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New Grad Machine Learning Jobs in Ottawa, ON (NOW HIRING)

Larus Technologies

Software Engineer

Ottawa, ON · On-site

New We are looking for enthusiastic, self-motivated individuals to join the Larus team as a ... Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core ...

Trellis

Senior Full Stack Developer

Kanata, ON · On-site

Own new features, craft technical specs * Work with lots and lots of data * Write lots of code in ... Machine Learning and Algorithms Compensation * Competitive Salary * Stock options * Comprehensive ...

Telesat

LEO Flight Dynamics Specialist

Ottawa, ON · On-site

... new tools is critical; * Experience with Linux systems administration Python programming and configuration management is an asset; * Experience with Machine Learning and Data Analytics is a valued ...

City of Ottawa

Makerspace Specialist

Ottawa, ON · On-site

CA$74K - CA$87K/yr

... printing, robotics machine learning, laser cutting, STEAM and makerspace programming ... Ability to learn on the job and effectively apply learning to new technologies, hardware, software ...

Telesat

LEO Flight Dynamics Analyst

Ottawa, ON · On-site

... new tools is critical; * Experience with Linux systems administration Python programming and configuration management is an asset; * Experience with Machine Learning and Data Analytics is a valued ...

AtHoc

QNX Senior Security Researcher

Ottawa, ON · On-site

CA$108K - CA$158K/yr

... new possibilities in areas like high-performance computing at the edge, standards-based ... Experience applying AI or machine learning techniques to security research or vulnerability ...

AtHoc

QNX Senior Security Researcher

Ottawa, ON · On-site

CA$108K - CA$158K/yr

... new possibilities in areas like high-performance computing at the edge, standards-based ... Experience applying AI or machine learning techniques to security research or vulnerability ...

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Showing results 21-40

All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Ottawa, ON

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What cities near Ottawa, ON are hiring for New Grad Machine Learning jobs?

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

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Ottawa, ON as of June 2026, with employment types broken down into 1% As Needed, 53% Full Time, 38% Part Time, and 8% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Software Engineer

Larus Technologies

Ottawa, ON • On-site

Full-time

Medical, Dental, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (3 days per week / hybrid), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 Ottawa-based Home Office (2 days per week)
Reporting To: Technology Director
Salary Range: $90,000 to $140,000
Type of Vacancy: New
 

We are looking for enthusiastic, self-motivated individuals to join the Larus team as a Software Engineer. Our Software Engineering team is currently developing end-to-end real-time solutions for the public safety and security industries. This includes data interfacing, collection, aggregation, display, exploitation, and fusion functionalities. As a member of the Software Engineering team, you will design and develop software modules within an existing product. You should expect to work on a wide variety of software problems and learn and apply new skills.


Key Responsibilities: 

  • Design and implement scalable, distributed software systems;
  • Design, develop, integrate and test software modules and systems;
  • Advocate high quality and best-practices in software design and development;
  • Interface development for various protocols, data formats and logical connections;
  • Close interaction with other team members on system integration and validation
  • Participate in all aspects of the software development process including planning, retrospectives, and demos;
  • Meeting assigned goals with the team and releasing deliverables to stakeholders and
  • customers; and,
  • Other duties as assigned.


Qualifications: Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.

  • University degree in Computer/Software Engineering, Computer Science or other related Engineering degree;
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
  • 5+ years of direct experience in design, development, deployment, and verification of software, with at least 2 years in Java and 2 years in python;
  • Experience with creating software documentation and other forms of technical writing;
  • Experience in developing and debugging high performance software;
  • Experience in security-oriented software design principles;
  • Experience in using REST APIs;
  • Experience with databases, including as SQL and document stores;
  • Experience using source control such as Git and build tools such as Gradle;
  • Experience with different OS (Windows, Linux);
  • Experience in one or more of virtual machines, Kubernetes, containerization, cloud platforms;
  • Excellent computer and manual problem analysis, evaluation, and resolution skills;
  • Strong organizational and problem-solving skills;
  • Passion for learning and solving complex problems;
  • Strong communication skills;
  • Experience in Continuous Integration and Continuous Deployment (CICD) Systems;
  • Organized and focused; and
  • Ability to work in a dynamic, fast-paced work environment;
     

Preferred Skills:

  • Experience with shell scripts;
  • Experience with object-oriented design;
  • Experience in designing REST APIs;
  • Experience with Python, JavaScript and TypeScript;
  • Design diagram creation (UML, flowcharts, dataflow diagrams, etc);
  • Knowledge of cyber security best practices;
  • Concurrent, message driven, distributed applications;
  • Large dataset processing and analysis;
  • Knowledge of computer networking;
  • Provide guidance and mentorship and lead technical discussions;
  • Use or develop GIS software; and
  • Develop automated testing tools or define test cases.
     

Benefits

  • Competitive compensation package
  • Comprehensive Health and Dental insurance package;
  • Competitive vacation and paid time off;
  • Company-sponsored team-building events; and
  • Learning and development opportunities.


About Larus Based in Ottawa, Canada, Larus Technologies (https://larus.com) is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core business lines: Data Fusion and Analytics, Data Science, and Research and Engineering. Larus software products include the patented Total::Insight™ DSS, the Total::Perception™ Systems Simulation Engine (SSE), and the Total::Vision™ Video Analytics Solution (VAS). Our Data Science and Engineering Consulting focuses primarily on Retail, Supply Chain Management, Public Safety, and Defence, while Research and Engineering focuses on innovations in advanced AI/ML across industries. Larus is renowned for its ability to solve complex customer challenges that require multi-sensor data collection, aggregation, exploitation, fusion, and analytics.

We thank all applicants; however, only those selected for an interview will be contacted. Upon completion of the recruitment process, all candidates interviewed will be notified if they are not selected for the role.

We use AI support tools to screen applicants for minimum role requirements.

At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Larus has an accommodation process and provides accommodation for applicants with disabilities. If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com to discuss arrangements.

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