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Model Jobs in Wheat Ridge, CO (NOW HIRING)

Ameritech Windows

Show Models

Boulder, CO · On-site

$18 - $23/hr

Our show models are the icon of the Brand and has drawn guests into our booth spaces for decades. An exclusive position, reserved only for those who are entertaining, goal oriented, glamorous, and ...

Deloitte

Financial Modeling Consultant

Denver, CO · On-site

Analyzing model outputs and presenting actionable findings to clients and other stakeholders * Designing and enhancing scalable modeling tools that support scenario analysis, sensitivity analysis ...

Solid Power

Multiphysics Modeling Scientist

Louisville, CO · On-site

$105K - $140K/yr

The preferred candidate will have significant experience working with and using multiphysics simulations to model chemical systems, heat transfer dynamics, and electrochemical device behaviors. The ...

Stantec

Transportation Analyst (Modeling)

Denver, CO · On-site

$85K - $119K/yr

Prepare model inputs, execute model scenarios, and summarize results for reports and presentations. * Utilize modeling software and tools such as Cube, TransCAD, VISUM, or similar platforms.

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Model information

See Wheat Ridge, CO salary details

$10

$48

$151

How much do model jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for model in Wheat Ridge, CO is $48.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $76.63 per hour, depending on experience, location, and employer.

What are some common challenges faced by models during photo shoots and runway shows?

Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.

How to be a face model?

To become a face model, you should maintain clear, healthy skin and a versatile look that suits various brands. Building a professional portfolio with high-quality photos, networking with agencies, and attending castings or open calls are essential steps in starting a modeling career focused on facial features.

What are models?

Models are professionals who display clothing, accessories, or products in advertisements, fashion shows, catalogs, or other media. Their primary role is to visually represent products or concepts, helping brands and designers communicate their style and message to the public. Models may work in various fields, such as fashion, commercial, editorial, or runway modeling, and often collaborate with photographers, designers, and marketers. The industry values diversity, and models come in many different looks and specialties. Success as a model requires dedication, professionalism, and the ability to adapt to different creative visions.

How do you get a job as a model?

To become a model, individuals typically build a portfolio of professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Success often depends on physical appearance, confidence, and networking within the industry, along with understanding industry standards and maintaining a professional attitude.

What is the difference between Model vs Data Analyst?

AspectModelData Analyst
Required CredentialsKnowledge of statistical modeling, programming skills (e.g., Python, R)Proficiency in data analysis tools, Excel, SQL, and visualization software
Work EnvironmentOften in tech, finance, or research settings focusing on building predictive modelsIn various industries analyzing data to inform business decisions
Employer & Industry UsageUsed in industries requiring predictive analytics and machine learningCommon across business, marketing, healthcare, and finance sectors

The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

Is 30 too old to start modeling?

Modeling is a flexible industry with opportunities for individuals of various ages, including those starting in their 30s. Success often depends on factors like look, confidence, and portfolio quality, rather than age alone, and some niches such as commercial or plus-size modeling are more age-inclusive.

What Does a Model Do?

Models are an essential piece of the fashion and retail industry. These individuals help promote and market clothing, accessories, and beauty products via various industry platforms such as catalogs, online stores, fashion shows, and commercials. Not all Models are in front of the camera; some work as Fit Models, meaning they work behind the scenes with garment producers to ensure the clothing fits appropriately. Some Models specialize in a specific part of their body, such as Hand Models. Models try on different clothing items and expertly pose to showcase the garment’s features. In live situations like a fashion show, Models quickly change outfits backstage to keep the show running smoothly.

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

To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.

How much money do models make?

Models' earnings vary widely based on experience, type of modeling, and market. Entry-level models may earn a few hundred dollars per day, while top-tier models can make thousands or more per job, especially with high-profile campaigns or runway shows. Income often depends on factors like portfolio quality, agency representation, and the number of assignments secured.
More about Model jobs
What job categories do people searching Model jobs in Wheat Ridge, CO look for? The top searched job categories for Model jobs in Wheat Ridge, CO are:
What cities near Wheat Ridge, CO are hiring for Model jobs? Cities near Wheat Ridge, CO with the most Model job openings:
Model jobs near you
Infographic showing various Model job openings in Wheat Ridge, CO as of July 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Temporary. Highlights an 93% In-person, 4% Hybrid, and 3% Remote job distribution, with an average salary of $101,050 per year, or $48.6 per hour.
Principal AI/ML Engineer (Large Language Model)

Principal AI/ML Engineer (Large Language Model)

CACI International, Inc.

Aurora, CO • On-site

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

Job Title: Principal AI/ML Engineer (Large Language Model)
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: 12/2/2026
The Opportunity:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
Responsibilities:
  • Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
  • Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
  • Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
  • Build custom applications with LLM frameworks such as LangChain, DSPy
  • Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
  • Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
  • Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Interface with both internal and external leadership to communicate technical status

Qualifications:
Required:
  • Active TS/SCI Clearance
  • BS in machine learning, computer science, mathematics, or related fields.
  • 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
    • Fine-tuning foundational models
      • Steering Techniques (e.g Sparse auto encoders, representation tuning)
      • Building adapters to use foundational models (e.g. PEFT, llama factory)
    • Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
    • Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
    • Using LLM Frameworks (e.g. LangChain, DSPy)
    • Using AI APIs ( e.g AWS Bedrock, OpenAI)
    • Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
    • Developing UIs with ReAct
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.

Desired:
  • MS or PhD in machine learning, computer science, mathematics, or related fields.
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following Computer Vision domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as BERT
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$114,600-$252,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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