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Remote Machine Learning Jobs in Manitoba (NOW HIRING)

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 ...

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All 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 Jun 1, 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 Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

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 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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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 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 May 2026, with employment types broken down into 1% Internship, 1% As Needed, 49% Full Time, 47% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $142,783 per year, or $68.6 per hour.
Machine Learning Engineer, ML Systems and Infrastructure

Machine Learning Engineer, ML Systems and Infrastructure

Autodesk

Winnipeg, MB • On-site, Remote

Full-time

Posted 25 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies

Job description

Job Requisition ID #

26WD98119

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings,machines, and even the latest movies, we influence and empower some of the most creative people in the world to solveproblems that matter.

Autodesk is looking for an ML Engineer, ML Systems and Infrastructure to help build the technical foundation behind large-scale machine learning systems. In this role, you will partner with AI researchers, software engineers, and platform teams tobuild scalable pipelines, training infrastructure, data workflows, and production-ready ML systems that support the nextgeneration of AI-powered product experiences.

This is an engineering-first role focused on building and operating ML systems at scale. You will work on problems such asdistributed training workflows, data processing pipelines, model evaluation infrastructure, deployment systems, and platform tooling that improves reliability, efficiency, and developer velocity.

This role is fully remote-friendly, with team members distributed across the US and Canada.

RESPONSIBILITIES

  • Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring

  • Develop reliable software and infrastructure that supports scalable machine learning workflows

  • Contribute to distributed data processing and training systems used by researchers and engineering teams

  • Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets

  • Improve automation, testing, CI/CD, observability, and operational reliability for ML systems

  • Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers

  • Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency

  • Document technical decisions, workflows, and operational processes clearly

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas

  • Strong software engineering fundamentals, including coding, testing, debugging, and code quality

  • Proficiency in Python and experience building production-quality software

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, version control, CI/CD, and modern development workflows

  • Experience working with data-intensive systems, backend systems, or ML pipelines

  • Ability to work independently on well-defined problems with moderate ambiguity

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Familiarity with data lineage, provenance, governance, and responsible data usage in ML systems

  • Familiarity with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Familiarity with model deployment, inference services, monitoring, and observability for production ML systems

  • Familiarity with ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience working with CAD, BIM, AEC, or other complex domain-specific data formats

THE IDEAL CANDIDATE

  • Is a strong software engineer with interest in machine learning systems

  • Enjoys improving reliability, automation, and operational excellence

  • Communicates clearly and collaborates well across functions

  • Learns quickly and thrives in a fast-moving environment

  • Brings sound judgment, curiosity, and ownership to engineering work

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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