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Junior Machine Learning Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

... machine learning techniques such as deep learning, natural language processing, computer vision ... junior engineers within the AI enablement team. • Providing consultative services on areas of ...

Avalore, LLC

Data Scientist

Virginia, MN · On-site

$125 - $150/hr

... machine learning algorithms for specific problems, and develop feature engineering approaches to ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Champion and implement advanced AI and machine learning techniques to innovate reporting solutions ... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for ...

Pwc

US Tech - AI Engineering Manager

Minneapolis, MN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Design and implement machine learning and deep learning models for classification, NLP tasks ... Mentor junior engineers and contribute to internal knowledge-sharing initiatives You'll be rewarded ...

Galois, Inc.

Principal Scientist

Minneapolis, MN · On-site

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... You'll publish and present your findings, mentor junior staff, and help set the national and global ...

JLL

Mechatronics and Robotics Apprentice

Shakopee, MN · On-site

Mechatronics Junior Technician Apprentice - JLL What this job involves: As a Mechatronics Junior ... Working in cramped positions under/behind machinery * Working at heights * Pushing/pulling wheeled ...

JLL

Mechatronics and Robotics Apprentice

Woodbury, MN · On-site

Mechatronics Junior Technician Apprentice - JLL What this job involves: As a Mechatronics Junior ... Working in cramped positions under/behind machinery * Working at heights * Pushing/pulling wheeled ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$106K - $145K/yr

Leveraging machine learning techniques such as deep learning, natural language processing, computer ... Providing mentorship, guidance, and technical leadership to junior engineers within the AI ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

Leveraging machine learning techniques such as deep learning, natural language processing, computer ... Providing mentorship, guidance, and technical leadership to junior engineers within the AI ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN

$102K - $140K/yr

Leveraging machine learning techniques such as deep learning, natural language processing, computer ... Providing mentorship, guidance, and technical leadership to junior engineers within the AI ...

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Junior Machine Learning information

See Minnesota salary details

$7

$26

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How much do junior machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for junior machine learning in Minnesota is $26.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $32.50 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Minnesota?

The most popular types of Machine Learning jobs in Minnesota are:

What are popular job titles related to Junior Machine Learning jobs in Minnesota?

For Junior Machine Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Minnesota look for?

The top searched job categories for Junior Machine Learning jobs in Minnesota are:

What cities in Minnesota are hiring for Junior Machine Learning jobs?

Cities in Minnesota with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,914 per year, or $26.4 per hour.

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

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$104K - $137K/yr

Full-time

Retirement

Re-posted 19 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

193rd of 898 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Lead AI/ML Engineer on our Behavioral Health Technology team, you will design, develop, and implement enterprise-scale machine learning systems and artificial intelligence solutions. Our team's mission is to advance clinical and administrative excellence in behavioral health by leveraging advanced technologies like deep learning, natural language processing, and generative AI. In this role, you will have the unique opportunity to work on highly impactful datasets, architect production-ready ML pipelines, and collaborate with cross-functional partners to build cutting-edge solutions that directly improve health outcomes. You will leverage modern AI/ML frameworks, cloud environments (such as Azure, AWS, or GCP), and automated MLOps workflows to deliver scalable, secure, and responsible AI applications.
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:
  • Own Discovery, technical scoping, system Design, build, and deploy production-grade machine learning models and scalable AI solutions to address complex business challenges, emphasizing responsible and ethical use of AI
  • Design and implement end-to-end MLOps pipelines, including data ingestion, feature engineering, model training, validation, deployment, and automated monitoring
  • Evaluate emerging AI/ML trends, frameworks, and methodologies to inform solution design, drive strategic innovation, and continuously optimize existing models
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate complex business requirements into robust, reusable AI capabilities
  • Provide technical leadership, mentorship, and guidance to junior and mid-level engineers, championing engineering best practices and architectural standards
  • Troubleshoot, optimize, and maintain deployed models and pipelines to ensure high availability, scalability, and performance in production environments
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement within the engineering lifecycle

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:
  • Bachelor's degree in Computer Science, Engineering, or related quantitative field (or equivalent global degree)
  • 10+ years of experience in Software Development industry
  • 2+ years of AI/ML engineering experience, with a proven track record of designing, building, and deploying ML models in a production environment
  • 2+ years of experience with Python and core ML libraries
  • 2+ years of experience building and automating end-to-end MLOps pipelines (e.g., using MLflow, Kubeflow, Airflow, or cloud-native tooling)
  • Experience with cloud platform environments (e.g., Azure, AWS, or Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes)
  • Solid knowledge of software engineering best practices, including version control (Git), CI/CD pipelines, and unit testing

Preferred Qualifications:
  • Experience with Generative AI, Large Language Models (LLMs), prompt engineering, or retrieval-augmented generation (RAG) frameworks
  • Experience with distributed computing frameworks (e.g., Spark, Ray) and high-performance computing
  • Experience working in the healthcare sector, specifically in clinical or behavioral health technology domains
  • Solid understanding of data engineering principles, relational and non-relational databases (SQL, NoSQL, Vector databases)
  • Proven excellent communication and presentation skills, with the ability to explain complex technical AI/ML concepts to non-technical stakeholders

*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 $145,500 - $249,500 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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