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Remote Healthcare Machine Learning Jobs in Denver, CO

Canals

Machine Learning Engineer

Denver, CO · Remote

We care deeply about building great products, hiring exceptional people, and creating an ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

A strong outcome-oriented mindset-you care about the "why" behind the models and the business ... Health Insurance * Dental Insurance * Vision Insurance * Flexible Spending Account (FSA) * Short ...

UCHealth Colorado Career

Healthcare Account Spec

Aurora, CO · On-site +1

$20.26 - $26.34/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... hybrid or remote option Summary: Prepares, reviews, and submits patient account billing ... Access to LinkedIn Learning, which offers thousands of virtual courses and seminars, and internal ...

Booz Allen Hamilton, Inc.

Computer Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246980 Location: Aurora,CO,US Share job via: Share Computer Scientist ... by IoT, machine learning, and artificial intelligence (AI). If you care about moving a mission ...

Booz Allen Hamilton, Inc.

Computer Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246423 Location: Aurora,CO,US Share job via: Share Computer Scientist ... machine learning, and artificial intelligence. If you care about moving a mission forward as much ...

TEKsystems

Healthcare Customer Service Representative

Denver, CO · Remote

$18 - $21/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Healthcare Custmomer Service Representative (Specialist II) Location: 100% Remote Employment Type: Contract (5 Months) About the Opportunity We are seeking a Healthcare CSR to support a growing HR ...

Booz Allen Hamilton, Inc.

Computer Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246386 Location: Aurora,CO,US Share job via: Share Computer Scientist ... machine learning, and artificial intelligence. If you care about moving a mission forward as much ...

UnitedHealth Group

Solution Architect - Remote

Denver, CO · Remote

$112K - $193K/yr

  • Retirement

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions ... Experience evaluating and integrating advanced AI technologies, machine learning, or large language ...

UnitedHealth Group

Solution Architect - Remote

Denver, CO · On-site +1

$112K - $193K/yr

  • Retirement

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions ... Experience evaluating and integrating advanced AI technologies, machine learning, or large language ...

UnitedHealth Group

Solution Architect - Remote

Denver, CO · Remote

$64.75 - $85.50/hr

  • Medical

  • Vision

  • Retirement

Lead end-to-end Solution Architecture for healthcare platforms, ensuring alignment with Optum ... Experience evaluating and integrating advanced AI technologies, machine learning, or large language ...

UnitedHealth Group

Solution Architect - Remote

Denver, CO · On-site +1

$64.75 - $85.50/hr

  • Medical

  • Vision

  • Retirement

Lead end-to-end Solution Architecture for healthcare platforms, ensuring alignment with Optum ... Experience evaluating and integrating advanced AI technologies, machine learning, or large language ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246466 Location: Aurora,CO,US Share job via: Share Data Scientist ... Experience with Machine Learning, AI or NLP * Experience with visualization packages, including ...

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All JobsHealthcare Machine Learning JobsRemote Healthcare Machine Learning JobsRemote Healthcare Machine Learning Jobs in Denver, CO

Remote Healthcare Machine Learning information

See Denver, CO salary details

$26.2K

$43.8K

$90.6K

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

As of Aug 17, 2026, the average yearly pay for remote healthcare machine learning in Denver, CO is $43,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,300.00 per year, depending on experience, location, and employer.

What is a remote healthcare machine learning professional?

A Remote Healthcare Machine Learning professional is someone who applies machine learning techniques and data analysis to healthcare-related problems while working remotely. They develop algorithms and models to analyze medical data, predict patient outcomes, and improve healthcare delivery. These professionals may work on projects like disease prediction, medical imaging analysis, or personalized treatment recommendations, often as part of a distributed team. Their work helps healthcare organizations leverage data to make informed decisions and improve patient care, all while working from a location outside of a traditional office or hospital setting.

How does a remote healthcare machine learning professional collaborate with clinical teams to implement AI solutions?

Remote Healthcare Machine Learning professionals often work closely with clinicians, data engineers, and IT staff to ensure that AI models address real clinical needs and comply with healthcare regulations. Collaboration usually involves regular virtual meetings, shared project management tools, and iterative feedback cycles where clinicians provide insights on data relevance and model outputs. Effective communication is crucial to bridge the gap between technical and medical expertise, ensuring solutions are both accurate and practical for everyday clinical use.

What are the key skills and qualifications needed to thrive as a remote healthcare machine learning specialist?

To thrive as a Remote Healthcare Machine Learning Specialist, you need a strong background in data science, statistics, machine learning algorithms, and healthcare domain knowledge, typically supported by a relevant degree in computer science, engineering, or biomedical informatics. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with electronic health record (EHR) systems or health data standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this role. These skills are crucial for developing effective, compliant, and impactful healthcare solutions that improve patient outcomes and enable remote care delivery.

What is the difference between Remote Healthcare Machine Learning vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Machine LearningRemote Healthcare Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML algorithmsDegree in Statistics, Data Analysis, or related field; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and engineers; focuses on developing modelsAnalyzes healthcare data; reports insights to stakeholders
Industry UsageDevelops predictive models for patient outcomes, diagnosticsInterprets healthcare data to inform decisions and improve processes

Remote Healthcare Machine Learning specialists focus on creating algorithms and models to predict health trends, while Remote Healthcare Data Analysts interpret healthcare data to support decision-making. Both roles require strong analytical skills but differ in technical focus and responsibilities.

What are popular job titles related to Remote Healthcare Machine Learning jobs in Denver, CO?

For Remote Healthcare Machine Learning jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Machine Learning jobs in Denver, CO look for?

The top searched job categories for Remote Healthcare Machine Learning jobs in Denver, CO are:

What cities near Denver, CO are hiring for Remote Healthcare Machine Learning jobs?

Cities near Denver, CO with the most Remote Healthcare Machine Learning job openings:

Remote Healthcare Machine Learning jobs near you
Infographic showing various Remote Healthcare Machine Learning job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $43,830 per year, or $21.1 per hour.

Machine Learning Engineer

Canals

Denver, CO • Remote

Full-time

Re-posted 8 days ago

Job description

About Canals

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

The Role

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

What You’ll Do

  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.

  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

  • Help shape the future of Canals as we continue scaling with our customers.

What You'll Bring

  • Senior-level experience building and deploying machine learning models in production environments.

  • Experience designing scalable data pipelines and working with large datasets.

  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

  • Experience working independently in a fast-paced, product-focused environment.

  • Previous experience in high-growth startups or small teams is a plus.

  • Familiarity with MLOps practices and tools is a plus.

Why Join Canals

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.