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Weekend Machine Learning Software Engineer Jobs in Cheyenne, WY

Bespoke Labs

Machine Learning Engineer

Cheyenne, WY · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Meta

Critical Facility Engineer

Cheyenne, WY

$88K/yr

Our data centers serve as the foundation upon which our software operates to meet the demands of ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Critical Facility Engineer

Prineville, OR

$104K/yr

Our data centers serve as the foundation upon which our software operates to meet the demands of ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

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All JobsMachine Learning Software Engineer JobsWeekend Machine Learning Software Engineer JobsWeekend Machine Learning Software Engineer Jobs in Cheyenne, WY

Weekend Machine Learning Software Engineer information

See Cheyenne, WY salary details

$60.2K

$139.8K

$194.7K

How much do weekend machine learning software engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for weekend machine learning software engineer in Cheyenne, WY is $139,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $163,900.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and collaboration expectations for a Weekend Machine Learning Software Engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Software Engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is a Weekend Machine Learning Software Engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

Weekend Machine Learning Software Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Western EcoSystems Technology, Inc.

Cheyenne, WY • On-site

$90K - $110K/yr

Other

Posted 2 days ago

New

Job description

Job Title
Machine Learning Engineer
Salary
$90,000 - $110,000
Job Classification
Salaried
Location
Cheyenne, WY 82001 US
Fort Collins, CO 80527 US
Laramie, WY 82072 US (Primary)
US
Job Type
Regular
# of Hires Needed
1
Application Deadline
Job Description
Western EcoSystems Technology, Inc. (WEST) is a dynamic medium-size consulting firm with offices across the United States and Canada. We are looking for a full-time Machine Learning Engineer to join our team. WEST has a permanent core of professionals with broad experience in applied ecological studies, the sophisticated analysis of natural resource data, and impact assessment and permitting. Since its founding in 1990, the WEST team has shaped our work through our core values and key principles that our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.
The Machine Learning team specializes in wildlife monitoring solutions using cutting-edge technology. We develop end-to-end systems for processing and analyzing ecological data, including camera trap imagery, drone footage, and audio data. We focus on delivering practical, deployable solutions that support real-world conservation and monitoring efforts.
Example projects include:
  • Species classification and individual re-identification of wildlife from camera trap images
  • Habitat and vegetation classification from drone footage
  • Animal tracking and behavior analysis from video collar footage

Please click here to see what benefits WEST offers!
The minimum base salary for this position is $90,000 and the maximum is $110,000, plus additional annual profit-sharing bonus potential. Salary may vary based on education, knowledge, and experience.
Location is flexible, although a location in the Fort Collins, CO, Laramie, WY, or Cheyenne, WY office is preferred
Job Description
We are seeking a talented and experienced Machine Learning Engineer to join our team. In this role, you will collaborate with Machine Learning Data Scientists to train machine learning models and create robust, scalable pipelines and software tools that can be used by internal teams and external clients. Projects often involve deploying models across a variety of environments, including cloud, on-premise, and field-based systems (e.g., drones or edge devices). This role is ideal for someone who enjoys building complete solutions, working with real-world data, and solving engineering challenges in applied computer vision.
Key Responsibilities:
Machine Learning Systems & Engineering
  • Design and implement end-to-end ML pipelines, including data ingestion, preprocessing, model inference, and results delivery
  • Develop reusable software tools and workflows that support internal teams and client-facing deliverables
  • Build systems that integrate model predictions into downstream analysis, reporting, or visualization pipelines

Deployment & Productionization
  • Deploy machine learning models across diverse environments, including cloud, on-premise, and edge/field systems
  • Optimize models and pipelines for performance, reliability, and resource constraints (e.g., memory, compute, bandwidth)
  • Ensure systems are maintainable and reproducible, including versioning of data, models, and code

Data & Model Development
  • Conduct data preprocessing, QA/QC, and dataset management for ML workflows
  • Develop and evaluate computer vision models, with attention to real-world challenges such as noisy labels, class imbalance, and domain shift
  • Iterate on model and pipeline performance based on testing and deployment feedback

Collaboration & Communication
  • Collaborate with data scientists, engineers, and domain experts (e.g., ecologists, remote sensing specialists) to design effective solutions
  • Communicate technical concepts, system limitations, and results to both technical and non-technical stakeholders
  • Contribute to technical reports, project proposals, and client deliverables

Operational Ownership
  • Support debugging and monitoring of deployed systems, including identifying issues in data, models, or infrastructure
  • Contribute to team best practices around code quality, testing, and reproducibility

This is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.
Job Requirements
Qualifications:
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, or Bachelor's with relevant work experience.
  • Proficient in Python and PyTorch, experience in C# preferred
  • Experience deploying ML models in resource-constrained or field environments (e.g., edge devices, drones, embedded systems)
  • Experience building user-facing tools, APIs, or automated workflows for ML systems
  • Experience with remote sensing, drone imagery, or ecological/biological datasets
  • Familiarity with cloud platforms, distributed processing, or large-scale data pipelines, especially Azure ML
  • Experience working on interdisciplinary teams involving scientists or domain experts
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Excellent interpersonal and human relations skills.

After an offer of employment is made, the candidate must successfully pass a pre-employment background check, drug screening, and a DMV records check that meets WEST's minimum criteria to operate a motor vehicle on behalf of the company. A valid driver's license will be required.
WEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.
Education
Bachelor's Degree
Salary Grade
Exemption Type
Exempt

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