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Machine Learning Jobs in Ontario (NOW HIRING)

Priceline

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 ...

Redhat

Machine Learning Engineer

Toronto, ON · On-site +1

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

Autodesk

Machine Learning Ops Developer

Toronto, ON · On-site

This role is pivotal in ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform used in the development of machine learning ...

Hays

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 ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

BDO Canada

Senior Machine Learning Engineer

London, ON

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

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All JobsMachine Learning JobsMachine Learning Jobs in Ontario

Machine Learning information

See Ontario salary details

$108K

$157.7K

$196K

How much do machine learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning in Ontario is $157,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $187,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
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 Machine Learning jobs in Ontario? For Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Ontario look for? The top searched job categories for Machine Learning jobs in Ontario are:
What cities in Ontario are hiring for Machine Learning jobs? Cities in Ontario with the most Machine Learning job openings:
Machine Learning jobs near you
FPGA Machine Learning Engineering - Graduate Intern

FPGA Machine Learning Engineering - Graduate Intern

Altera

Toronto, ON

CA$95K - CA$100K/yr

Full-time

Posted 16 days ago

Job description

Job Details:Job Description:

We are seeking a talented and motivatedFPGA Machine Learning Engineering Graduate Internto join our dynamic team. Our mission is to develop innovative IP blocks and hardware solutions that enable customers to accelerate machine learning workloads on Altera FPGAs. As an intern, you will contribute to the development and evaluation of quantization schemes optimized for our hardware, empowering customers to achieve optimal performance and efficiency when deploying ML models on FPGAs.


You will gain hands-on experience with the FPGA AI Suite, including both hardware and software stacks, and work closely with senior engineers to analyze, design, and implement enhancements that improve the performance of ML workloads on Altera FPGAs.This is an exciting opportunity to innovate at the intersection of hardware and machine learning in a collaborative and creative

environment.

Our compensation is designed to reflect the Canadian labourmarket. The actual salary offered may vary based on several factors, including the position's location, as well as the candidate's experience, skills, training, and job-specific knowledge. In addition to base salary, we offer performance-based incentive opportunities that reward both individual contributions and overall company success.

Estimated Salary Range: $95K - $100K CAD

We use artificial intelligence to screen, assess, or select applicants for the position. This posting is for an existing vacancy. Canadian work experience is not required for this role.

Qualifications:

Required Qualifications

  • Currently pursuing a Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

  • Solid understanding of digital hardware concepts (e.g., dataflow, pipelining, memory hierarchies).

  • Foundational knowledge of machine learning algorithms, especially quantization techniques and their hardware implications.

  • Experience with at least one of the following:

    • FPGA design (using Verilog, VHDL, or High-Level Synthesis tools)

    • Proficiency in C/C++, Python, or similar programming languages.

  • Strong analytical and problem-solving skills.

  • Ability to work effectively in a collaborative team environment.

  • Excellent verbal and written communication skills.

Preferred Qualifications

  • Experience with ML model deployment or inference on FPGA platforms.

  • Exposure to Altera FPGAs or similar architectures.

  • Knowledge of popular ML frameworks (e.g., TensorFlow, PyTorch) and their quantization workflows.

Job Type: Student / Intern (Fixed Term)Shift:Shift 1 (Canada)Primary Location:Toronto, Ontario, CanadaAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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