Top Machine Learning Jobs in Ottawa

Develop and evaluate signal processing and machine learning algorithms for next-generation radio systems. Build simulations, prototypes, and proof-of-concept solutions; analyze data; perform software and hardware verification; automate testing; and support troubleshooting and performance analysis. The role involves collaboration with system, hardware, and software engineers and exposure to computer vision, AI, wireless communications, and advanced radio technologies.

Co-op student supporting Ericsson’s radio architecture team through algorithm and machine learning development, field-data analysis, simulation, prototype test-bed setup, hardware and software testing, troubleshooting, and formal documentation. The role involves hands-on collaboration with hardware and systems designers and exposure to wireless communications, signal processing, embedded systems, and laboratory equipment.

Develops AI-powered solutions for system verification, testing, and engineering workflows. Responsibilities include building Generative AI, LLM, RAG, and agentic AI applications; integrating AI tools with engineering systems; analyzing quality and testing data; supporting proof-of-concepts; and creating dashboards and visualizations. The role collaborates with verification engineers, test managers, and software developers to improve automation, productivity, and product quality.

Drive pipeline and revenue growth through digital prospecting, lead qualification, relationship building, and SaaS sales. Engage prospective enterprise customers, manage inbound and outbound leads, use tools such as LinkedIn, 6Sense, Outreach, ZoomInfo, and Salesforce, and collaborate with account executives, sales engineers, channel partners, and marketing. The role includes booking discovery calls, creating opportunities, meeting funnel and pipeline KPIs, and closing transactional deals and upsells.

Leads the ISAC System Verification organization’s test strategy, test management, quality objectives, coverage models, metrics, and risk-based validation. Drives AI-assisted testing, automation, continuous validation, and CI/CD-integrated verification for communications and sensing functionality. Partners with systemization, development, requirements, product, and release teams while communicating quality status and readiness to leadership. Coaches engineers, improves verification methodologies, and supports scalable quality practices for current ISAC products and future 6G solutions.

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 technical strategy and implementation for RAN software portability across Intel, ARM, AMD, and RISC-V COTS platforms. Responsibilities include architecture alignment, platform onboarding trials, benchmarking, performance profiling, system validation, portability standards, reusable engineering assets, AI-assisted automation, and shared infrastructure readiness. The role mentors distributed teams, represents portability in technical forums, contributes intellectual property, and collaborates with research institutions.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Leads the enterprise IT function across Canada, setting technology strategy, modernizing applications and platforms, advancing AI and automation, and strengthening cybersecurity, infrastructure, and IT controls. Oversees technology roadmaps, budgets, vendors, service management, governance, and portfolio rationalization while partnering with executive stakeholders. Manages IT leaders and develops talent, ensuring technology investments support business growth, operational excellence, security, and digital transformation.

Design and develop machine-learning approaches for vehicle control, including learned vehicle dynamics models, adaptive controllers, data pipelines, evaluation metrics, and simulation tooling. Integrate learned models into safety-critical closed-loop systems and validate algorithms through offline experimentation, simulation, and on-vehicle testing. Collaborate with engineers and research scientists to combine classical control with AI for scalable self-driving technologies.

Manages science and technology initiatives for sustainable industrial fisheries. Leads multidisciplinary projects involving electronic monitoring, AI, machine learning, computer vision, data systems, hardware, software deployment, and seafood traceability. Oversees vendors, contractors, budgets, procurements, technical assessments, and deployment of systems in remote environments. Translates technical concepts for diverse stakeholders and supports technology evaluation, scaling, and conservation strategy. The role may require domestic and international travel of 25% or more.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Lead the vision, architecture, and standards for Twilio’s enterprise AI/ML platforms and products. Guide large-scale system design, solve complex engineering problems, establish best practices, mentor senior technical leaders, and collaborate across business functions. Partner with product, engineering, program, design, and executive teams to develop scalable AI solutions, drive cross-organizational initiatives, and present technical strategies and deliverables to executive leadership.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Lead independent validation and ongoing monitoring of complex financial and analytics models, including ALM, loss forecasting, loan transition, corporate planning, and engagement models. Identify weaknesses, communicate findings, guide remediation, and strengthen model risk governance. Partner with Finance, Quantitative Research, Growth Analytics, Internal Audit, Internal Controls, Accounting, and Compliance on validation, audit, regulatory, and examiner matters.

Develops communications strategy and thought leadership for cybersecurity, identity, access management, and AI topics. Responsibilities include media relations, executive communications, contributed content, event and speaking strategies, rapid response, narrative development, journalist engagement, and communications measurement. The role translates complex technical concepts into credible messaging for developer, business, and security audiences while collaborating with marketing, product, engineering, security, legal, sales, executives, and agencies.

Lead positioning, messaging, go-to-market strategy, launches, channel enablement, competitive intelligence, and analyst relations for Sophos’ AI cybersecurity solutions. Translate complex technical capabilities into buyer- and partner-focused narratives, build launch assets and sales tools, and coordinate cross-functional execution across product, sales, marketing, and research teams. The role also develops customer feedback loops, competitive battlecards, and category-defining market perspectives.

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.

Own strategic enterprise customer relationships, driving adoption, retention, measurable value, and expansion. Lead success reviews and executive engagements, translate supply chain challenges into solution strategies, build prototypes in Lyric Studio, train customer teams, coordinate internal stakeholders, and identify growth opportunities. The role requires deep supply chain expertise, technical fluency in modeling, planning, or AI/ML, strong executive presence, and up to 30% travel.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.

Lead Arondite’s Canadian market expansion from Ottawa by developing defence and public-sector relationships, building partnerships with Canadian primes and technology organizations, qualifying commercial opportunities, and shaping go-to-market strategy. The role combines customer discovery, pipeline development, partnership structuring, pricing, proposals, negotiations, and translating market needs into product and roadmap insights. It requires representing the company with senior government, industry, and partner stakeholders while helping establish Arondite’s long-term Canadian presence.

Leads commercial performance for global and regional eCommerce markets, improving revenue, margin, EBIT, conversion, AOV, demand shaping, customer experience, and retention. Partners with market leaders to diagnose performance, recommend actions, align improvement plans, govern KPI frameworks, and ensure adoption. Leads data storytellers, establishes analytical and measurement standards, develops global playbooks, and influences senior stakeholders across a global matrix organization.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Manage the full CRM marketing lifecycle, including strategy, audience segmentation, campaign build and deployment across email, SMS, and push channels. Optimize lifecycle campaigns through personalization, machine learning, predictive modeling, A/B testing, analytics, and automation. Coordinate with marketing, data, MarTech, product, agencies, and vendors while ensuring campaign quality, performance measurement, and continuous improvement.

Design, engineer, and optimize protein-based biosensors that convert neuronal activity into imaging signals. Build and characterize protein variants using computational design, directed evolution, combinatorial libraries, mammalian expression systems, and high-throughput assays. Collaborate with machine learning, biochemical, structural biology, and computational teams to model sequence-function relationships, develop screening methods, understand biomolecular mechanisms, and advance constructs toward in vivo applications.