ZipRecruiter

Log In

2

Remote Nurse Engineer Jobs (NOW HIRING)

SHP

MLOps Engineer

$140K - $175K/yr

We are an industry leader in helping Home Health, Hospice, and Skilled Nursing providers improve ... This is a remote or hybrid position within the United States. Employees living within 75 miles of ...

Ascend Learning

Lead Software Engineer

Burlington, MA · On-site +1

... nurses, allied health professionals, certified personal trainers, financial advisors, skilled ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

Ascend Learning

Sr Software Engineer

Burlington, MA · On-site +1

$133K - $175K/yr

... nurses, allied health professionals, certified personal trainers, financial advisors, skilled ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111K - $152K/yr

... nurses, allied health professionals, certified personal trainers, financial advisors, skilled ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

... nurses, allied health professionals, certified personal trainers, financial advisors, skilled ... Remote will be considered HOW YOU'LL SPEND YOUR TIME * Lead the Design, develop, and deploy ...

Ascend Learning

Sr Solutions Engineer

Burlington, MA · On-site +1

$60 - $77.50/hr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Nursing leaders focused on staffing efficiency, burnout reduction, and quality outcomes * HR ...

Inspiren

Senior Mobile Engineer

$180K - $200K/yr

Backed by nurse specialists and powerful analytics, we provide the data operators need to make ... Remote, US or Canada. NYC Preferred. * Qualified applicants will receive consideration for ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111K - $152K/yr

... nurses, allied health professionals, certified personal trainers, financial advisors, skilled ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

ACS Technologies Group, Inc.

Software Engineer

This is a remote role in the United States. What You'll Do: * Produce, maintain, and improve the ... Free Wellness Clinic staffed by a Nurse Practitioner * A caring, friendly work environment * The ...

HealthXL

Care Coordinator (CCM/RPM) - REMOTE

$18.50 - $24/hr

You are credentialed . ( Certified/Registered Medical Assistant, LPN/LVN, RN/BSN ) and enjoy ... to be a programmer and we're here to help.). You are conscientious and have excellent time ...

next page

Showing results 1-20

All JobsNurse Engineer JobsRemote Nurse Engineer Jobs

Remote Nurse Engineer information

See salary details

$13

$33

$65

How much do remote nurse engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote nurse engineer in the United States is $33.72, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $37.74 per hour, depending on experience, location, and employer.

How do Remote Nurse Engineers typically collaborate with healthcare teams and IT professionals while working off-site?

Remote Nurse Engineers often serve as a crucial bridge between clinical staff and technology teams. They use secure communication platforms, virtual meetings, and shared documentation tools to coordinate with nurses, doctors, and IT specialists. A significant part of the role involves troubleshooting medical devices or software, providing virtual training, and gathering user feedback to inform system improvements. Effective collaboration relies on proactive communication, clear documentation, and a strong understanding of both clinical workflows and technical systems.

What is a Remote Nurse Engineer?

A Remote Nurse Engineer is a healthcare professional who combines nursing expertise with engineering or technical skills to improve healthcare systems, often working from a remote location. They may be involved in designing, implementing, or maintaining healthcare technologies such as telemedicine platforms, electronic health records, or medical devices. Their work ensures that these systems are user-friendly, compliant with health regulations, and tailored to clinical workflows. Remote Nurse Engineers often collaborate with IT teams, clinicians, and administrators to enhance patient care through innovative solutions.

What is the difference between Remote Nurse Engineer vs Remote Nurse Practitioner?

AspectRemote Nurse EngineerRemote Nurse Practitioner
CredentialsRegistered Nurse (RN), engineering or technical backgroundRN license, advanced practice certification (e.g., FNP)
Work EnvironmentHealthcare tech companies, telehealth platforms, medical device firmsClinics, hospitals, telehealth services
Employer & IndustryHealthcare technology, medical device, telehealthHealthcare providers, clinics, telehealth companies
Common Search/ComparisonRemote Nurse Engineer vs Remote Nurse Practitioner

Remote Nurse Engineers focus on developing and supporting healthcare technology solutions, combining nursing knowledge with engineering skills. In contrast, Remote Nurse Practitioners provide direct patient care remotely, utilizing advanced clinical skills. Both roles require nursing credentials but differ in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Nurse Engineer, and why are they important?

