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Machine Learning Intern Remote Jobs in Edmonton, AB

SGI

Actuarial Analyst (Auto/Property Pricing)

Edmonton, AB · On-site +1

CA$74K - CA$132K/yr

The preference is for candidates in Regina, but the role is eligible for remote work and candidates ... Understands and builds models using modern modeling techniques, including machine learning models ...

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Machine Learning Intern Remote information

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What are popular job titles related to Machine Learning Intern Remote jobs in Edmonton, AB?

For Machine Learning Intern Remote jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern Remote jobs in Edmonton, AB look for?

The top searched job categories for Machine Learning Intern Remote jobs in Edmonton, AB are:

Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Specialist (REMOTE) JP988

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Posted 8 days ago

Job description

Project Name:

Data Projects

Scope:

The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.

The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans

The successful candidate will be a Machine Learning Specialist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: machine learning (ML) model development, artificial intelligence (AI), data analysis, data science, AI development, data engineering, data modelling, statistical analysis, &, strategizing, advising, and data product design and delivery. There may be aspects of data architecture, technical analysis, and business analysis.

Duties:

Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. The MLS creates tools, models, and analysis to apply artificial intelligence for better government policy and services. The MLS will work with cross-functional project teams to apply machine learning (ML). Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:

  • Helps teams identify when (and when not) to apply ML, including identifying prerequisites for good ML applications.
  • Facilitates, coaches, and mentors others in the application of ML to complex public challenges.
  • Helps identify and select ML tools, services, and infrastructure.
  • Creates data collection, normalization, and cleaning procedures.
  • Creates training scripts and train models for specific domains using chosen ML packages.
  • Runs ML driven analyses of large datasets and reports on findings.
  • Creates ML analytics, reports, and insights to inform better services and policymaking.
  • Integrates trained ML models within applications.
  • Develops auditing, accountability, and transparency mechanisms for ML capabilities.
  • Works within privacy legislation and provides ethical as well as practical guidance on ML implementation.
  • Develop and share analytical models and products.
  • Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
  • Support in development of full-stack data analytics or AI applications as required.
  • Provide expertise and leadership in the design and competition of analytic projects.
  • Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
  • Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
  • Gather and document client requirements.
  • Capture business and technical metadata for ML products.
  • Escalate issues and risks, as appropriate.
  • Work within a multi-vendor/staff environment.
  • Other responsibilities as required or requested.