaigns. Contribute novel computational biology algorithms, research roadmaps, and scientific leadership.

Designs and implements enterprise cloud and AI solutions for unstructured data workloads. Responsibilities include building ingestion pipelines, API integrations, document extraction and HITL workflows, tuning machine learning models, benchmarking performance, and ensuring security, availability, disaster recovery, and data isolation. The role also supports customer developers, leads technical proofs of concept, mentors engineering teams, develops reusable blueprints, and provides feedback to product engineering.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Leads Kinaxis’s Advanced Mathematical Modelling function, managing architects, algorithm developers, and operations research specialists. Provides technical and strategic leadership across optimization, machine learning, simulation, decision science, and algorithm development. Partners with Product Management, Engineering, and customer teams to solve supply chain challenges, guides research and prototyping, shapes platform architecture, and promotes scalable production solutions. Oversees talent acquisition, coaching, workforce planning, performance management, and career development while establishing the function’s vision and operating model.