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Machine Learning Engineer Part Time Jobs in Winnipeg, MB

Canna Cabana

Retail Shift Leader

Winnipeg, MB · On-site

Overview Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana

Retail Shift Leader

Selkirk, MB · On-site

Overview Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana

Retail Shift Leader

Selkirk, MB

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana

Retail Shift Leader

Winnipeg, MB · On-site

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana

Retail Sales Associate

Winnipeg, MB · On-site

Overview Canna Cabana is actively seeking Part-Time Sales Associates who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Part Time JobsMachine Learning Engineer Part Time Jobs in Winnipeg, MB

Machine Learning Engineer Part Time information

What is a machine learning engineer part time?

A Machine Learning Engineer (Part Time) is a professional who designs, builds, and implements machine learning models and algorithms, but works fewer hours than a full-time employee—often on a flexible or project-based schedule. These engineers collaborate with data scientists and software developers to integrate intelligent systems into products or services. Part-time roles are ideal for those seeking work-life balance, students, or professionals supplementing their income. Responsibilities may include data preprocessing, model training, and deployment, but the scope is typically tailored to fit part-time hours.

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

To thrive as a Machine Learning Engineer Part Time, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and ideally a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud platforms, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, adaptability, and clear communication are valuable soft skills for collaborating on projects and conveying technical concepts. These skills ensure effective development, deployment, and optimization of machine learning models within the constraints of a part-time role.

How do part-time machine learning engineers typically balance project ownership with limited working hours?

Part-time Machine Learning Engineers often focus on well-defined project segments, collaborating closely with full-time team members to ensure alignment and continuity. Clear communication, thorough documentation, and regular check-ins are key to maintaining progress and integrating their contributions seamlessly. While they may not own entire projects, they often take responsibility for specific modules, models, or experiments, and their schedules are usually coordinated to overlap with team meetings or sprints. This structure allows part-time engineers to add significant value while maintaining a manageable workload.

What is the difference between Machine Learning Engineer Part Time vs Data Scientist Part Time?

AspectMachine Learning Engineer Part TimeData Scientist Part Time
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labs; project-basedBusiness, finance, healthcare; data analysis and reporting
Employer & Industry UsageTech firms, AI startups, R&D departmentsCorporate sectors, consulting firms, research institutions

Machine Learning Engineer Part Time focuses on developing and deploying ML models, while Data Scientist Part Time emphasizes analyzing data to extract insights. Both roles often require similar educational backgrounds and may work in overlapping industries, but their core responsibilities differ. Understanding these distinctions helps job seekers target the right position based on their skills and career goals.

What are the most commonly searched types of Machine Learning Engineer jobs in Winnipeg, MB?

The most popular types of Machine Learning Engineer jobs in Winnipeg, MB are:

Machine Learning Engineer Part Time jobs near you

Collaboration & AI DevOps Engineering Specialist (Microsoft 365 & CoPilot)

The Canada Life Assurance Company

Winnipeg, MB • On-site

CA$75K - CA$95K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

Posted 8 days ago

Job description

Permanent Full Time 

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We are seeking a Collaboration & AI DevOps Engineering Specialist with a strong technical background to design, build, operate, and continuously improve our Microsoft 365 collaboration platform and to evolve our AI CoPilot implementation. This role combines engineering, and operational excellence to deliver secure, scalable, and highly available collaboration services across Exchange, Microsoft Teams, SharePoint, and Microsoft 365 Copilot. 

The ideal candidate will bring 5+ years of hands-on experience in enterprise collaboration technologies and DevOps practices, enabling modern workplace productivity through automation, governance, and platform optimization and have an in-depth knowledge of Microsoft CoPilot. 

Key Responsibilities:

Platform Engineering & Operations:

  • Design, implement, and manage Microsoft 365 solutions including CoPilot, Exchange Online, Teams, SharePoint Online, and OneDrive. 

  • Provide end-to-end ownership of collaboration services including provisioning, configuration, monitoring, and lifecycle management 

  • Manage tenant configuration, identity integration (Entra ID), and service health monitoring 

  • Lead incident, problem, and change management processes 

DevOps & Automation:

  • Build and maintain automation frameworks using PowerShell and scripting tools 

  • Drive continuous improvement through automation and reduce manual operational effort 

  • Integrate solutions using APIs including Microsoft Graph 

Collaboration Platform Delivery:

  • Engineer and support Microsoft Teams, SharePoint, Exchange, and Copilot solutions 

  • Deliver migrations and modernization from legacy systems 

Security, Governance & Compliance:

  • Implement security controls, compliance policies, and data protection 

  • Align platform operations with governance and audit requirements 

  • Collaborate with security and compliance teams 

Stakeholder Collaboration:

  • Partner with business units to deliver collaboration solutions 

  • Act as a subject matter expert and support adoption initiatives 

Required Skills & Experience:

  • 5+ years of experience in Microsoft 365 engineering or DevOps roles 

  • Strong expertise in Teams, SharePoint, and Exchange Online 

  • Experience with automation (PowerShell, scripting, automation tooling) 

  • Knowledge of Azure and DevOps tools (Azure DevOps, GitHub) 

  • Understanding of identity and access management (Entra ID) 

  • Experience with Microsoft CoPilot 

Preferred Qualifications:

  • Familiarity with additional Microsoft products is an asset 

  • ITSM tools ServiceNow 

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The base salary for this position is between $75,000 - $95,000 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

#LI-Hybrid 

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