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Remote Machine Learning Engineer Jobs in Saint Paul, MN

Senior AI/ML Engineer - Remote

Eden Prairie, MN ยท On-site +1

$106K - $146K/yr

  • Retirement

As a Senior AI/ML Engineer within the Optum Health & Financial Tech team, you will design, build ... Design, develop, and deploy production-grade AI-powered solutions and machine learning models to ...

Senior AI/ML Engineer - Remote

Eden Prairie, MN ยท On-site +1

$106K - $146K/yr

  • Retirement

As a Senior AI/ML Engineer within the Optum Health & Financial Tech team, you will design, build ... Design, develop, and deploy production-grade AI-powered solutions and machine learning models to ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN ยท On-site +1

$104K - $137K/yr

  • Retirement

As a Lead AI/ML Engineer within our Musculoskeletal (MSK) team, you will drive end-to-end delivery ... Experience deploying machine learning models and algorithms in production environments * Experience ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN ยท On-site +1

$104K - $137K/yr

  • Retirement

As a Lead AI/ML Engineer within our Musculoskeletal (MSK) team, you will drive end-to-end delivery ... Experience deploying machine learning models and algorithms in production environments * Experience ...

Showing results 21-40

Remote Machine Learning Engineer information

See Saint Paul, MN salary details

$31.8K

$129.8K

$195.1K

How much do remote machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote machine learning engineer in Saint Paul, MN is $129,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $156,300.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Saint Paul, MN?

The most popular types of Machine Learning Engineer jobs in Saint Paul, MN are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Saint Paul, MN?

For Remote Machine Learning Engineer jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Saint Paul, MN look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Saint Paul, MN are:

What cities near Saint Paul, MN are hiring for Remote Machine Learning Engineer jobs?

Cities near Saint Paul, MN with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Saint Paul, MN as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,838 per year, or $62.4 per hour.

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN โ€ข Remote

Contractor

Re-posted 22 days ago


Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.