To thrive as a Remote Nurse Engineer, you need a solid background in nursing and healthcare combined with expertise in clinical informatics or biomedical engineering, often supported by a BSN, RN licensure, and additional certifications in health IT. Familiarity with electronic health record (EHR) systems, telehealth platforms, and medical device integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate remotely are vital soft skills for this hybrid role. These competencies ensure the safe and efficient implementation of healthcare technology solutions that improve patient outcomes and streamline clinical workflows in remote settings.
What cities are hiring for Remote Nurse Engineer jobs? Cities with the most Remote Nurse Engineer job openings:
What are the most commonly searched types of Nurse Engineer jobs? The most popular types of Nurse Engineer jobs are:
What states have the most Remote Nurse Engineer jobs? States with the most job openings for Remote Nurse Engineer jobs include:
What job categories do people searching Remote Nurse Engineer jobs look for? The top searched job categories for Remote Nurse Engineer jobs are:
Remote Nurse Engineer jobs near you
Infographic showing various Remote Nurse Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $70,134 per year, or $33.7 per hour.

MLOps Engineer

SHP

Remote

$140K - $175K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

Strategic Healthcare Programs (SHP) is a leading provider of analytics and performance management solutions for the post-acute healthcare market. We are an industry leader in helping Home Health, Hospice, and Skilled Nursing providers improve their financial and quality performance while complying with many regulatory requirements. Additionally, we connect the post-acute world to the broader provider markets to allow for optimal management across the continuum of care.
Role Overview
We're hiring a strong Python engineer to build and operate our production ML platform end-to-end. You'll productionalize data science work by building robust on-premises infrastructure, establishing software engineering best practices, and creating the tooling that enables our data scientists to ship faster. All infrastructure is self-hosted.
This is a remote or hybrid position within the United States. Employees living within 75 miles of the Santa Barbara office are required to work in-person in the office every Wednesday.
ML experience is welcome but not required. We care most about your software engineering foundation: production Python, OOP, testing, and async/parallel performance. Our existing ML engineers will get you up to speed on the ML side - frameworks, LLMs, vector stores, vLLM, and the rest.
Team: You'll join a tight ML team where every engineer owns meaningful surface area. We're a small team where every engineer owns their code end-to-end. We value people who deeply understand the systems they build - not just that they run.
What You'll Do Day-to-Day
Production ML Systems (40%)
  • Build automated ML pipelines: data ingestion → training → evaluation → deployment → retraining
  • Deploy and serve models (batch + real-time) via FastAPI/Flask APIs with auto-scaling and rollback
  • Implement CI/CD for ML: model packaging, versioning, automated deployments
  • Optimize workflows using async, parallelism, Ray, and Dask

ML Platform & Tooling (35%)
  • Design reusable internal Python packages for preprocessing, training, inference, and evaluation
  • Refactor data science notebooks into maintainable OOP modules
  • Build workflow orchestration for training and inference pipelines
  • Create standardized templates for model development

Observability & Reliability (15%)
  • Monitor latency, drift, data quality, and model performance
  • Build alerting for degradation and anomalies (Prometheus, Grafana)
  • Create dashboards for production model health
  • Set up automated retraining triggers

Code Quality & Collaboration (10%)
  • Coach data scientists on production-grade Python: testing, OOP, async/parallel patterns
  • Establish and enforce software best practices across the ML codebase
  • Partner with data scientists to translate pain points into engineering solutions

Required Skills
Must Have:
  • 5+ years of production Python engineering
  • Strong OOP fundamentals: classes, inheritance, composition, design patterns
  • Testing discipline: unit, integration, fixtures, mocking
  • Demonstrated async and parallel optimization (asyncio, multiprocessing, threading)
  • Building and operating production Python services (APIs, workers, background jobs)
  • Familiarity with FastAPI or Flask
  • Experience deploying to self-hosted/on-prem environments

Soft Skills:
  • Translate engineering needs into clean, maintainable code
  • Comfortable coaching peers on production engineering practices
  • Curious about ML and motivated to ramp into it

Nice-to-Have
  • Prior MLOps or ML platform experience
  • ML frameworks: scikit-learn, XGBoost, PyTorch
  • Observability stack: Prometheus, Grafana, structured logging/tracing
  • RAG pipelines: vector stores, semantic search
  • LLM serving: vLLM, Text Generation Inference
  • GenAI/agentic frameworks: LangChain, LlamaIndex, DSPy
  • Orchestration: Prefect, Kubeflow, Airflow, or similar
  • Kubernetes and containerization in on-prem environments
  • Experiment tracking: MLflow
  • LLM observability: Phoenix, Langfuse, OpenLIT
  • On-prem GPU infrastructure management

Pay
$140,000. - $175,000. annual, depending upon experience.
Benefits
We value work/life balance. We offer comprehensive health benefits, a 401(k) plan with a company match, an employee stock purchase plan, vacation time, sick time, and paid holidays.
This position is not eligible for immigration sponsorship.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply