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Senior Machine Learning Jobs in Ontario (NOW HIRING)

Senior Machine Learning Engineer Hourly Rat e: 80-100/hr Location : Remote Length : 6 month contract (long term potential) Your New Company Our client is a fast-paced, product-led business building ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Senior Machine Learning Engineer

Ottawa, ON · On-site

CA$84K - CA$128K/yr

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Senior Machine Learning Engineer

London, ON · On-site

CA$84K - CA$128K/yr

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Senior Machine Learning Developer

Toronto, ON · Hybrid

CA$155K - CA$180K/yr

Machine Learning Developer The Search Platform at Priceline is the intelligence layer behind how millions of travelers discover and book hotels, flights, rental cars, and packages every day. It ...

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Senior Machine Learning information

See Ontario salary details

$25.5K

$141.4K

$229K

How much do senior machine learning jobs pay per year?

As of Jun 16, 2026, the average yearly pay for senior machine learning in Ontario is $141,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $179,500.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
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 Senior Machine Learning jobs in Ontario? For Senior Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in Ontario look for? The top searched job categories for Senior Machine Learning jobs in Ontario are:
Sr Machine Learning Engineer

Sr Machine Learning Engineer

Hays

Remote

Other

Posted 18 days ago


Job description

Role: Senior Machine Learning Engineer

Hourly Rate: 80-100/hr

Location: Remote

Length: 6 month contract (long term potential)


Your New Company

Our client is a fast-paced, product-led business building advanced machine learning capabilities to drive smarter customer targeting, stronger forecasting, and better advertising performance. You’ll join a team working on meaningful ML use cases with clear commercial impact, in an environment that values experimentation, hands-on delivery, and scalable engineering practices.


Your New Role

As the Senior Machine Learning Engineer, you will design, build, and optimize machine learning solutions across a number of high-value use cases. The role has a strong focus on time series forecasting, optimization, look-alike audience creation, ML models for ad relevancy, and click-through-rate (CTR) modeling. You’ll work closely with cross-functional stakeholders to productionize models, improve performance, and help shape scalable ML workflows in a cloud-based environment.


What You’ll Need to Succeed

To be considered, you’ll need strong hands-on experience as a Machine Learning Engineer with deep exposure to time series forecasting and applied ML in production settings. You should bring experience working in GCP or another cloud environment, ideally with exposure to Vertex AI. The team is also looking for someone with general knowledge of LLMs and FastAPI, along with strong programming ability in Python, Go, and SQL. Experience applying ML to advertising, audience modeling, relevance, ranking, or optimization problems will be highly valued.


What You’ll Get in Return

In return, you’ll have the chance to work on impactful ML initiatives in a high-visibility role where your work will directly influence product and business performance. You’ll join a collaborative environment that values strong engineering, practical ML application, and innovation across modern cloud and AI tooling.


What You Need to Do Now

If you’re a senior-level ML Engineer with strong forecasting experience and a track record of delivering production ML solutions, apply now or reach out directly for a confidential discussion.