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Machine Learning Developer Intern Jobs in Ottawa, ON

Incubation Developer Coop/Intern Number of Position(s): 1 Duration : 4 Months Date: Sept- December ... A learning environment that fosters both personal growth and professional development - for your ...

Incubation Developer Coop/Intern Number of Position(s): 1 Duration : 4 Months Date: August ... A learning environment that fosters both personal growth and professional development - for your ...

Web Developer - Co-op/Intern Number of Position(s): 1 Duration: 4 Months Date: (Fall Term Sept ... A learning environment that fosters both personal growth and professional development - for your ...

Strong programming (Java, Perl, XML, JS) and problem-solving skills. * Ability to learn quickly and ... Linux operating environment, Windows, Virtual Machines As a part of our team, you will:

Strong programming (Java, Perl, XML, JS) and problem-solving skills. * Ability to learn quickly and ... Linux operating environment, Windows, Virtual Machines Development of scripts or applications (XML ...

Strong programming skills (Python, Java,JavaScript) * Familiarity with automation frameworks (Mocha ... UNIX operating environment (RHEL), Windows, Virtual Machines It would be nice if you also had:

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

A learning environment that fosters both personal growth and professional development - for your ... Experience and knowledge of programming languages (C/C++, TCL, Python, Perl) * Knowledge and hands ...

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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:
Incubation Developer Coop/Intern

Incubation Developer Coop/Intern

Nokia

Kanata, ON • Hybrid

Full-time

Posted 6 days ago


Nokia rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 76 rated telecommunications companies


Job description

Position: Incubation Developer Coop/Intern
Number of Position(s): 1
Duration: 4 Months  
Date: Sept- December 2026
Location: Hybrid, Ottawa, CA
EDUCATIONAL RECOMMENDATIONS
Currently a candidate for a Master's, bachelor's degree or Diploma in Computer Science, Computer Systems Engineering or a related field with an accredited school in Canada.

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 Have:

  • Programming experience in Python, Java, or C++.
  • Strong interest in Gen AI, Kubernetes, Security, and Microservices.
  • Basic understanding of automation concepts and how they are used in software systems.
  • Good problem-solving skills, a collaborative mindset, and eagerness to learn and adapt to new technologies.

You will:
As part of the team, you will:

  • Support the development and implementation of automation solutions for 5G Core products.
  • Collaborate with the team to explore and work with technologies such as Gen AI, Kubernetes, and Microservices}.
  • Conduct research on emerging technologies and help apply learnings to ongoing projects.
  • Assist in improving security practices and data protection within automation processes.
  • Participate in team activities such as code reviews, documentation, and technical discussions, contributing ideas and learning from peers.