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Remote Machine Learning Jobs in Minneapolis, MN (NOW HIRING)

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

Role: AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI ... Define the right AI approach across machine learning and Generative AI initiatives * Establish ...

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving ... International relocation and international remote working arrangements outside of the United States ...

New

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

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Showing results 1-20

Remote Machine Learning information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

How much do remote machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote machine learning in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 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.
What are the most commonly searched types of Machine Learning jobs in Minneapolis, MN? The most popular types of Machine Learning jobs in Minneapolis, MN are:
What are popular job titles related to Remote Machine Learning jobs in Minneapolis, MN? For Remote Machine Learning jobs in Minneapolis, MN, the most frequently searched job titles are:
What cities near Minneapolis, MN are hiring for Remote Machine Learning jobs? Cities near Minneapolis, MN with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.
Sr. AI Engineer/Architect (Remote)

Sr. AI Engineer/Architect (Remote)

A.C. Coy

Eagan, MN • Remote

Contractor

Re-posted 12 days ago


Job description

  • Tier One Technologies has an immediate need for a Sr. AI Engineer/Architect to support our US Government client.
  • This remote contract-to-hire position will be originated in Eagan, MN.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

  • Design and develop scalable solutions utilizing AI tools and machine learning models.
  • Conduct research, testing, and analysis to develop machine learning algorithms and predictive models.
  • Leverage big data processing and storage technologies to create datasets, prototypes, and data-driven solutions.
  • Perform model training, evaluation, integration, testing, tuning, and ongoing performance monitoring.
  • Lead and/or develop project requirements from inception through completion for complex and highly complex programs, while providing strategic guidance, technical leadership, and expert consultation to program and project teams.
  • Demonstrate continuous learning and adaptability within large-scale enterprise IT environments.
  • Troubleshoot software applications and technical implementations across complex enterprise ecosystems.
  • Design, develop, and integrate APIs to support business and technical requirements.
  • Query, manage, and analyze data using both SQL and NoSQL database technologies.

  • A degree from an accredited College/University in Software Engineering, Computer Science, Business, or related discipline is preferred.
  • 20+ years of IT-related experience.
  • Expertise in data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets. Proficiency in practical application of Core Python Concepts.
  • Proficiency in Generative AI and prompt engineering.
  • Proficiency utilizing multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or Scikit-learn.
  • Expertise in deploying Python applications in Cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
  • Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io.
  • Proficiency creating business and technical presentations in Microsoft software products.
  • Using design patterns for building scalable and maintainable applications/solutions.
  • Clearly document code, models, and technical solutions.
  • Ability to communicate effectively, both orally and in writing, with technical and non-technical team members.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Be able to pass a drug screening, criminal history, and credit checks.
  • Must be a US Citizen or have permanent residence status (Green Card).
  • Must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)

A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

Sourced by ZipRecruiter

Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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