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Entry Level Machine Learning Engineer Jobs in Minneapolis, MN

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models ...

GEN AI Developer

Minneapolis, MN · On-site

$53.25 - $69/hr

... Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices • At least one must have concrete machine learning experience. • At least 2 should have experience ...

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Entry Level Machine Learning Engineer information

See Minneapolis, MN salary details

$31.3K

$72.4K

$123.2K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Minneapolis, MN is $72,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Minneapolis, MN? The most popular types of Machine Learning Engineer jobs in Minneapolis, MN are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Minneapolis, MN look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Entry Level Machine Learning Engineer jobs? Cities near Minneapolis, MN with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $72,408 per year, or $34.8 per hour.

AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$98K - $176K/yr

Full-time

Retirement

Posted yesterday

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 887 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.


We are looking for a talented and motivated Software Engineer to join our team. The perfect candidate will have experience with LLMs and be skilled in developing and implementing machine learning solutions. You will utilize the LangChain framework to work with both closed source and open source models and apply fine-tuning and Retrieval-Augmented Generation (RAG) methodologies to optimize language models for specific tasks and datasets.


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:

  • Develop and implement machine learning solutions using LLMs
  • Utilize the LangChain framework for working with closed source and open-source models
  • Apply fine-tuning methodologies to optimize machine learning models for specific tasks and datasets
  • Write clean, maintainable, and efficient code adhering to PEP8 standards
  • Utilize containerization technologies such as Docker for development and deployment
  • Ensure the production quality of code, including thorough testing and documentation
  • Be comfortable working on the terminal for various development and deployment tasks
  • Work on traditional machine learning methods like XGBoost for classification tasks and unsupervised learning techniques like K-means
     

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:

  • Undergraduate degree or equivalent experience
  • 3 years of proven experience working with Large Language Models (LLMs)
  • 3 years of experience with machine learning concepts and fine-tuning methodologies
  • 3 years of professional coding experience in Python, following PEP8 standards
  • Experience using the LangChain framework
  • Experience with Retrieval-Augmented Generation (RAG) techniques
  • Experience with containerization technologies such as Docker
  • Experience ensuring production-quality code, including thorough testing and documentation
  • Experience with version control systems such as Git
  • Solid problem-solving skills and attention to detail
  • Ability to write clean, maintainable, and efficient code
  • Comfortable working in the terminal for development and deployment tasks
  • Authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status)
     

Preferred Qualifications:  

  • Healthcare experience
  • Statistical knowledge

#OptumTechPJ

*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 $98,500 - $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


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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