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Remote Machine Learning Jobs in Montreal, QC (NOW HIRING)

Trane Technologies

Senior Software Engineer

Montreal, QC · On-site +1

Collaborate closely with data scientists and machine learning engineers to productionize advanced building‑control algorithms. * Develop reliable, scalable APIs using FastAPI to support real‑time ...

trane technologies

Senior Software Engineer

Montreal, QC · On-site +1

Collaborate closely with data scientists and machine learning engineers to productionize advanced buildingcontrol algorithms. * Develop reliable, scalable APIs using FastAPI to support realtime data ...

Targeted Talent

Data Scientist

Montreal, QC · 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

Montreal, QC · 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 ...

Invictus Direct

Data Engineer

Montreal, QC · Remote

$60 - $90/hr

Remote Schedule: Part-Time | 6-Month Contract (chance of renewal/moving permanent) Salary: $60/hr - $90/hr (based on experience) Company: Our client is a technology-focused consulting and solutions ...

Unitytech

Senior Software Engineer

Montreal, QC · Remote

Un visa de travail ou un parrainage de l'immigration n'est pas disponible pour ce poste The opportunity Parsec creates ultra-low latency, high-performance remote desktop technology that empowers ...

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Showing results 1-20

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Montreal, QC

Remote Machine Learning information

See Montreal, QC salary details

$24.9K

$142.4K

$227.9K

How much do remote machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote machine learning in Montreal, QC is $142,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,662.00 and $171,017.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

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 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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Montreal, QC? The most popular types of Machine Learning jobs in Montreal, QC are:
What job categories do people searching Remote Machine Learning jobs in Montreal, QC look for? The top searched job categories for Remote Machine Learning jobs in Montreal, QC are:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Montreal, QC as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $142,381 per year, or $68.5 per hour.
Consultant Conversion - Lead Software Eng : Job Level - Vice President

Consultant Conversion - Lead Software Eng : Job Level - Vice President

Jewish Family Service of Colorado

Montreal, QC • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We're seeking someone to join our team as a Senior Software Engineering professional to build and evolve end-to-end data and reporting platforms that power critical balance sheet and regulatory reporting capabilities across the Firm.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Build end-to-end systems from data sourcing to calculations to reporting
  • Develop, enhance and support platforms used for balance sheet and regulatory reporting
  • Design and implement large-scale data processing pipelines using big data technologies such as Apache Spark, Azure Databricks, Airflow and Snowflake
  • Support ingestion, transformation and reporting processes to produce daily balance sheet outputs
  • Collaborate with global teams across regions and functions
  • Apply agile development practices including test driven development and DevOps best practices
  • Contribute to modernization, simplification and efficiency improvements of reporting platforms
  • Ensure systems meet regulatory and operational requirements while reducing risk

What you'll bring to the role:

  • At least 10+ years of experience in Java/Scala, Python and SQL
  • At least 5+ years of experience in large-scale data processing (Apache Spark or similar) or cloud platforms such as Azure Databricks
  • At least 5+ years of experience in cloud technologies (Azure, AWS or GCP)
  • At least 5+ years of experience building data pipelines and ETL/ELT workflows (Airflow preferred)
  • At least 7+ years of experience with database technologies such as Snowflake, DB2 or Teradata
  • At least 7+ years of experience with DevOps automation and CI/CD pipelines
  • Knowledge of Power BI is an asset
  • Experience with machine learning or GenAI is a strong asset
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills
  • Ability to collaborate with global teams and deliver within strict timelines


Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: Equal Employment Opportunity


All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.


Knowledge of French and English is required.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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