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Director Machine Learning Jobs in Ontario (NOW HIRING)

Capital One

Director, Data Science

Toronto, ON · Hybrid

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Director, Data Science About Capital One ... Lead the architecture and development of machine learning models through all phases of development ...

Manifold Bio

CA$140K - CA$225K/yr

Position Manifold Bio is seeking an exceptional Machine Learning Scientist to lead research ... Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques

Td

Technical Product Owner

Toronto, ON

CA$130K - CA$200K/yr

Own machine learning products from vision to backlog; prioritizing features and defining minimum ... Self-direct, with the ability to identify meaningful work in down times and effectively prioritize ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Forhyre

AI Cloud Solutions Director

Toronto, ON · On-site

AI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider ... Deep understanding of AI technologies, such as machine learning, natural language processing, and ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto ...

University of Toronto

Lead Hand Machinist

Toronto, ON · On-site

... Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our ... Demonstrated ability to motivate, develop and direct the work of staff in a unionized environment.

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Director Machine Learning information

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Ontario? The most popular types of Machine Learning jobs in Ontario are:
What are popular job titles related to Director Machine Learning jobs in Ontario? For Director Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Ontario look for? The top searched job categories for Director Machine Learning jobs in Ontario are:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Ontario as of June 2026, with employment types broken down into 60% Full Time, 30% Part Time, 8% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Director, Product Engineering

Starcom Mediavest Group Germany Gmbh

Toronto, ON

Full-time

Posted 12 days ago

Job description

Company Description 

Publicis Groupe Canada is the Canadian subsidiary of Publicis Groupe, the second largest communications group in the world and a global leader concentrated within four main activities: Communication, Media, Data and Technology. Publicis Groupe Canada represents the vision of a set of collaborative and integrated agencies that offer expertise and insightful services to many of the biggest brands in North America.

Publicis Groupe Canada is committed to its Diversity, Equity and Inclusion mandate which focuses on four pillars: Education, Talent Management, Outreach and Giving Back. Since the mandate's launch in 2020, they have made strong and continued growth in all their pillars including top-tier mental health benefits, regular education sessions for employees, six business resources groups for employees of various backgrounds and their allies and developing training and scholarships programs with POV and the Miami Ad School Canada. The Groupe also launched This Is The Job, an initiative designed to work with Canada's largest school boards to change the complexion of the marketing industry and inspire racialized teens and young adults to consider a career in the industry.

Canadian brands include: Publicis Canada (Publicis Canada, Hawkeye, Razorfish, Publicis Health, ThePubProductions, Nurun, Publicis Sports & Entertainment), Publicis Media (Starcom, Spark Foundry, Zenith), Leo Burnett (Leo Burnett Canada, Ove Brand Design, Leo Burnett Design), Saatchi & Saatchi (Saatchi & Saatchi Canada, Synergize, TPM),MSL Canada/North Strategic (North Strategic, MSL Canada, Notch Canada) and Publicis Sapient.

Job Description

As Director of Product Engineering, you will lead the strategic development and execution of AI-powered products and solutions across the agency. This role is responsible for overseeing the full product development lifecycle-from ideation to deployment-while managing a high-performing team of engineers and collaborating with cross-functional leaders. You will drive innovation, operational efficiency, and measurable business impact by integrating artificial intelligence, machine learning, and automation into core agency workflows. 

You will also oversee the integration of applied data science and machine learning into our product ecosystem. In partnership with AI Product Engineers, Product Managers, and research teams, you will guide the development of predictive models, automation frameworks, and intelligence tools that enhance audience targeting, media performance, and creative optimization. Your leadership will be instrumental in shaping the agency's innovation roadmap and delivering transformative value to clients.

Responsibilities

Leadership & Strategy 

  • Define and execute the product engineering vision aligned with agency goals and client needs. 
  • Lead and mentor a team of product engineers, fostering a culture of innovation, accountability, and continuous learning. 
  • Oversee the roadmap, prioritization, and delivery of AI-driven products and enhancements. 
  • Collaborate with executive leadership to align product strategy with business objectives and market trends. 
  • Champion responsible AI practices across all initiatives, ensuring ethical standards, data privacy, and compliance. 

Product Oversight 

  • Direct the design, development, and deployment of scalable AI solutions that enhance agency capabilities. 
  • Own the end-to-end product lifecycle, including architecture, testing, release management, and performance optimization. 
  • Evaluate and implement emerging technologies to maintain a competitive edge in AI and automation. 

Cross-Functional Collaboration 

  • Partner with Data Science, Martech, and Client Services to identify opportunities for AI integration and workflow automation. 
  • Translate complex business challenges into actionable technical strategies and product features. 
  • Present product vision, progress, and impact to internal stakeholders and clients in a clear, compelling manner. 

Operational Excellence 

  • Establish and enforce engineering best practices, development standards, and quality assurance protocols. 
  • Monitor team performance, resource allocation, and delivery timelines to ensure efficiency and scalability. 
  • Audit existing workflows and recommend AI-driven enhancements to improve productivity and outcomes. 

Agency Collaboration & Impact 

  • Lead strategic partnerships with Research, Martech, and Data Intelligence teams to drive innovation. 
  • Support planning and leadership teams with AI-driven insights and technical guidance. 
  • Represent Product Engineering in cross-functional initiatives, workshops, and client engagements. 
  • Promote a collaborative, inclusive culture through mentorship, thought leadership, and knowledge sharing. 
Qualifications
  • 8+ years of experience in product engineering, AI/ML development, or related fields. 
  • 4+ years in a leadership role managing engineering teams and product development. 
  • Proven track record of delivering enterprise-grade AI solutions and managing cross-functional teams. 
  • Expertise in Python, R, and machine learning framaeworks (TensorFlow, PyTorch, Scikit-learn). 
  • Strong understanding of cloud platforms (AWS, Azure, GCP), data engineering, and model deployment. 
  • Experience with data visualization tools (Tableau, Power BI, Datorama) and workflow orchestration. 
  • Exceptional communication skills with the ability to influence senior stakeholders and clients. 
  • Deep knowledge of responsible AI principles, including ethics, bias mitigation, and data governance. 
Additional Information

Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply. If you require a specific accommodation please contact Human Resources at 416-925-7733 or by email at inquiries@publicisna.com

We're committed to building a diverse and inclusive workplace. Accommodations are available throughout the hiring process upon request. Salary Transparency matters to us. The salary range for this position is $110,000 to $120,000 CDN per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.   

AI Use

We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Employment Type: FULL_TIME

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