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Remote Senior Machine Learning Engineer Jobs in Savage, MN

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Sr Engineer - Interactive Compute

Minneapolis, MN · On-site +1

$98K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

AI Engineer - Remote / Telecommute

Minneapolis, MN · Remote

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Pay Range $50hr - $55hr Requirement/Must Have: * 3+ years of hands-on experience with machine ... Work closely with senior engineers and researchers, learning best practices and contributing to ...

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

  • Retirement

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 ...

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

  • Retirement

Working in a fully remote capacity within a collaborative environment, you will utilize modern ... machine learning capabilities Preferred Qualifications: * Experience developing event-driven ...

AI/ML Engineer

Eden Prairie, MN · Remote

  • Retirement

In this role, you will implement and iterate on AI and machine learning solutions-including ... Working in collaboration with senior engineers and cross-functional partners, you will leverage ...

Role: AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI ... Define the right AI approach across machine learning and Generative AI initiatives * Establish ...

Senior Legal AI Engineer

Eagan, MN · On-site +1

$124K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong understanding of machine learning concepts, LLM evaluation methodologies, prompt engineering, and AI system design for domain-specific workflows. * Excellent communication skills and comfort ...

Showing results 21-40

Remote Senior Machine Learning Engineer information

See Savage, MN salary details

$80.5K

$152.8K

$204.8K

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

As of Aug 20, 2026, the average yearly pay for remote senior machine learning engineer in Savage, MN is $152,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $172,300.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What cities near Savage, MN are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Savage, MN with the most Remote Senior Machine Learning Engineer job openings:

Lead AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$145K - $249K/yr

Full-time

Retirement

Re-posted 6 hours ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 889 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 the Optum Rx technology team in Eden Prairie, MN, you will lead the architectural design, development, and enterprise deployment of advanced machine learning models and AI-driven solutions that transform pharmacy benefit management, medication access, and prescription fulfillment operations. In this role, you will collaborate closely with data science, software engineering, and business leaders to solve complex health technology problems, automate key workflows, and scale robust, secure AI solutions across our digital pharmacy platforms.
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 scalable, production-grade AI-powered solutions and machine learning architectures to address complex business challenges in pharmacy services, with a strong emphasis on responsible and ethical AI
  • Leverage enterprise-approved AI tools, automation platforms, and MLOps practices to streamline software engineering workflows, automate tasks, and drive continuous operational improvement
  • Evaluate emerging technology trends, Generative AI models, and machine learning techniques to inform solution design, platform architecture, and strategic enterprise innovation
  • Lead the end-to-end lifecycle of machine learning systems, including data engineering, model training, validation, containerized deployment, and real-time model monitoring
  • Partner with cross-functional teams, data scientists, and business leaders to translate healthcare requirements into reliable, high-performance AI services and microservices
  • Provide technical leadership, architectural guidance, and code reviews, establishing best practices and mentoring engineering team members

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, Software Engineering, Data Science, or a related technical field, OR 4+ years of equivalent software engineering experience
  • 5+ years of software engineering experience with a strong focus on building, scaling, and deploying machine learning models and AI systems
  • 3+ years of experience designing, implementing, and managing production MLOps workflows, ML pipelines, and automated deployment architectures
  • 3+ years of experience programming in Python and utilizing core ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • 2+ years of hands-on experience with cloud platform infrastructure (e.g., AWS, Azure, GCP) and containerization/orchestration technologies (e.g., Docker, Kubernetes)
  • 2+ years of experience with big data technology stacks (e.g., Spark) and database systems (SQL/NoSQL)

Preferred Qualifications:
  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field
  • Experience building and deploying Generative AI applications, Large Language Models (LLMs), and retrieval-augmented generation (RAG) patterns in cloud environments
  • Experience working with pharmacy benefit management (PBM) data, clinical workflows, healthcare transaction systems, or HIPAA compliance standards
  • Solid knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform) and continuous integration/continuous deployment (CI/CD) practices
  • Proven leadership experience guiding cross-functional technical projects and mentoring mid-level engineers

*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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