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Remote Full Stack Machine Learning Engineer Jobs in Wyoming

... a Full-stack development environment (DevHub)-engineered for scalable enterprise adoption ... allocation • Remote-first culture • Mission-driven work at the frontier of decentralized ...

You do not need to be a specialist full-stack engineer - AI-assisted development is expected to ... Take advantage of our learning and development programs, mentorship opportunities, and career ...

This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

... as a Full-stack development enveronment (DevHub)-engineered for scalable enterprise adoption, developer innovation, and real-world blockchain integration. Our Projects * Autheo - www.autheo.com

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Job Purpose The Application Security Engineer is responsible for strengthening the security of our ...

$34 - $36/hr

Learn more about this agency Duties Help Provides full range of administrative and operational support to Blackboard (Bb) e-learning platform. Administers the Learning Management System (LMS) and Bb ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Wyoming?

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

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Wyoming look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Wyoming are:

What cities in Wyoming are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities in Wyoming with the most Remote Full Stack Machine Learning Engineer job openings:

Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Wyoming as of June 2026, with employment types broken down into 16% Full Time, 80% Part Time, and 4% Contract. Highlights an 51% Physical, 2% Hybrid, and 47% Remote job distribution.

Post Doc Res Assoc - Leakage-Aware Hydrogen Supply Chain, Civil & Architectural Engineering & Con...

University of Wyoming

Laramie, WY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


University Of Wyoming rating

7.0

Company rating: 7.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

437th of 620 rated colleges and universities


Job description

Join Our Campus Community! 

Thank you for your interest in joining the University of Wyoming.Our community thrives on the contributions of talented and driven individuals who share in our mission, vision, and values. If your expertise and experience align with the goals of our institution, we would be thrilled to hear from you. We encourage you to apply and become a valued member of our vibrant campus community today! 

Why Choose Us? 

At the University of Wyoming, we value our employees and invest in their success.  Our comprehensive benefits package is designed to support your health, financial security, and work-life balance.  Benefits include: 

  • Generous Retirement Contributions:The State contributes 15.19% of your gross salary, and you contribute 3.93%, totaling 19.12% toward your retirement plan. 
  • Exceptional Health & Prescription Coverage:Enjoy access to medical, dental, and vision insurance with competitive employer contributions, that include 4 deductible options to suit your needs. 
  • Paid Time Off:Benefit from ample sick leave, paid holidays, and paid winter closure. 
  • Tuition Waiver:Employees and eligible dependents can take advantage of tuition waivers, supporting continuous education and professional growth. 
  • Wellness and Employee Assistance Programs:Stay healthy with wellness initiatives, counseling services, and mental health resources. 

At the University of Wyoming, we are committed to creating a supportive and enriching workplace. To learn more about what we offer, please refer to UW's Benefits Summary. 

JOB TITLE:                       

Post Doctoral Research Associate in Leakage-Aware Hydrogen Supply Chain

JOB PURPOSE:

The Laboratory for Low-Carbon Energy and Environmental Sustainability promotes a long-term vision for the role of both technology and policy to cope with complex energy, environmental and natural resource challenges. The laboratory conducts systems research that addresses technical, economic, and policy issues related to energy and environmental systems. Current interests of research mainly include carbon capture and storage, clean hydrogen, low-carbon energy systems, and the energy-water nexus under carbon constraints for climate change mitigation. The laboratory pioneers the development of the Integrated Environmental Control Model (IECM), a computer tool used worldwide for power plant modeling and assessment. The principal investigator is Prof. Haibo Zhai, the Roy & Caryl Cline Distinguished Chair in Engineering and a Wyoming Excellence Chair at UW. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:  

The laboratory will hire a postdoctoral research associate to work on a collaborative project with the UW School of Energy Resources' Hydrogen Energy Research Center. This project will develop a risk-based, multi-tier computing framework to design, optimize, and operate hydrogen infrastructure while explicitly accounting for hydrogen leakage and mitigation. The outcomes will support sustainable development of low-carbon hydrogen supply chains and associated infrastructure. The postdoctoral researcher will work under direction of Prof. Zhai and senior collaborators, present results at conferences, and publish work in peer-reviewed journals.

COMPETENCIES:  

We strongly encourage applicants with expertise in process modeling, techno-economic analysis, stochastic optimization, and machine learning. Knowledge of hydrogen infrastructure and leakage mechanisms is a plus. 

MINIMUM QUALIFICATIONS:  

  • A Doctoral Degree in chemical and environmental engineering, petroleum engineering, mechanical engineering or other energy related field
  • Expertise in optimization

REQUIRED APPLICATION MATERIALS:

Complete the online application.  The department additionally requests candidates upload the following document(s) for a complete application: 

  1. Cover letter 
  2. Resume or C.V. 
  3. Contact information for four work-related references (references will only be contacted if you are selected as a finalist for the position). 

This position will remain open until filled. Complete applications received by 07/29/2026 will receive full consideration. 

WORK LOCATION: 

On-campus: This position provides vital support to campus customers, and the successful candidate must be available to work and perform essential job functions on campus, understanding our location is at 7,220 feet above sea level. 

WORK AUTHORIZATION REQUIREMENTS: 

The successful candidate must be eligible to work in the United States, as sponsorship for any work authorization or work visas is not available for this position. 

 HIRING STATEMENT/EEO: 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. In compliancewith the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation to apply for a position, please contact us at 307-766-2377 or emailjobapps@uwyo.edu. 

ABOUT LARAMIE: 

The University of Wyoming is located in Laramie, a charming town of 30,000 residents nestled in the heart of the Rocky Mountain West. The state of Wyoming continues to invest in its only 4-year university, helping to make it a leader in academics, research, and outreach with state-of-the-art facilities and strong community ties. We invite you to learn  more about Laramie by visiting the About Laramie website. 

Located in a high mountain valley near the Colorado border, Laramie offers both outstanding recreational opportunities and close proximity to Colorado's Front Range and the metropolitan Denver area. Laramie's beautiful mountain landscape offers outdoor enjoyment in all seasons, with over 300 days of sunshine annually. For more information about the region, please visit http://visitlaramie.org/ 


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About University of Wyoming

Sourced by ZipRecruiter

The University of Wyoming (UW) is a renowned institution known for its commitment to academic excellence, vibrant community, and stunning natural surroundings. As the only four-year university in Wyoming, UW offers a diverse range of undergraduate and graduate programs across various fields of study. With a history dating back to 1886, the university has established a strong reputation for its rigorous academics, distinguished faculty, and state-of-the-art facilities. Located in Laramie, Wyoming, UW's campus provides a picturesque backdrop for students' educational journey. Surrounded by the breathtaking beauty of the Rocky Mountains and vast plains, students at UW enjoy access to a wealth of outdoor recreational opportunities. Beyond the scenic landscape, the university fosters a strong sense of community, where students, faculty, and staff form lasting connections. With a relatively small student-to-faculty ratio, UW offers a supportive and engaging environment for students to thrive academically and personally.

Industry

Education

Company size

10,000+ Employees

Headquarters location

Laramie, WY, US

Year founded

1886

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