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

Providius

Junior Machine Learning Engineer

Hamilton, ON · On-site

... 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 ...

Arcadion

Junior AI Developer

Ottawa, ON · On-site

We are looking for a Junior AI Developer to join our in-house team at our Ottawa headquarters. This ... Foundational knowledge in machine learning and NLP principles * Proficiency in Python and ...

Targeted Talent

Data Scientist

Ottawa, ON

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Ottawa, ON

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Telesat

Senior LEO Flight Dynamics Analyst

Ottawa, ON · Hybrid

Experience with Machine Learning and Data Analytics is an asset; * Independent and self-motivated ... Provide technical guidance to junior analysts. * Successful candidate must possess (or be eligible ...

ANVIL

IT & Security Operations Specialist

Ottawa, ON · On-site

CA$90K - CA$104K/yr

... machine learning capabilities. ANVIL helps organizations discover, manage, enrich, fuse, and ... Experience * 2-4 years in IT Support, Systems Administration, or Junior Security Operations ...

All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Ottawa, ON

Junior Machine Learning information

See Ottawa, ON salary details

$20K

$87.7K

$177.2K

How much do junior machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior machine learning in Ottawa, ON is $87,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,104.00 and $123,364.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

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

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,731 per year, or $42.2 per hour.

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