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Remote Machine Learning Engineer Jobs in Saint Paul, MN

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

Required Qualifications: * 5 years of experience in Data Science, Advanced Analytics, Machine Learning, or AI-related roles * 3 years of experience programming in Python, R, or SQL for data modeling ...

New

As a Senior Engineer on the Machine Learning Platform team, you will develop new capabilities to support Data Scientists and other users at Target. You will gain insights into application ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

As a Senior AI/ML Engineer, you will design and build advanced machine learning and generative AI solutions that power enterprise applications and decision systems. You will work on large language ...

Showing results 41-60

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 29, 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 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 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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,838 per year, or $62.4 per hour.

Sr Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 3 days ago

New


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 895 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together

 

We are seeking a highly analytical and innovative Senior Data Scientist to join a strategic enterprise program focused on transforming complex business processes through advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML). This role combines deep data science expertise with solid business acumen to uncover hidden patterns, identify opportunities that are not readily visible through traditional analysis, and deliver actionable recommendations that drive measurable business outcomes. The successful candidate will leverage statistical modeling, machine learning, predictive analytics, and modern AI techniques to solve complex business challenges, optimize operational processes, and design scalable decision-support solutions across the enterprise.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.  

 

Primary Responsibilities: 

  • Design, develop, and deploy AI-powered solutions to address complex business challenges, collaborating with research, engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities
  • Analyze large, complex, and diverse datasets to identify trends, anomalies, hidden relationships, and previously undiscovered insights across the enterprise
  • Develop predictive, prescriptive, and optimization models to improve business performance and operational effectiveness using machine learning, deep learning, NLP, and generative AI capabilities
  • Formulate hypotheses, conduct experiments, and validate findings using rigorous analytical and statistical methodologies
  • Evaluate emerging AI/ML trends to inform solution design, strategic innovation, and continuous improvement across enterprise applications
  • Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Partner with business, product, operations, and technology teams to translate complex analytical findings into clear business recommendations and executive-level insights
  • Design and implement scalable analytical frameworks, reusable models, and decision-support solutions
  • Mentor junior data scientists and analysts on analytical techniques, experimental design, and model development 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications: 

  • 5 years of experience in Data Science, Advanced Analytics, Machine Learning, or AI-related roles
  • 3 years of experience programming in Python, R, or SQL for data modeling and analysis
  • 3 years of experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
  • 2 years of experience working with large-scale structured and unstructured enterprise datasets
  • 2 years of experience with experimental design, hypothesis testing, optimization, and predictive modeling

 

Preferred Qualifications:  

  • Experience applying Generative AI, Large Language Models (LLMs), Agentic AI, or advanced AI techniques to business problems
  • Experience building decision intelligence solutions that influence operational or strategic outcomes
  • Knowledge of cloud-based analytics platforms and modern data ecosystems
  • Experience developing recommendation engines, pattern detection frameworks, anomaly detection models, or intelligent automation solutions
  • Experience operating in highly regulated, data-intensive enterprise environments

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy  

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

 

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.      

 

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  


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