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Remote Machine Learning Jobs in Manitoba (NOW HIRING)

ALS

Geodata Scientist

Winnipeg, MB · Remote

Remote with Canada Lieu : A distance, au Canada About the Position The Geodata Scientist role at ... Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ...

SGI

Actuarial Analyst (Auto/Property Pricing)

Winnipeg, MB · 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 ...

Targeted Talent

Data Scientist

Winnipeg, MB · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

Targeted Talent

Data Scientist

Winnipeg, MB · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Manitoba

Remote Machine Learning information

See Manitoba salary details

$25K

$142.8K

$228.5K

How much do remote machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote machine learning in Manitoba is $142,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are popular job titles related to Remote Machine Learning jobs in Manitoba?

For Remote Machine Learning jobs in Manitoba, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Manitoba look for?

The top searched job categories for Remote Machine Learning jobs in Manitoba are:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $142,783 per year, or $68.6 per hour.

Learning Experience Designer, Customer Enablement

Laivly

Winnipeg, MB • Remote

Full-time

Re-posted 8 days ago

Job description

About Laivly

Seeking curious and creative types! We are an ambitious company of innovators building and shaping the future of customer service technology. Our solutions help the world's biggest brands leverage artificial intelligence, machine learning, and digital automation in their contact centers to deliver better customer experiences. Led by a team of established contact center experts, Laivly addresses the unique needs and challenges of customer service programs, with an emphasis on ethics in AI and the customer service agent experience.


About the role

The team at Laivly is looking for an Learning Experience Designer, Customer Enablement to help customers get the most out of our products.

This is more than a traditional instructional design role. You'll become an expert in the Laivly platform, working closely with Product, Customer Success, Engineering, Solutions, Implementations, and Support to transform complex product functionality into engaging learning experiences that drive adoption and customer success.

You'll design digital learning content, deliver customer training, and influence how customers experience our products by bringing real-world feedback back to our Product team. As we continue to expand our self-service and product-led approach, you'll play a key role in helping customers learn, adopt, and succeed.


This position is remote and open to candidates within Canada.

As Learning Experience Designer, Customer Enablement, you will...

  • Become a subject matter expert on the Laivly product suite and how it delivers value to customers.
  • Design engaging customer learning experiences using tools such as Articulate Rise, including eLearning modules, guides, videos, walkthroughs, and other enablement resources.
  • Deliver customer onboarding and training sessions across our product portfolio.
  • Partner closely with Product to stay ahead of new releases and ensure learning content reflects the latest functionality.
  • Gather customer feedback and enablement insights to help improve product usability and adoption.
  • Maintain and continuously improve our knowledge base and customer enablement content.
  • Use AI tools to accelerate content creation while maintaining high standards for quality and accuracy.
  • Collaborate across Product, Customer Success, Engineering, Support, and Implementations to create a consistent customer learning experience.
  • Support the development and evolution of Laivly's Partner Portal, partner marketing resources, and partner training and certification content.
  • Assess needs and gather requirements for new sales enablement content supporting Laivly's internal sellers and partner network.


As Learning Experience Designer, Customer Enablement, you have...

  • 3 to 5 years of experience in instructional design, customer enablement, learning and development, or a similar role.
  • Experience building digital learning content using Articulate Rise or comparable authoring tools.
  • Experience working within a SaaS or technology environment.
  • A natural curiosity for understanding software products and explaining technical concepts in a way that's easy for customers to understand.
  • Strong written communication skills and experience creating customer-facing documentation or learning materials.
  • Experience collaborating with cross-functional teams including Product, Customer Success, Engineering, Solutions, and Implementations.
  • Familiarity with LMS platforms and AI-powered content creation tools.
  • A portfolio that demonstrates your instructional design work.
  • Experience supporting product-led growth (PLG) or customer self-service initiatives.
  • Experience with Articulate Storyline, Camtasia, Loom, or similar tools.
  • Experience within the contact center or customer experience industry.


Why you'll love this role

You'll have the opportunity to shape how customers learn and experience our products. Your work won't just create training materials, it will directly influence customer adoption, product improvements, and the overall customer experience.

If you're someone who enjoys understanding how software works, simplifying complex ideas, and creating learning experiences that genuinely help people succeed, we'd love to meet you.


Life at Laivly

Laivly gives you the opportunity to collaborate and grow your career with a creative, diverse, and passionate team. We work hard and play often, with a flexible environment that works with you. A career at Laivly means being part of a fun-loving, dedicated team of creatives, risk takers and game changers. It's about sharing your talent and imagination to develop innovative tech that's revolutionizing the way top brands interact with the world.


We've got a shared mission - and a Laivly future. Join us today!


Laivly provides Equal Employment Opportunities in accordance with all provincial and federal laws. Laivly is committed to ensuring equality of opportunity in all aspects of employment and does not discriminate based on protected characteristics.


Laivly is committed to accommodating persons with disabilities. If you need accommodation at any stage of the application process or want more information on our accommodation policies, please let us know.

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