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Machine Learning Consultant Jobs in Ontario (NOW HIRING)

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

Develops prediction systems and machine learning algorithms. Investigates additional technologies ... Provides specialized consulting, analytical and technical support. * Exercises judgment to identify ...

Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer ...

Management Consulting & SI Experience is strongly preferred. * Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks such as TensorFlow, CUDA, ONNX ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Delivery Engineer - Canada

Toronto, ON · On-site

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Provide strong solution and consulting services. * Take the project management role to ensure the ...

As the Consultant, Data and AI Scientist, you will not only analyze data but also build intelligent ... You will apply statistical techniques and machine learning models for predictive and prescriptive ...

Showing results 41-60

Machine Learning Consultant information

See Ontario salary details

$11

$60

$100

How much do machine learning consultant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning consultant in Ontario is $60.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $83.17 per hour, depending on experience, location, and employer.

What does a machine learning consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What are the key skills and qualifications needed to thrive as a machine learning consultant?

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

What does a typical project look like for a machine learning consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

How much does a machine learning consultant make?

A machine learning consultant's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior consultants with specialized skills in data modeling and programming can earn higher salaries, especially when working on complex projects or with advanced tools like Python and TensorFlow.

What job categories do people searching Machine Learning Consultant jobs in Ontario look for?

The top searched job categories for Machine Learning Consultant jobs in Ontario are:

Infographic showing various Machine Learning Consultant job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,629 per year, or $60.4 per hour.

Technical Project Manager - Client Service Delivery

DataVisor

Toronto, ON • On-site

CA$120K - CA$170K/yr

Full-time

Medical, PTO

Re-posted 25 days ago


Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:
We are seeking a highly skilled technical Project Manager to join the client service team. On one hand this is a client-facing service delivery manger role. The ideal candidate will be managing all client communications and driving overall delivery schedule, be responsible for designing and implementing innovative integration solutions that meet our client's technical and business requirements. This role involves working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. On another hand, this is a technical delivery role. The candidate will be responsible for driving and managing all engineering threads in order to deliver the project, and conduct technical hands-on work as needed. This is also a technical hands-on role.

Key Responsibilities:

  • Manage and drive client communications throughout the entire delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a technical Project Manager or in a similar technical role.
  • Strong understanding of software development, system architecture, and integration principles. Strong solutioning skills on Saas platform data integration.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong client-facing communication skills and consultant/client management capabilities.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • Creative problem-solving skills and a results-oriented mindset.
  • Knowing auti-fraud in the Financial or internet industry will be a plus.
  • Experience in real-time computing, big data, or machine learning will be a plus.

Benefits

Health Insurance, PTO

The expected base salary range for this role is CAD $120,000 - $170,000 per year, depending on experience, skills, and location. This position may also be eligible for bonus, equity, and benefits.