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Machine Learning Consultant Jobs in Ontario (NOW HIRING)

BDO Canada

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and excellent communication and client management skills. Compensation The ...

New

BDO Canada

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

BDO Canada

Senior Machine Learning Engineer

London, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Consulting experience and someone with excellent communication and client management skills The ...

Autodesk

Job Requisition ID # 26WD98709 Senior Software Engineer - Machine Learning Fusion - Collaborative ... Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply ...

KPMG

Senior Consultant - AI Governance

Toronto, ON

Support our Risk Consulting teams (Governance, Risk & Compliance Services, Technology Risk Services ... Understanding of machine learning algorithms and their implications for risk, including supervised ...

ALS

Geodata Scientist

Waterloo, ON · Remote

Execute mineral exploration and geoscience consulting projects using machine learning, statistical analysis, and spatial data integration techniques to support exploration in 2D and 3D. * Effective ...

Litera

Legal Product Consultant

Toronto, ON

CA$110K - CA$138K/yr

Why this Role Matters We are seeking a Legal Product Consultant to join our Legal Knowledge ... Experiment with and test generative AI and machine learning technologies to enhance product ...

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All JobsMachine Learning Consultant JobsMachine Learning Consultant Jobs in Ontario

Machine Learning Consultant information

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How much do machine learning consultant jobs pay per hour?

As of Jul 29, 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 does a machine learning consultant do?

A machine learning consultant designs, develops, and implements machine learning models to solve business problems. They analyze data, select appropriate algorithms, and use tools like Python or R to create predictive systems, often working closely with data scientists and engineers. Their role involves understanding client needs, optimizing models, and ensuring deployment and performance of machine learning solutions.

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

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.

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 with advanced tools like Python, TensorFlow, or cloud platforms.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is evolving with advancements in AI, but human expertise remains critical for innovation, troubleshooting, and ethical considerations.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools and frameworks, and they usually require advanced degrees and certifications. Compensation at this level reflects significant responsibility and impact within organizations focused on AI development and deployment.

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.

What are popular job titles related to Machine Learning Consultant jobs in Ontario? For Machine Learning Consultant jobs in Ontario, the most frequently searched job titles are:
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:
Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in Ontario as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 85% Full Time, 9% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,629 per year, or $60.4 per hour.
Machine Learning Engineer (Canada)

Machine Learning Engineer (Canada)

Tiger Analytics Inc.

Toronto, ON

Full-time

Posted 13 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
  • Creating Scalable Machine Learning systems that are highly performant
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

  • Bachelor's degree or higher in computer science or related, with 5+ years of work experience
  • Ability to collaborate with Data Engineers and Data Scientist to build data and model pipelines and help running machine learning tests and experiments
  • Ability to manage the infrastructure and data pipelines needed to bring ML solution to production
  • End-to-end understanding of applications being created and maintain scalable machine learning solutions in production
  • Ability to abstract complexity of production for machine learning using containers
  • Ability to troubleshoot production machine learning model issues, including recommendations for retrain, revalidate, and improvements
  • Experience with Big Data Projects using multiple types of structured and unstructured data
  • Ability to work with a global team, playing a key role in communicating problem context to the remote teams
  • Excellent communication and teamwork skills

Additional Skills Required:

  • Python, Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
  • Test-driven development (prefer py. test/nose), experience with Cloud environments
  • Proficiency in statistical tools, relational databases, and expertise in programming language like python/SQL is desired.

Good to have:

  • Knowledge of ML frameworks like Scikitlearn, Tensorflow, Keras, etc.
  • Knowledge of MLflow, Airflow, Kubernetes
  • Knowledge on any of the cloud-native MLaaS offerings like AWS SageMaker, AzureML, or Google AI platform

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Apply