ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Ottawa, ON (NOW HIRING)

Nokia

Data Science Co-op/Intern

Kanata, ON · Hybrid

Interest and experience with Machine Learning and AI. * Experience with data ingestion into a tool such as Splunk or Elastic. * Experience with Git and/or Mercurial. * Proficient with Visual Studio ...

Ciena

Resourcing and Enablement Intern

Ottawa, ON · On-site

CA$20.50 - CA$27.50/hr

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Ottawa, ON

Machine Learning Intern information

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are popular job titles related to Machine Learning Intern jobs in Ottawa, ON? For Machine Learning Intern jobs in Ottawa, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Ottawa, ON look for? The top searched job categories for Machine Learning Intern jobs in Ottawa, ON are:
What cities near Ottawa, ON are hiring for Machine Learning Intern jobs? Cities near Ottawa, ON with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Ottawa, ON as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 48% Full Time, 37% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Data Science Co-op/Intern

Data Science Co-op/Intern

Nokia

Kanata, ON • Hybrid

Full-time

Posted 12 days ago

Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

31st of 96 rated telecommunications companies

Job description

Number of Position(s): 3
Duration: 4 Months 
Date: September 8 to December 18, 2026
Location: Hybrid in Ottawa

  • Currently a candidate for a bachelor's degree or diploma in Computer Science, Electrical Engineering, or a related field with an accredited school in Canada.
  • Interest in software development, ideally having worked with one or more: PHP, Javascript, Python, MySQL, VueJS, ElectronJS, Selenium, VMware, AWS.
  • Creative and motivated self-learner ready for a challenge to advance your career to the next level.


It would be nice if you also had:

  • Data science training or experience with big data analysis and visualization.
  • Interest and experience with Machine Learning and AI.
  • Experience with data ingestion into a tool such as Splunk or Elastic.
  • Experience with Git and/or Mercurial.
  • Proficient with Visual Studio and/or Eclipse.

Working within a multi-site Agile Test Automation team, this candidate will design and develop automation infrastructure and tool enhancements to maximize the effectiveness and productivity of the feature teams and test teams in their automated test development, execution, and analysis activities.
As part of the team, you will:

  • Work on the development of big data analysis and visualization use cases within Splunk, which may include the application of AI/ML.
  • Develop web-based database applications using technologies such as PhP, Javascript, VueJS, Python & MySQL.
  • Develop Linux and Windows Applications using Python, VueJS, and ElectronJS.
  • Develop Object Oriented library using Python and Selenium to interface with the Optical equipment under test.

What Nokia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply