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

Telesat

Senior LEO Flight Dynamics Analyst

Ottawa, ON · Hybrid

... new tools is critical; * Experience with Linux systems administration, Python programming and ... Experience with Machine Learning and Data Analytics is an asset; * Independent and self-motivated ...

Terapro

Technician - Heavy equipment (mobile)

Vars, ON · On-site

... new and used construction equipment. A full range of state-of-the-art machinery is offered ... Learning and development opportunities. Responsibilities * Preventive maintenance of all mobile ...

Spiria

Lead Software Developer

Ottawa, ON

CA$100/hr

... learning curve when learning new languages. In addition to actively participating in the ... Own the endtoend software architecture for machine HMI stacks, including Angularbased touchscreen ...

Venturis Capital

Outside Sales Representative

Ottawa, ON · On-site

CA$75K - CA$100K/yr

With a focus on learning and continuous improvement, we are proud to invest in our people and offer ... Driving new Service and Parts revenue within an assigned territory to meet sales targets

Venturis Capital

Outside Sales Representative

Ottawa, ON · On-site

CA$75K - CA$100K/yr

With a focus on learning and continuous improvement, we are proud to invest in our people and offer ... Driving new Service and Parts revenue within an assigned territory to meet sales targets

Brandt

Territory Manager - Peterbilt

Vars, ON

Promote rental and rental purchase of New and Used Wholegoods. * Understand and apply Machine and ... Continuous Learning: through on-the-job training and educational opportunities. * Opportunities for ...

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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.

Business and Configuration Analyst, AI

City of Ottawa

Ottawa, ON • On-site

CA$85K - CA$104K/yr

Full-time

Posted 4 days ago

Job description

Requisition ID: 23347 
Department: Finance and Corporate Services Dept. 
Service: Information Technology Services 
Employment Type: 1 Full-time Temporary
Work Hours: 35.00/hours per week
Affiliation: CIPP/CIPP 
Salary Information: $85,947.68- $104,577.20 annually (2025 rates of pay)
Location: 100 Constellation, Nepean 
Job Category: Information Technology
Application Close: 01/09/2026

JOB SUMMARY

Note: This position will primarily focus on AI tooling, with an emphasis on LLM-related use, enablement, and adoption.
The mandate of Information Technology Services is to create business value by providing innovative and strategic technology solutions for the business operations of the City of Ottawa.
You are responsible for: developing/customizing/enhancing and/or integrating a broad range of smaller-scale (or components of larger-scale) business applications/solutions for an assigned client portfolio or project, in response to new or changing business requirements; maintaining business applications/solutions (or components thereof); and providing client and technical support.
You are responsible for: researching, architecting, designing, developing, customizing, enhancing and/or integrating large-scale applications/solutions for assigned clients in response to new or changing business
requirements and/or for assigned projects; maintaining these applications/solutions; and providing client technical support in one or more technical competency areas, such as:
Automation/Artificial Intelligence (AI)/Machine Learning (ML)
Business Automation tools
Software Development

EDUCATION AND EXPERIENCE

Completion of 3 year post-secondary education in business administration or related discipline, or a field that is relevant to the job (e.g. Geography in the GIS group).

Minimum of 5 years of experience; experience using an Enterprise Resource Planning (ERP) application or Enterprise GIS application in a municipal environment is preferred.  

  • For SAP: Business experience in accounting, human resources, payroll, maintenance management, procurement, materials management or sales distribution
  • For GIS: Business experience in specific areas of the organization's business lines such as public works, urban planning, engineering, environmental studies, public health, emergency services, or transportation. 
KNOWLEDGE
  • ERP or Enterprise GIS application and configuration tools
  • System methodologies including requirements definition, functional design, implementation
  • Project management methodologies
  • Quality assurance procedures
  • Business analysis practices and techniques, and report writing techniques
  • Application administration

FOR SAP:

  • Business practices in one or more of the following disciplines; human resources, payroll, accounting, maintenance management, procurement, materials management or sales distribution

FOR GIS:

  • Business practices in specific areas of the organization's business lines such as public works, urban planning, engineering, environmental studies, public health, emergency services, or transportation.
  • Knowledge of, and experience with, ESRI software and emerging GIS technologies is desirable
COMPETENCIES, SKILLS AND ABILITIES
  • Strong analytical skills
  • Problem solving
  • Work well in a team environment
  • Exercise independent judgment, and work effectively with minimal supervision
  • Communicate effectively with end users, verbal and written
  • Estimate work and keep within tight timeframes
  • Proficiency in spreadsheet, graphics, word processing and data retrieval applications
  • Strong client service focus
  • Ability to deal with multiple demands
  • Flexibility

WHAT YOU NEED TO KNOW

  • Language Requirement: English oral, reading, writing       
  • Experience and formal training combined with demonstrated performance and ability may substitute for stipulated academic requirements. 
  • Please save a copy of the job poster. Once the closing date has passed, it will no longer be available. 

We wish to thank all applicants for their interest and effort in applying for this position. Only candidates selected for interviews will be contacted. 

The City of Ottawa promotes the principles of diversity and inclusion and adheres to the tenets of the Canadian Human Rights Act and the Ontario Human Rights Code. We encourage applications from members of Indigenous, Black and other racialized communities, persons with disabilities, women and non-binary persons, persons of all ethnic origins, religions, sexual orientations, classes, gender identities and expressions. 
Candidates are encouraged to self-identify as a member of one or more designated employment equity groups in the self-identification questionnaire.

The City of Ottawa provides accommodation to applicants during all parts of the hiring process, upon request. If contacted to proceed to the selection process, please advise us if you require any accommodation.

 

Accessible formats and communication supports are available upon request. Please contact the Employee Service Centre at 613-580-2424 extension 12211 or via email at esc-cse@ottawa.ca.

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