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Remote Machine Learning Engineer Jobs in Wisconsin

Backend Software Engineer

Madison, WI ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Remote and flexible schedule - we are a remote company with hybrid options and support for flexible ...

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...

Software Development Engineer

Madison, WI ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, train, and deploy machine learning models to solve business problems and improve system ... Hybrid/remote schedule with home office stipend * Fresh fruit, healthy snacks, and beverages ...

Staff Engineer - Full Stack

Madison, WI ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Communication: Ability to communicate in a remote environment that strives to be diverse and ...

DBSL, Digital (U.S.A. Remote with 50% Travel)

Madison, WI ยท On-site +1

$115K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Software, IT, Computer Science) * 7+ years of experience leading business ... Experience leveraging Artificial Intelligence, machine learning, advanced analytics, automation ...

Showing results 21-40

Remote Machine Learning Engineer information

See Wisconsin salary details

$31.8K

$130K

$195.3K

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

As of Aug 18, 2026, the average yearly pay for remote machine learning engineer in Wisconsin is $129,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 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 Wisconsin?

The most popular types of Machine Learning Engineer jobs in Wisconsin are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Wisconsin?

For Remote Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Remote Machine Learning Engineer jobs?

Cities in Wisconsin with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,973 per year, or $62.5 per hour.

Backend Software Engineer

EnsoData

Madison, WI โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

Hi, I'm Will, an Engineering Manager at EnsoData! We're excited to announce that we're looking for a new teammate - an experienced backend engineer passionate about making healthcare better. This position offers a salary of $130,000-$140,000 along with bonus program, stock options, and benefits, including paid time off and health insurance.

As a Backend Engineer at EnsoData, you will take full ownership of our core backend infrastructure, including the API and data processing pipelines. You are responsible for the end-to-end lifecycle; you will design, develop, test, deploy, and maintain critical services supporting the EnsoSleep application. A primary focus of this role is ensuring our backend systems are architected for scalability and security while maintaining strict adherence to SaMD regulatory standards, including FDA, HIPAA, and ISO 13485.

On a given day, this could include:

  • Core backend development & architecture - architect and scale solutions, owning end-to-end SDLC, and more.
  • Interoperability & problem solving - build and maintain EnsoData's interoperability interface, partner with other team members to investigate root cause analysis, deploy reliable technical solutions for customers.
  • Quality & engineering excellence - testing and automation, code review and technical documentation.
  • Regulatory & compliance (SaMD) - regulatory adherence, QMS integration and cross function collaboration.
About EnsoData

EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer's.

Here is a little about what we are doing in the world of sleep medicine...

EnsoHST- FDA-Cleared, AI-Powered Sleep Diagnosis Using Pulse Oximeters

EnsoSleep - FDA-Cleared PSG and HSAT Scoring and Study Management

**Here is a link to learn a little about our Celeste app!

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
  • 3+ years of backend engineering experience, ideally within a startup or high-growth software environment.
  • Strong proficiency in Python, Go, or Java (Python preferred), with a track record of building and maintaining scalable RESTful APIs and microservices.
  • Demonstrated expertise in data modeling and database design using both relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) systems.
  • Practical experience deploying and managing applications on cloud platforms (AWS, GCP, or Azure) using Docker,Kubernetes, and CI/CD pipelines.
  • Proficient in Git and experienced in working within a collaborative production codebase.
  • Deep understanding of data privacy standards (e.g., HIPAA, GDPR) and a commitment to implementing secure application development practices.
  • Excellent troubleshooting skills with the ability to investigate and resolve complex root-cause issues in a timely manner.
  • A mission-driven mindset with the integrity and perseverance required to build technology that improves healthcare efficiency and affordability.

Preferred Experience

  • Experience with HL7, FHIR, DICOM, or other healthcare interoperability standards.
  • Experience with Claude (or comparable agentic AI tools) for development; including code generation, architectural guidelines and workflow optimization.
  • Knowledge of medical device regulations (FDA Class II/III, EU MDR).
  • Understanding of software risk management, validation, and clinical workflow integration.
  • Familiarity with Agile methodologies and DevOps culture.
  • Contributions to open-source software is a plus.

We will give preference to candidates who are local to Wisconsin and/or the Midwest US.

Company Culture - Embrace the Pineapple!
  • Make Healthcare Better - passionate about improving healthcare experiences.
  • Put Customers First - dedicated to understanding and meeting customer needs.
  • Be a Great Teammate - foster a collaborative and supportive work environment.
  • Gets $#!t Done - act decisively and go above and beyond.
  • Inject a Focus on Quality - maintain integrity and attention to detail in all aspects of work.

Benefits

The benefits package includes, but is not limited to, the following:

Remote and flexible schedule - we are a remote company with hybrid options and support for flexible schedules! That being said, we have an amazing office headquarters in downtown Madison, WI with views of the capitol that you are welcome to work at anytime. In case you didn't know, Madison has consistently been ranked as one of the top places to live in the US (businessinsider.com, money.com, livability.com)!

Health, dental, and vision insurance with options to choose a plan that fits you and your dependents needs.

Paid time off options - we want our employees to rest, recharge, and feel better.

Stock options - we want team members to feel ownership in the organization. When EnsoData does well, you do well.

Company Bonus Program - if we do well, we want to reward our team members! This position may include participation in the company bonus program.

401k to help people invest in the future.

Team Summits! We look forward to opportunities to gather in person and enjoy a few days together. We participate in team events and gain some great in-person time. (Hint: check out our blog for info from former team gatherings!)

Interview Process

  1. Submit a resume online and our hiring team will choose those that seem like the best candidates.
  2. We look forward to meeting you face-to-face! A few candidates will be chosen for a video call to get to know each other, discuss your experience, and explain the position in more detail.
  3. Expect an opportunity to show your skills.
  4. The final candidates will have a chance to meet a few people from the team.
  5. Offer!

Let's talk

EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you're a great fit, but don't necessarily check every box on the job description, please still get in touch.

To learn more about our ongoing commitment to diversity, see our updated website here.

Note: this role is based in the continental United States and currently EnsoData is unable to support sponsorships so candidates must be legally eligible to work and reside in the United States now and in the future.

Equal Employment Opportunity

EnsoData is proud to be an Equal Employment Opportunity employer. We do not discriminate against, nor do we tolerate unlawful harassment against, team members or any other covered persons on any basis of race, color, protective hairstyles, national, social, or ethnic origin, gender, pregnancy, childbirth, gender orientation, identity or expression, sexual, relationship, or romantic orientation, marital, civil union or domestic partnership status, family or parental status, age, protected veteran status, arrest record, expunged or sealed convictions, criminal history, source of income, credit history, housing status, physical, mental, or sensory disability, medical condition, genetic information, religion, or any other status protected by the laws or regulations in the locations where we operate.

We value, celebrate, and support diversity, inclusion, and our differences. We are committed to providing a safe work environment and a company culture of mutual respect where equal employment opportunities are available to all applicants and teammates. We seek to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, intersectional individuals, foreign-born residents, and veterans to apply. We have a deep conviction that diversity and inclusion among our teams, our communities, and our physical and virtual workplaces is vital to the success of EnsoData's mission to improve healthcare access, outcomes, and affordability for patients and communities everywhere.

If you are a job seeker applying to EnsoData and you feel that you need to request an accommodation or alternative application, please contact Angela at angela@ensodata.com.