Top 14 Machine learning engineer Jobs in Wyoming

Machine Learning Engineer
WEST Inc —Cheyenne, WY
- $90,000 - $110,000 a year
- Full-time
- Background check
- Computer Science
- Pass drug screening
- Profit sharing
DataOps Engineer
CEDENT —Wyoming
- Contract
- Computer Science
- Mid-level
- Java
Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Cheyenne, WY
- $83,430 - $222,480 a year
- Full-time
- 3 years
- High school diploma or GED
- Bachelor's degree
- Health insurance
- Dental insurance
Staff Software Engineer - Search / AI
CVS Health —Wyoming
- $106,605 - $284,280 a year
- Full-time
- Remote
- Azure
- System design
- High school diploma or GED
- Health insurance
- Dental insurance
Backend Software Engineer - AI Trainer
DataAnnotation —Casper, WY
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Back End Developer - AI Trainer
DataAnnotation —Casper, WY
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Network Engineer, Foundation & Support
Meta —Cheyenne, WY
- $162,000 - $227,000 a year
- Computer science
- Computer Science
- Construction site
Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
Senior Data Engineer / Data Architect (Remote and W2)
Vibotek LLC —United States
- Contract
- Remote
- Computer Science
- HIPAA
- Mentoring
Quick Apply

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Machine Learning Engineer

WEST Inc -
Cheyenne, WY

Apply Now

Job Details

Full-time
$90,000 - $110,000 a year

Benefits

Profit sharing

Qualifications

PyTorch
Application deployment
AI platforms (beyond public GPTs)
Driver's License
Model deployment
System deployment
Machine learning frameworks
MLOps
Cross-functional communication

Full 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

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

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

Apply Now

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machine learning engineer jobs in wyoming

Machine Learning Engineer

DataOps Engineer

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Staff Software Engineer - Search / AI

Backend Software Engineer - AI Trainer

Back End Developer - AI Trainer

Network Engineer, Foundation & Support

Analytics Engineer

Senior Data Engineer / Data Architect (Remote and W2)

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