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Remote Machine Learning Engineer Jobs in Saint Paul, MN

UnitedHealth Group

Software Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

As a Software Engineer within Optum Technology, you will design, develop, and deliver cutting-edge ... Strong foundation in machine learning theory, statistics, optimization, and probability * Proven ...

Target

Sr Engineer - Interactive Compute

Minneapolis, MN · On-site +1

$98K - $176K/yr

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 ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

... machine learning (gold). Apply best practices in each layer, such as schema enforcement and ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

New

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

... machine learning (gold). Apply best practices in each layer, such as schema enforcement and ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

New

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Saint Paul, MN

Remote Machine Learning Engineer information

See Saint Paul, MN salary details

$31.9K

$130.2K

$195.7K

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

As of Aug 9, 2026, the average yearly pay for remote machine learning engineer in Saint Paul, MN is $130,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $156,800.00 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:
Remote Machine Learning Engineer jobs near you
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 $130,235 per year, or $62.6 per hour.

Principal Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Re-posted 29 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th 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 seeking a seasoned Principal Data Scientist to lead design, development and deployment of advanced machine-learning solutions. In this role you will define end-to-end ML architecture, select appropriate tools and frameworks, drive POCs and guide engineering teams in productionizing scalable AI services. A solid foundation in statistics, deep learning and generative AI, hands-on cloud expertise, and exceptional communication skills are essential. The Principal Data Scientist designs and builds production grade ML and GenAI solutions, while providing technical guidance and mentorship to junior engineers without formal people management responsibilities.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, 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:
  • Lead solution architecture and hands on development of machine learning and generative AI applications
  • Design, build, and deploy scalable, production grade AI solutions using traditional ML, deep learning, and modern LLM based approaches
  • Balance architectural leadership with hands on execution across complex AI/ML initiatives
  • Provide technical guidance and mentorship to junior engineers through collaboration and code/design reviews (no people management)
  • Partner closely with engineering, product, and cross functional teams to deliver high impact AI solutions aligned with enterprise standards
  • Design, develop, and deploy AI-powered solutions to address complex business challenges
  • Lead proof-of-concept experiments in generative AI (transformers, GANs, diffusion models) to solve business problems
  • Establish best practices for model governance, versioning, reproducibility and security
  • Collaborate with data engineers, data scientists, software engineers and product managers to translate business requirements into technical solutions
  • Evaluate emerging tools, libraries and research to drive innovation and maintain competitive edge
  • Document architecture designs, conduct design reviews and present technical proposals to stakeholders

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:
  • 10+ years of experience designing, building, and deploying production machine learning solutions
  • Deep expertise in either NLP or Computer Vision, with multiple years of hands on solution ownership in that domain
  • Deep expertise in core ML and statistical methods: supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling
  • Proven solid foundation in traditional ML and deep learning, demonstrated through substantive work prior to or alongside recent GenAI efforts (GenAI only backgrounds without prior ML depth are not sufficient)
  • Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure or GCP)
  • Recent experience (approximately last three years) building GenAI applications using LLMs and frameworks such as LangChain and/or LangGraph
  • Hands on programming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow)
  • Demonstrated familiarity with big data technologies: Apache Spark, Hadoop, Dask
  • Ability to define cloud-native ML infrastructure on Azure, AWS or GCP: containerization (Docker/Kubernetes), ML pipelines (SageMaker, Vertex AI, Azure ML), MLOps (CI/CD, model registry, monitoring)
  • Proficiency in deep learning frameworks: TensorFlow, Keras, PyTorch
  • Practical experience building or fine-tuning generative models (e.g., GPT, BERT, Stable Diffusion, custom architectures)
  • Proven solid background in probability, linear algebra and statistical inference
  • Demonstrated track record of moving models from research/POC into production at scale
  • Proven excellent problem-solving ability and solid verbal/written communication skills

Preferred Qualifications:
  • Experience working with healthcare data, systems, or use cases
  • Experience with MLOps tools: MLflow, Kubeflow, TFX, Airflow or equivalent
  • Proven knowledge of data visualization tools (Tableau, Power BI) and dashboarding
  • Work supporting U.S. based healthcare or enterprise environments
  • Reside in Minnesota

*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 $112,700 to $193,200 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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