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Machine Learning Developer Intern Jobs in Ottawa, ON

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON

CA$84K - CA$128K/yr

... machine learning pipelines using Azure and Databricks. The successful candidate will also lead ... Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions. * Ensure operational ...

Serve Robotics

Lead Machine Learning Engineer

Ottawa, ON · Remote

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Fullscript

Staff, Machine Learning Engineer

Ottawa, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI ...

Kinaxis Inc.

Co-op/Intern Developer, AI Solutions

Kanata, ON · Hybrid

CA$27.04 - CA$39.66/hr

What you will do As an intern ML developer, you are passionate about shipping large-scale software ... Experience with Machine Learning Solutions and productization. * Strong customer orientation and ...

Kinaxis Inc.

Co-op/Intern Developer, AI Solutions

Kanata, ON · Hybrid

CA$27.04 - CA$39.66/hr

What you will do As an intern ML developer, you are passionate about shipping large-scale software ... Experience with Machine Learning Solutions and productization. * Strong customer orientation and ...

NavitasPartners

ML Engineer (BFSI) - MLEBAS

Hamilton, ON · On-site

CA$30/hr

Machine Learning Engineer Position Overview: The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and ...

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Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Ottawa, ON are hiring for Machine Learning Developer Intern jobs? Cities near Ottawa, ON with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you

Co-op/Intern Developer, Machine Learning

Kinaxis Inc.

Kanata, ON • Hybrid

CA$27.04 - CA$39.66/hr

Internship

PTO

Posted 6 days ago

Job description

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.


About the team

Making new supply chain planning solutions possible with Machine Learning is what our fast-growing team of developers is all about.  We build creative solutions that solve real business problems for our Maestro users without the need for them to become Machine Learning experts.

 We are looking for a talented candidate to join our development team for a placement.  It’s an opportunity for you to get real hands-on experience with Machine Learning software development and all the components needed to deploy it into a production system.


Location

This is a hybrid position. You must be in the Ottawa or Toronto office, at least three days a week.

Term Duration

This is a full-time, 4, or 8-month position, starting September 2026.

Co-op / Intern Eligibility

This position is open to co-ops and interns. To be eligible, you must be currently enrolled in full-time education or be a recent/upcoming graduate within 12 months of the placement end date.

Compensation range

$27.04 - $39.66hourly rate. The final offer within this range will reflect the candidate’s skills, year of education, and experience.

Vacancy Status

This is an existing job vacancy.

What you will do

  • As a Co-op/Intern on the ML team you will be treated like a full-time developer and get to work on everything from tech selection to production code on our latest projects
  • You will be working with a mentor from whom you can learn and who will provide support and guidance
  • Your projects may include development of new product ideas as well as demos to executives and patent applications
  • You will have access to the training that you need and start to make an impact within a few weeks of joining the team
  • You will write Python code for microservice architectures
  • You will work with senior engineers on developing and enhancing software solutions for real-world Big Data and AI/ML applications.
  • You will participate in agile processes such as sprint planning, huddles, pair programming and retrospectives, collaborating with cross-functional teams to deliver high-quality solutions.
  • May perform additional projects upon request

What we are looking for

  • You are curious and passionate about applying Machine Learning to solve real problems
  • You’re always learning, trying out new ideas and experimenting with technology
  • You have prior working experience with Python through work, internships, or hands-on projects.
  • You love to work in a team to learn from and to teach others
  • You like to develop new technology, business and people skills and you always welcome a challenge
  • You have some hands-on experience with ML through work terms or hackathons, competitions, etc.
  • You’ve completed 3+ year in a Computer Science or Engineering program

Things that would definitely help

  • Azure, Google Cloud Platform (GCP)
  • Databricks, Unity Catalog
  • Kubernetes, Docker, PyTorch, sklearn

We’re accepting applications now through end of day on Friday, June 12, 2026. Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged.

#Coop, #Internship, #Intern, #LI-EN1


Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

  • Flexible vacation and Kinaxis Days (company-wide days off)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

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