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Applied Machine Learning Intern Jobs in Colorado

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$180K - $360K/yr

YOUR MISSION As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core machine learning and AI capabilities for True Anomaly. You will work with a talented ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

This is a consulting role that blends hands-on engineering , applied AI/ML expertise , and client ... Machine learning depth * 4+ years building, training, and deploying ML models in production ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

This is a consulting role that blends hands-on engineering , applied AI/ML expertise , and client ... Machine learning depth * 4+ years building, training, and deploying ML models in production ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

This is a consulting role that blends hands-on engineering , applied AI/ML expertise , and client ... Machine learning depth * 4+ years building, training, and deploying ML models in production ...

True Anomaly

Machine Learning Engineer (I-III)

Denver, CO · On-site

$105K - $220K/yr

YOUR MISSION As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside ...

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All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Colorado

Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

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What job categories do people searching Applied Machine Learning Intern jobs in Colorado look for? The top searched job categories for Applied Machine Learning Intern jobs in Colorado are:
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Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Senior Data Scientist - Risk & Compliance Domain

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Posted 11 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance

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