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Internship Graduate Machine Learning Jobs in Alberta

Bachelor/Graduate degree in Computer Science or Computer/Electrical Engineering or related technical fields * Extensive experience in Python programming * Experience with machine learning techniques ...

Hatch is seeking an Electrical Engineer-in-Training new graduate in our Project Delivery Group ... Work in an exciting environment where you can apply your academic learning on a daily basis. * Gain ...

Hatch is seeking an Electrical Engineer-in-Training new graduate in our Project Delivery Group ... Work in an exciting environment where you can apply your academic learning on a daily basis. * Gain ...

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Internship Graduate Machine Learning information

What is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

What cities in Alberta are hiring for Internship Graduate Machine Learning jobs?

Cities in Alberta with the most Internship Graduate Machine Learning job openings:

Infographic showing various Internship Graduate Machine Learning job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Director - Data Management & Analytics

Edmonton, AB • On-site, Remote

City of Edmonton
Government Relations and Lobbying Services • 10K+ employees

CA$161K - CA$202K/yr

Full-time

Posted 5 days ago


Job description

The Edmonton Police Service is seeking a strategic and innovative leader to serve as Director, Data Governance and Analytics. Reporting to the Senior Executive Director, Strategic Management and Financial Oversight, this role provides enterprise leadership for data strategy, governance, analytics, and business intelligence across the organization. This roll will be critical in enhancing law enforcement operations, optimizing resource allocation, and improving community safety outcomes. You will collaborate closely with departmental leaders, technology partners, and external stakeholders to drive innovation and leverage AI solutions effectively within the Service.


Responsibilities of the role will include:

  • Lead the development and execution of the organization's enterprise data governance and analytics strategy. 
  • Establish and oversee data governance frameworks, policies, standards, and practices to ensure the secure, ethical, and effective use of data.
  • Drive data-informed decision-making by integrating business, operational, financial, and strategic analytics across the organization. 
  • Identify opportunities to leverage data and analytics to improve organizational performance, service delivery, resource allocation, and strategic outcomes. 
  • Provide executive-level advice and recommendations regarding data investments, analytics initiatives, and emerging technologies. 
  • Champion the use of data as a strategic asset and foster a culture of evidence-based decision-making. 
  • Oversee enterprise business intelligence, performance measurement, reporting, and analytics programs. 
  • Ensure compliance with legislative, regulatory, privacy, security, and information management requirements related to data. 
  • Lead the evaluation and implementation of new analytics tools, technologies, and methodologies. 
  • Collaborate with operational and corporate areas to align analytics and reporting efforts with organizational priorities. 
  • Direct enterprise planning activities related to data management, analytics, business intelligence, and performance measurement. 
  • Monitor and report on organizational performance indicators, strategic outcomes, and emerging trends. 
  • Develop and manage branch budgets, business plans, and resource requirements. 
  • Build, mentor, and lead a multidisciplinary team of analysts, data specialists, and business intelligence professionals. 
  • Foster strong partnerships with internal stakeholders, municipal partners, government agencies, academia, and external organizations to advance data and analytics capabilities. 
  • Lead change management initiatives that enhance organizational maturity in data governance, analytics, and performance measurement.
  • A University degree in computer science or business administration. Public Administration, Social Sciences or a related field or equivalent experience. A graduate degree is preferred and considered an asset.
  • 5 years of specialized training, certifications or designations that are directly related to this area of work. 
  • 10 years' progressive leadership training in the area data management and corporate governance.
  • Recognized as an authority in management and/or area of specialization and provides advice, guidance and support to others across the organization.
  • Strong technical expertise in AI technologies, machine learning, natural language processing, computer vision, and related disciplines.
  • Demonstrated ability to develop and execute strategic plans, manage multidisciplinary teams, and drive innovation in complex organizations.
  • Excellent communication skills with the ability to engage and influence stakeholders at all levels, both internally and externally along with the ability to explain the concepts of AI to a non-technical audience.
  • Experience working with diverse datasets, data governance frameworks, and regulatory requirements related to data privacy and security.
  • Knowledge of project management methodologies, tools, and techniques for planning, executing, and monitoring AI projects.
  • Commitment to continuous learning and professional development in the field of artificial intelligence and law enforcement.

Hours of Work: 36.9 hours per week, Monday - Friday. Hours of work may be subject to the terms and conditions of variable hours of work program.

Salary Range: 95M, Salary Grade: ML4, $161,608.04 - $202,010.05 (annually).

General:

  • The City of Edmonton thanks applicants for their interest in this opportunity. Candidates considered for the position will be contacted.
  • We are an equal opportunity employer.  We welcome diversity and encourage applications from all qualified individuals.
  • Please include a current resume and cover letter with your online application.
  • Please note that the option to work remotely is not available at this time.
  • Applicants may be tested.
  • As part of your pre-hire screening, you will be required to complete an Enhanced Security Clearance. Should you accept employment with the Edmonton Police Service you acknowledge and agree to participate in future Enhanced Security 
    Re-Clearances at schedule intervals or in any other circumstances, exigent or otherwise as required by Human Resources Division.

Applicants who have completed post secondary education outside of Canada are encouraged to obtain an assessment of their credentials through the International Qualifications Assessment Services (IQAS) (https://alberta.ca/international-qualifications-assessment.aspx) or another recognized Canadian credential evaluation service. For a list of designated evaluators, please visit the Alliance of Credential Evaluation Service of Canada (https://canalliance.org/en/default.html). Including an IQAS certificate or other credential assessment certificate from a recognized Canadian credential evaluation service with your application is recommended to support the evaluation of the applicant's educational qualifications.

The Province of Alberta is a party to the Federal Agreement on Internal Trade, the Trade, Investment and Labour Mobility with British Columbia and the New West Partnership Trade Agreement with British Columbia and Saskatchewan.  All of these agreements promote labour mobility between the Provinces.  Applicants may obtain information regarding recognition of extra provincial credentials at www.newwestpartnershiptrade.ca.

Edmonton rests in the heart of treaty six territory in Alberta and the homelands of the Metis Nation.

HR Technician: KJ