Top Machine Learning Jobs in Toronto

Own product-to-field marketing and enablement for Unified Access, SaaS Manager, and multi-product expansion. Develop cross-product narratives, sales materials, training, discovery guidance, and cross-sell strategies for enterprise buyers. Partner with Product, Engineering, Sales, Customer Success, Technical Marketing, and Demo Engineering; support strategic customer opportunities; coach sellers; and use field feedback, win-loss analysis, and customer insights to improve messaging, launches, and product decisions.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.

Leads company-wide data science priorities, KPI frameworks, measurement standards, causal modeling, scenario planning, and agentic analytical automation. Builds reproducible SQL and Python workflows, validates predictive and causal relationships, establishes governed self-service analytics, and partners with Finance, Product, Commercial, Engineering, and Data Engineering. The role drives trusted metric adoption, improves decision speed, mentors scientists, and aligns leadership on targets, trade-offs, uncertainty, and investment decisions.

Leads end-to-end delivery of complex technical programs across ML, MLOps, platform, systems, and solutions engineering teams. Responsibilities include planning, dependency and risk management, Agile process leadership, PMO standards, executive reporting, enterprise deployments, incident follow-up, and cross-functional stakeholder alignment. Requires strong technical fluency, project management expertise, and the ability to drive execution in ambiguous environments.

Grow 1Password’s developer audience through social campaigns, technical content, creator partnerships, community engagement, product launches, and employee advocacy. Create accurate posts and short-form content for X, Reddit, and other channels; coordinate creators, budgets, and deliverables; amplify events; gather developer feedback; and measure engagement, qualified traffic, signups, and product adoption.

Manage paid marketing programs across B2B and B2C funnels for PLG and self-serve products. Responsibilities include planning, launching, optimizing, and reporting on paid channels; evaluating performance data; managing vendors and account partnerships; running experiments; monitoring acquisition, conversion, revenue, and retention metrics; and using AI-enabled workflows to improve campaign execution and insights. The role collaborates closely with Growth, Product Marketing, Analytics, creative, and campaign teams.

Develops market strategy, positioning, messaging, and go-to-market plans for Duck Creek’s Agentic AI Platform and solutions. Leads segmentation, competitive intelligence, launches, sales enablement, thought leadership, analyst and partner engagement, and responsible AI narratives. Partners cross-functionally with product, engineering, sales, legal, security, customer success, and executives to drive adoption, pipeline, differentiation, and measurable business value.

Deploy Fastino language models into customer production environments by building integrations, data pipelines, evaluation systems, and services. Fine-tune and assess models for accuracy, latency, and cost; troubleshoot authentication, networking, GPU performance, inference, and data quality issues. Own technical delivery from initial discussions through launch, create reusable tools and SDK improvements, and relay customer feedback to research and product teams.

Lead B2B performance marketing and demand generation for a sales-led growth strategy. Manage paid channels, optimize budgets and ROI, run experiments, analyze funnel and revenue metrics, and partner with campaign, analytics, marketing operations, and external vendor teams. The role focuses on generating qualified pipeline and revenue among enterprise and mid-market technical audiences.

Leads enterprise data design and governance across insurance domains, defining conceptual, logical, and physical models, data standards, contracts, metadata, lineage, and privacy controls. Partners with business, architecture, engineering, analytics, and AI teams to deliver scalable data solutions across warehouses, lakes, APIs, and operational platforms. Applies Property and Casualty insurance expertise and ACORD standards while guiding migration, modernization, AI-ready data, model lifecycle management, observability, and cross-domain governance.

Manages strategy, discovery, roadmap development, prioritization, delivery, adoption, and continuous improvement for an AI-enabled digital workflow product. Translates customer and business needs into product capabilities, collaborates with UX, engineering, data, and AI teams, defines requirements and success metrics, validates concepts, supports launches, and drives measurable user and business outcomes.

Own end-to-end strategy, roadmap, discovery, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Lead 0-to-1 launches with engineering, design, and go-to-market teams; establish experimentation, evaluation, and engagement programs; incorporate customer and partner feedback; manage AI quality and trust; and communicate product decisions and results to executives and field teams.

