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Machine Learning Developer Intern Jobs in Ottawa, ON

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON · On-site

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 ...

Ciena

Software Developer Intern - Fall 2026

Ottawa, ON · On-site

CA$25 - CA$35/hr

This co-op/intern opportunity provides hands-on experience contributing to real-world engineering ... Interest in learning more about real-time and embedded software environments and automated testing.

Arcadion

Junior AI Developer

Ottawa, ON · On-site

Foundational knowledge in machine learning and NLP principles * Proficiency in Python and ... Growth path toward senior AI engineering or solution architecture roles * An innovative and ...

Pleora

Software Developer

Kanata, ON

CA$80K - CA$105K/yr

... Software Developer in the R&D team, working on projects in embedded/machine vision, IoT, and ... Develop software applications for video switching, machine learning, industrial inspection and ...

Softchoice

Sr. AI Engineer

Ottawa, ON

CA$91K - CA$114K/yr

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation: A ...

Spaceium

Mechanical Intern (Winter 27)

Ottawa, ON · On-site

As a Mechanical Intern, you will work alongside our mechanical engineering team on real spacecraft ... Support structural, thermal, and tolerance analysis tasks * Assist with machining, fabrication, and ...

Actalent

DSP Algorithm Engineer

Ottawa, ON

CA$60 - CA$80/hr

DSP Algorithm Engineer Join a central AI and chip engineering organization at a leading technology ... Implement machine learning, computer vision, and signal processing algorithms on embedded platforms.

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Machine Learning Developer Intern information

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?

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.

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 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

Junior Machine Learning Engineer

Providius

Hamilton, ON • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Job description

// About Providius

Providius has been at the forefront of innovation in the Media & Entertainment industry for over a decade, delivering solutions to complex challenges in IP media and IT infrastructure within mission-critical environments.

Headquartered in Hamilton, Ontario, Canada, we are a privately held company focused on building practical, reliable systems that solve real-world problems.

// What We’re Looking For

We’re looking for a junior machine learning engineer to join our team and grow into a strong, hands-on ML engineer.

This is a role for someone early in their career who is eager to learn, comfortable getting their hands dirty with real data, and motivated to build a solid foundation in applied machine learning.

You will work under the direction of senior ML and engineering staff, contributing to real models and pipelines while developing your skills and judgment over time.

// Position Overview

Working closely with senior engineers, you will:

  • implement, train, and evaluate models under guidance
  • prepare and explore real-world data
  • help build and maintain data pipelines
  • support experiments and document results
  • This role is hands-on and engineering-focused.

You will be writing code, working with messy, real-world data, and learning how machine learning systems are built and run in practice.

Over time, as you build experience, you will take on more ownership and tackle increasingly open-ended problems.

// Duties and Responsibilities
  • Implement and train models under the guidance of senior engineers
  • Prepare, clean, and explore datasets, including feature engineering
  • Run experiments, record results, and help interpret findings
  • Build and maintain parts of the data pipeline and supporting tooling
  • Help integrate models into larger systems alongside the team
  • Write clear, testable, and maintainable code
  • Ask good questions, seek feedback, and learn from code review

Requirements

// Required Skills / Experience
  • 0–2 years of experience in machine learning, or strong academic or project experience
  • Programming ability in Python
  • Solid grounding in machine learning fundamentals
  • Willingness to work with real-world, imperfect data
  • Strong problem-solving ability and a desire to learn
  • Ability to take direction and incorporate feedback
  • Clear communication in a team environment
// What this Role Requires
  • Eagerness to learn and grow quickly
  • Comfort working with guidance and asking for help when needed
  • Pragmatism and a willingness to see tasks through
  • Attention to detail and care in the work
  • Ownership of your own learning and contributions
// Nice to haves
  • Coursework, internships, or projects involving anomaly detection, time-series, or behavioral modeling
  • Exposure to streaming or telemetry data
  • Familiarity with common ML libraries and tooling
  • Experience contributing to a shared codebase
// Why join Providius
  • Own a product area with real autonomy and direct impact
  • Work on products that operate in real-time, high-stakes environments
  • Small team with high ownership and a direct line to leadership

Benefits

  • Dental care
  • Extended health care
  • On-site parking
  • Paid time off
  • Vision care