Best AI & ML Consultants in Toronto

Toronto Area AI & ML Consulting Services

Toronto isn’t just Canada’s financial capital — it’s one of the fastest-growing AI and machine learning hubs in the world. With world-class research institutions, a strong engineering culture, and startups scaling from King West to the Waterfront, the city has become a global beacon for applied AI innovation.

From predictive analytics powering banks in Bay Street towers, to machine-vision systems improving advanced manufacturing in Etobicoke and Mississauga, to MLOps platforms emerging in Liberty Village — Toronto is quietly engineering the future of automation.

At Digital Reference, our mission is to surface the most capable, ethical, and impact-driven professionals supporting real-world AI across engineering-centric industries.

🧠 Our Methodology - Finding the Best AI Consulting Services in Toronto

To curate this list, our team evaluated Toronto-area AI/ML experts using criteria built for quality and rigor:

📊 Track record of AI delivery & technical execution

💡 Innovation in ML workflows, applications, and deployment

🔍 Transparency, ethics, and explainability in AI adoption

🤝 Collaboration with engineering, data, & business units

🎓 Education, published work, community contributions

🧱 Exposure to enterprise, startups, or industry-focused projects

Unlike automated directories, we manually research every consultant, reviewing public profiles, work history, and technical depth.

🌟 Toronto AI & ML Consultants in Focus

Unranked list — every person brings specialized expertise to Toronto’s AI ecosystem.‍

♦️ Farnoosh Khodakarami

Machine Learning Consultant | Advisor at Beam Data
🔗 LinkedIn

Farnoosh’s work spans applied data science, business analytics, and ML-enabled insights — blending quantitative skills with a practical understanding of real-world use cases. Their profile demonstrates strong technical curiosity and a focus on building efficient data-driven systems.

💡 Highlights:
🚀 Skilled in data analysis, modeling, and machine-learning techniques
📌 Experience supporting analytical workflows for decision-making
📊 Advocates for scalable, ethical use of AI in business settings

‍

♦️ Ravi Rai

Machine Learning Engineer at QML Studios
🔗 LinkedIn

Ravi combines analytical skill with strategic thinking, supporting ML adoption in environments where business alignment matters as much as technical precision. His profile shows balanced experience across data science and decision automation.

💡 Highlights:
🚀 Skilled in translating business needs into ML initiatives
📌 Experience with modern analytics and modeling tools
📊 Focus on outcome-driven AI and cross-functional collaboration

‍

♦️ Amir Samiezadeh

Artificial Intelligence Consultant | Data Scientist at Lemay.ai
🔗 LinkedIn

Amir’s profile reflects a commitment to innovation and precision — working with advanced ML techniques, model experimentation, and applied computation. His approach exemplifies curiosity and rigorous engineering.

💡 Highlights:
🚀 Research-oriented approach to machine-learning systems
📌 Strong technical foundation in model experimentation
📊 Enthusiastic about advanced AI problem-solving

🍁 Toronto’s AI Future — And Digital Reference’s Role

Toronto’s AI economy is only just beginning its ascent, fueled by world-class universities and research hubs, a deep and diverse engineering talent pool, rapid venture investment in AI infrastructure and machine-learning tooling, and accelerating enterprise adoption across finance, manufacturing, healthcare, and technology. Together, these forces are shaping a city where innovation meets real-world application — and the consultants featured here, from emerging practitioners to seasoned machine-learning leaders, represent the heart of Toronto’s AI build culture: practical, engineering-minded, and relentlessly future-focused.

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At Digital Reference, we help organizations navigate emerging talent markets by connecting them with expert-vetted consulting professionals who deliver engineering-focused, real-world impact. Our approach emphasizes trust, ethics, and transparency, ensuring that businesses engage with talent capable of driving meaningful AI and ML outcomes. We publish curated lists to help leaders identify the right professionals for their projects, including AI Consulting Services, Fractional CTO Services, and Cybersecurity & Fractional CISO Services. Toronto’s AI experts aren’t just building models — they’re shaping the future of Canada’s innovation economy, and we’re proud to shine a spotlight on them.