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Entry Level Machine Learning Engineer Jobs in Denver, CO

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

AI Engineer (Machine Learning / LLMs / Agentic AI) Location: Merrifield, VA (Hybrid or Remote for Highly Qualified Candidates) (Remote in AK, CA, NJ, or PA) Position Status: Contract w2 Pay Rate: $70 ...

SynergisticIT

Junior Java/C++ Developer - Remote

Denver, CO · On-site

$69K - $89K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

New

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Design, implement, and optimize machine learning models for applications such as object detection ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Design, implement, and optimize machine learning models for applications such as object detection ...

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

MS or PhD in machine learning, computer science, mathematics, or relevant fields * Experience leading an interdisciplinary team of researchers and software developers * Experience with any of the ...

CACI

AI/ML Engineer with Security Clearance

Aurora, CO · On-site

MS or PhD in machine learning, computer science, mathematics, or relevant fields * Experience leading an interdisciplinary team of researchers and software developers * Experience with any of the ...

Apple

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Denver, CO

Entry Level Machine Learning Engineer information

See Denver, CO salary details

$30.9K

$71.4K

$121.5K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for entry level machine learning engineer in Denver, CO is $71,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $80,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Denver, CO? The most popular types of Machine Learning Engineer jobs in Denver, CO are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Denver, CO? For Entry Level Machine Learning Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Denver, CO look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Denver, CO are:
What cities near Denver, CO are hiring for Entry Level Machine Learning Engineer jobs? Cities near Denver, CO with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
A.I. Engineer

A.I. Engineer

Seneca Resources Company, LLC

Denver, CO • On-site

$70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

Position Title:
AI Engineer (Machine Learning / LLMs / Agentic AI)
Location:
Merrifield, VA (Hybrid or Remote for Highly Qualified Candidates) (Remote in AK, CA, NJ, or PA)
Position Status:
Contract w2
Pay Rate:
$70/hr on w2
Position Description
We are seeking an experienced AI Engineer with deep expertise in Machine Learning, Large Language Models (LLMs), Agentic AI, Deep Learning, and Neural Networks to support innovative cybersecurity and emerging technology initiatives. This is an exciting opportunity to build next-generation AI solutions while working alongside data scientists, machine learning engineers, and software developers on cutting-edge projects.
The ideal candidate has a strong computer science foundation, hands-on experience developing production-ready machine learning models using TensorFlow and PyTorch, and a passion for researching and implementing emerging AI technologies.
Key Responsibilities
  • Design, develop, train, validate, deploy, and optimize machine learning and deep learning models.
  • Build scalable neural network solutions using TensorFlow and PyTorch.
  • Research, develop, fine-tune, and implement Large Language Models (LLMs) and Agentic AI frameworks.
  • Analyze large-scale structured and unstructured datasets to identify trends, patterns, and actionable insights.
  • Design AI-powered solutions for cybersecurity, automation, and emerging technology initiatives.
  • Review AI system architectures and data flows to identify security vulnerabilities and operational risks.
  • Conduct AI risk assessments throughout the entire AI lifecycle, including data security, model development, deployment, monitoring, and governance.
  • Collaborate with cross-functional teams including Data Engineers, Data Scientists, Machine Learning Engineers, Software Engineers, and Visualization teams.
  • Develop AI and data science solutions utilizing cloud infrastructure and modern ML platforms.
  • Optimize models for scalability, inference performance, and production deployment.
  • Evaluate emerging AI technologies and recommend innovative approaches to improve business capabilities.
  • Support ongoing model monitoring, maintenance, and continuous improvement.
Required Skills & Education
  • Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, or a related technical discipline.
  • Strong experience developing machine learning and deep learning models from design through production deployment.
  • Hands-on experience with TensorFlow and/or PyTorch.
  • Experience with Large Language Models (LLMs), Generative AI, and Prompt Engineering.
  • Experience working with Agentic AI frameworks or willingness to quickly develop expertise.
  • Strong understanding of:
    • Machine Learning
    • Deep Learning
    • Statistical Modeling
    • Neural Networks
    • Model Validation and Monitoring
  • Experience with cloud computing platforms and distributed AI workloads.
  • Experience with Natural Language Processing (NLP), Natural Language Understanding (NLU), and Generative AI.
  • Experience with Computer Vision, Image Processing, or Video Analytics.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating effectively across multidisciplinary teams.
Preferred Qualifications
  • Experience performing AI Security and AI Safety assessments.
  • Knowledge of responsible AI governance and AI risk management.
  • Experience reviewing AI architectures and evaluating data security risks.
  • Experience deploying AI solutions in cybersecurity environments.
  • GPU optimization experience using C++, CUDA, or similar technologies.
  • Experience with MLOps, CI/CD pipelines, model automation, and production deployment.
  • Experience with reinforcement learning techniques.
  • Experience with speech recognition technologies.
  • Experience with Microsoft Azure AI and cloud services.
  • Familiarity with AI model monitoring, governance, and lifecycle management.
Why Join This Opportunity?
  • Work on cutting-edge AI and cybersecurity initiatives.
  • Collaborate with highly skilled AI researchers, engineers, and data scientists.
  • Develop innovative solutions using the latest advancements in Generative AI and Agentic AI.
  • Competitive hourly compensation.
  • Flexible hybrid/remote work options for qualified candidates.
  • Opportunity to influence enterprise AI strategy and emerging technologies.
About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm-we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path.
Our consultants and contractors enjoy:
  • Competitive compensation
  • Comprehensive medical, dental, and vision insurance
  • 401(k) retirement savings plan
  • Dedicated recruiter and consultant support throughout your engagement
  • Opportunities to work with leading organizations on impactful projects

Seneca Resources is proud to be an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We encourage all qualified applicants to apply regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.

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