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Machine Learning Jobs in Ottawa, ON (NOW HIRING)

Nokia

Optical Test Automation Co-op/Intern

Kanata, ON · On-site

Knowledge of Machine Learning and Neural Network concepts. * Coursework or project experience in Fiber Optics, Optoelectronic Devices, Quantum Electronics, Machine Learning, or Neural Networks.

New

Tomlinson

AI Specialist

Nepean, ON · On-site

Collect, clean, and transform structured and unstructured data to support generative AI, retrieval, and machine learning workloads * Develop and maintain the data models and pipelines that feed AI ...

YO AI Labs

Mental Health Expert - Remote

Ottawa, ON · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Ranovus

Optical Engineer

Kanata, ON · On-site

Social networking, machine learning, and big data analytics demand ever-increasing network connectivity. RANOVUS, with operations in Ottawa, Canada, Nuremberg, Germany, and San Jose, USA, is a ...

Ranovus

Optical Engineer

Kanata, ON · On-site

Social networking, machine learning, and big data analytics demand ever-increasing network connectivity. RANOVUS, with operations in Ottawa, Canada, Nuremberg, Germany, and San Jose, USA, is a ...

Larus Technologies

Software Engineer

Ottawa, ON · On-site

Learning and development opportunities. About Larus Based in Ottawa, Canada, Larus Technologies ( is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data ...

Fullscript

AI Enablement Specialist

Ottawa, ON · On-site

You will not be expected to build machine learning models or act as a full-time trainer. You should, however, be hands-on and credible with modern AI tools, curious about how people learn, and ...

Ericsson

Principal Developer

Ottawa, ON

... machine learning methodologies including reinforcement learning, federated learning, generative AI, and LLMs Proven experience in Agile development environments Hands-on experience with ...

Kyndryl

Senior Microsoft Technology Advisor

Ottawa, ON · On-site

Stay ahead of emerging Azure technologies, including AI, machine learning, and intelligent automation. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Ottawa, ON

Machine Learning information

See Ottawa, ON salary details

$102.9K

$150.2K

$186.7K

How much do machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning in Ottawa, ON is $150,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,887.00 and $178,616.00 per year, depending on experience, location, and employer.

What is a machine learning?

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 are the 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 are the key skills and qualifications needed to thrive in a machine learning position?

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.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

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 positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Ottawa, ON?

The most popular types of Machine Learning jobs in Ottawa, ON are:

What are popular job titles related to Machine Learning jobs in Ottawa, ON?

For Machine Learning jobs in Ottawa, ON, the most frequently searched job titles are:

What cities near Ottawa, ON are hiring for Machine Learning jobs?

Cities near Ottawa, ON with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Ottawa, ON as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $150,205 per year, or $72.2 per hour.

Optical Test Automation Co-op/Intern

Nokia

Kanata, ON • On-site

Full-time

Posted 2 days ago

New

Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

30th of 101 rated telecommunications companies

Job description

Position: Optical Test Automation Co-op/Intern
Number of Position(s): 1
Duration: 8-12 Months
Date: Winter 2027 (Starting January 4th)
Location: Onsite, Ottawa, Ontario, CANADA

EDUCATIONAL RECOMMENDATIONS

Currently a candidate for a Bachelor's degree or College Diploma in Electronic and Communication Engineering, Physics, Photonics, Electrical Engineering, or a related field with an accredited institution.
 

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we're advancing connectivity to secure a brighter world. 

Learn more about life at Nokia.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. 

Some of our benefits for students in Canada:
  • Flexible and hybrid working schemes to balance work and life
  • Professional development events and networking opportunities
  • Campus perks designed to make your student experience enjoyable and social, such as access to an onsite cafeteria, free employee parking, complimentary fitness centre, and sports facilities (volleyball, basketball, pickleball courts, ping pong, and employee leagues)
  • Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
  • Opportunities to join Nokia Employee Resource Groups (NERGs) and connect with people who share your passions and values
  • Employee Growth Solutions, mentorship programs, and coaching support for your career development
  • A learning environment that fosters both personal growth and professional development - for your role and beyond

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

You Must Have:

  • Basic understanding of fiber optics and optical fiber communication technologies.
    Programming experience with Python.
  • Exposure to laboratory environments involving fiber optics, photonics, or optical communications.
  • Understanding of automation concepts and Python-based development.
  • Strong communication skills with the ability to present technical information effectively.
  • Ability to work collaboratively in a team environment.

  • Self-motivated and proactive approach to learning and problem-solving.

    It Would Be Nice If You Also Had:

  • Knowledge of Machine Learning and Neural Network concepts.
  • Coursework or project experience in Fiber Optics, Optoelectronic Devices, Quantum Electronics, Machine Learning, or Neural Networks.
  • Familiarity with predictive data analysis techniques.
  • Experience with automated data cleanup and analytics frameworks.
  • Exposure to AI tools and technologies used for engineering analysis and automation.
  • Experience working with optical communication systems, testing environments, or related laboratory equipment.

What you will do:

  • Support optical system verification testing activities for Nokia networking solutions.
  • Maintain and enhance optical testbeds to support testing requirements and project objectives.
  • Execute test plans and document results for system validation activities.
  • Develop and maintain Python-based automation tools for test execution, data collection, and reporting.
  • Automate data extraction, cleansing, and analysis processes to improve test efficiency.
  • Utilize AI-powered tools to support prediction, analysis, and classification of test results.
  • Work with IQNOS and GX line system platforms and various optical laboratory instruments.
  • Analyze test outcomes and prepare presentations and technical summaries to communicate findings.
  • Collaborate with team members to troubleshoot issues and support continuous improvement initiatives.

What Nokia employees say

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