Top Machine Learning Jobs in Toronto

Drive data-informed decisions across carrier growth, product launches, user acquisition, and partnerships. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify scalable growth levers; conduct complex analyses using machine learning models; and automate manual processes to improve operational efficiency.

Leads the full CRM marketing lifecycle, including campaign strategy, audience segmentation, personalization, build, QA, deployment, testing, measurement, and optimization across email, SMS, and push channels. Uses analytics, automation, machine learning, and predictive modeling to improve engagement, conversion, and fan lifetime value. Collaborates with Marketing, Data & Analytics, MarTech, Product Marketing, agencies, and vendors to deliver large-scale campaigns and continuous performance improvements.

The Business Operations Associate will drive data-informed decisions across growth, product, and business initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying profitable acquisition and partnership opportunities, leveraging machine learning models for insights, and automating manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates findings to stakeholders ranging from frontline employees to executives.

Lead data-driven business operations and analytics initiatives across acquisition, partnerships, and product growth. Design and analyze A/B experiments, use machine learning and SQL for complex analyses, identify scalable growth levers, inform strategic decisions, and automate manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates insights from frontline teams to the C-suite.

Drive data-informed decisions across growth, product, and business initiatives. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify acquisition and partnership growth levers; use advanced machine learning models for business analysis; and automate manual processes to improve operational efficiency. Communicate insights and recommendations to stakeholders ranging from frontline employees to executives.

Manages technology risk consulting engagements for global banking clients. Responsibilities include assessing IT general and application controls, evaluating risk exposures, testing controls, developing remediation plans, leading audits and client meetings, managing project economics and teams, mentoring staff, and supporting business development. The role requires strong knowledge of banking regulations, IT control frameworks, technology risk, and executive-level communication.

Conduct fundamental research in video generation, video editing, and 3D computer vision. Develop state-of-the-art AI and computer vision algorithms, create research prototypes, solve real-world problems, publish in leading conferences, integrate innovations into Huawei products, and supervise interns within collaborative R&D projects.

Conduct research and develop state-of-the-art speech and audio AI technologies. Responsibilities include literature reviews, algorithm implementation, data collection and analysis, deep learning and signal processing, and documenting, presenting, and publishing results while collaborating with researchers under supervision.

Develop and maintain software tools and infrastructure supporting machine learning and AI workflows. Build backend services, APIs, automation tools, and integrations; support large-scale experiments, evaluation, and data processing. Debug issues, improve reliability and performance, collaborate with researchers and engineers, gather user feedback, provide technical support, and write clean, tested code.

Conduct research and development in computer vision, machine learning, LLMs, and vision-language models. Develop image and video understanding or generation systems, multimodal reasoning and agentic applications, and optimize models for mobile computing constraints. Responsibilities include prompt engineering, model adaptation, fine-tuning, evaluation, and applied AI research.

As an Intern Researcher, contribute to research on large language model-based agents, focusing on evaluation and autonomous reasoning. Involves formulating problems, conducting experiments, and contributing to publishable work.

Design, optimize, test, and benchmark prompts and agent tool descriptions to improve AI performance. Collaborate with Customer Success and Data Science, automate evaluation and testing, document prompt practices, and research new NLP and model-specific prompting strategies.

Lead technical vision, research, and engineering for a unified computer vision platform. Define long-term research agenda, drive MLOps and deployment across edge/cloud, set performance metrics, manage and scale distributed teams, and translate product needs into scalable, production-ready visual intelligence solutions.

Lead a product portfolio for Clio's core case management experience, utilizing legal expertise to drive innovation and user adoption while simplifying attorney workflows with AI tools.

The AI Product Manager will lead the development of AI-powered applications, collaborating with engineers and designers to align AI technologies with user needs and business objectives.

As an AI Product Manager, you will lead the product development for AI-driven features, collaborating with engineers and designers to optimize user experiences and ensure alignment with business objectives.

Lead and execute IT audits, assess IT risk and compliance (e.g., PCI DSS, PIPEDA), advise business and IT on controls, develop audit plans, report findings to senior management, and help integrate AI into audit practices while managing and mentoring the audit team.

Own the vision, strategy, roadmap, development, adoption, and continuous improvement of eBay’s experimentation platform. Partner with users, design, engineering, and product teams to define requirements, prioritize investments, launch capabilities, and measure outcomes. The role requires expertise in experimentation fundamentals, runtime and triggering, analysis pipelines, and monitoring for bias, novelty, and interference, along with strong strategic, analytical, communication, collaboration, and delivery skills.

Conduct quantitative investment research using Python and MATLAB, applying statistics, machine learning, and optimization to develop systematic strategies. Clean, visualize, and model financial datasets; review and implement research; optimize portfolio tools and infrastructure; present findings; and propose original ideas across asset classes including equities, fixed income, currencies, and commodities.

Conduct quantitative research to develop and test systematic investment strategies across asset classes. Apply statistics, machine learning, optimization, and programming to financial datasets; review and implement research papers; source, clean, visualize, and model data; present findings; propose original ideas; and improve portfolio implementation infrastructure and analytical tools.

Lead and manage financial crimes audit program for high-risk areas, assess internal controls and regulatory compliance, plan audits, perform risk assessments, manage issues, oversee audit teams as Auditor-in-Charge, coordinate with other audit groups, and apply data analytics and emerging technologies to testing and reporting.

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.

Design, develop, and maintain scalable full-stack features for SOTI XSight using C#, .NET, TypeScript, and Angular. Drive architecture, integrate analytics/AI, mentor developers, troubleshoot complex issues, and collaborate with stakeholders to deliver high-quality, cloud-ready solutions.

The Associate Director of Data Sciences drives SOTI's AI and data strategy, develops AI capabilities, and mentors teams to enhance product efficiencies.

Lead and develop a credit risk analyst team while owning underwriting, exposure decisions, portfolio monitoring, loss forecasting, reporting, and provisioning. Partner with Data Science, Risk Analytics, Finance, Product, and Support to build credit risk models, policies, controls, and automated workflows. Establish an AI-native credit risk practice for payments and future lending products, communicate portfolio trends to leadership, and support vendor evaluations and product launches.