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 end-to-end product design for Clio’s fintech and billing experiences, from discovery and prototyping through launch and iteration. Partners with Product, Engineering, and customers to create accessible, high-quality workflows, improve design systems, and deliver trustworthy AI-powered features. The role requires strong interaction, information architecture, usability, visual design, communication, and mentoring skills, with a focus on measurable customer and business outcomes.

Leads complex actuarial and strategic analytics initiatives in Personal Insurance pricing. Uses actuarial techniques, predictive modeling, statistical methods, and large datasets to identify opportunities, assess risks, improve pricing, and inform business strategy. Partners cross-functionally with pricing, underwriting, claims, distribution, and data science teams; presents recommendations to senior leaders; mentors junior staff; and drives innovative analytical solutions from problem definition through implementation.

Leads the technology vision, architecture, and engineering practices for enterprise data platforms, pipelines, integrations, and analytics solutions. Provides hands-on technical leadership across multiple teams, drives CI/CD, automation, testing, governance, modernization, and scalable data architecture. Integrates machine learning capabilities, translates business strategy into technical roadmaps, resolves complex data challenges, collaborates with stakeholders, and mentors engineering teams. Requires strong expertise in GCP, Databricks, Python, SQL, cloud and big data technologies, ETL/ELT, and data modeling.

Research Engineer developing human-robot interaction systems for consumer robots. The role spans robotics research and hands-on engineering across motion, perception, sensing, actuation, thermals, inference, firmware, hardware, datasets, and evaluation. Responsibilities include inventing and testing novel approaches, building real hardware and ML systems, deploying reliable low-latency solutions on edge devices, and documenting reproducible results. Candidates should demonstrate self-directed projects, end-to-end artifacts, hardware experience, ML deployment, and cross-layer technical adaptability.

Own the vision, roadmap, execution, and quality measurement for Clio’s AI Search platform. Lead engineering and ML teams developing hybrid lexical and semantic search across documents, emails, and records. Improve relevance through ranking, query understanding, embeddings, A/B testing, click-through analysis, and offline evaluations. Coordinate across Clio products while balancing relevance, latency, cost, permissions, and customer AI preferences. Translate customer search needs into measurable product improvements and guide both new product development and platform scaling.

Leads and develops a Data Science team while managing enterprise analytics, machine learning, predictive modeling, statistical analysis, and Generative AI initiatives. Partners with business and technology stakeholders to deliver actionable insights across commercial, supply chain, manufacturing, and other functions. Oversees AI architecture, cloud platforms, data pipelines, model validation, LLMOps, governance, compliance, monitoring, and production deployment while mentoring team members and communicating business impact to executives.

Develop marketing mix and econometric models to measure channel effectiveness, ROI, marginal returns, and budget optimization. Manage data preparation, ETL pipelines, statistical modeling, forecasting, machine learning, scenario simulations, and incrementality testing. Translate complex findings into actionable recommendations and communicate insights to technical and non-technical clients. Collaborate with project leads and stakeholders while managing timelines, deliverables, and expectations.

Design, build, deploy, and operate reliable software, APIs, services, data pipelines, and cloud applications. Apply AI and machine learning to business workflows, develop prototypes, evaluate technical approaches, and measure software and model performance. Lead complex technical projects, make architecture tradeoffs, maintain production systems, improve reliability, and mentor engineers while collaborating with data scientists and business stakeholders.

Develop marketing mix and econometric attribution models for advertising clients. Responsibilities include data preparation, ETL automation, statistical and machine learning modeling, scenario analysis, incrementality testing, budget optimization, and model validation. The role translates analytical findings into strategic recommendations and communicates insights through visualizations and presentations to technical and non-technical stakeholders.

Lead media innovation and AI strategy for Mazda within the WPP Open ecosystem. Develop strategic narratives, high-level technology solution designs, and client value propositions. Serve as a trusted advisor on data, audience, media, and AI initiatives; coordinate cross-functional teams, identify and escalate issues, demonstrate ROI, and provide thought leadership on data-driven marketing and emerging AI solutions.

Intern supports SAP Sustainability go-to-market initiatives through digital outreach campaigns, AI-powered content creation, market and data synthesis, thought leadership, sales communications, reporting, and GTM asset organization. The role involves coordinating multiple workstreams, presenting ideas, collaborating with global sales and sustainability teams, and contributing to project delivery in a hybrid Toronto environment.

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.