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Machine Learning Part Time Jobs in Denver, CO (NOW HIRING)

Data Science Intern CO, MN

Denver, CO · On-site

$22.10 - $27.90/hr

They utilize statistical methods, machine learning algorithms, and data visualization techniques to ... Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

Experience with statistical analysis, predictive modeling, or machine learning met hods * Ability ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

Experience with statistical analysis, predictive modeling, or machine learning methods * Ability to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 21-40

Machine Learning Part Time information

See Denver, CO salary details

$26.2K

$43.8K

$90.6K

How much do machine learning part time jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning part time in Denver, CO is $43,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,300.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the most commonly searched types of Machine Learning jobs in Denver, CO?

The most popular types of Machine Learning jobs in Denver, CO are:

What are popular job titles related to Machine Learning Part Time jobs in Denver, CO?

For Machine Learning Part Time jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in Denver, CO look for?

The top searched job categories for Machine Learning Part Time jobs in Denver, CO are:

Infographic showing various Machine Learning Part Time job openings in Denver, CO as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $43,830 per year, or $21.1 per hour.

Data Science Intern CO, MN

Denver, CO • On-site

Xcel Energy
Utilities • 10K+ employees

$22.10 - $27.90/hr

Part-time

Retirement, PTO

Posted 4 days ago


Xcel Energy rating

8.3

Company rating: 8.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz


Job description

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for.

At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive - during your internship and beyond.

A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field.

Typical intern responsibilities may include but are not limited to:

  • Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization.

  • Knowledge of machine learning techniques and algorithms.

  • Experience with data visualization tools like Posit or Power BI.

  • Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights.

  • Translate the business goals to technical expertise.

  • Translate data insights into actionable recommendations for decision-makers.

  • Collaborate closely with more senior team members and learn from experienced colleagues.

  • Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.

This position is for a May 24, 2027 start date. This position may have the possibility to extend beyond the internship's initial term based on the candidate's successful performance and Xcel Energy's business needs.

Minimum Requirements:

  • Current student, Senior or higher

  • Enrolled in an accredited college or university and pursuing a degree in Computer science, data science, statistics, math or a related analytical concentration is required.

  • Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.

Preferred Qualifications:

  • Databricks

  • Application Development skills

  • Some Python and SQL coding skills

As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you're ready to be a part of something big, we invite you to join our team.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com.

Non-BargainingThe anticipated starting base pay for this position is: $22.10 to $27.90 per hourThis position is eligible for the following benefits: Pension, 401(k) plan, Paid time off (PTO), Holidays

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.

In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.

Deadline to Apply: 10/15/26

EEO is the Law |EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)

All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.

ACCESSIBILITY STATEMENT

Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.


What Xcel Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Xcel Energy logo

About Xcel Energy

Sourced by ZipRecruiter

Xcel Energy is a prominent electricity and natural gas service provider serving multiple states in the United States, including Colorado, Michigan, Minnesota, New Mexico, North Dakota, South Dakota, Texas, and Wisconsin. Our commitment revolves around delivering essential services to our valued customers. As a trailblazer in the industry, we were the first major US electricity provider with a visionary goal to achieve 100% carbon-free electricity by 2050 and an ambitious 80% reduction in carbon emissions by 2030, based on 2005 levels. Through innovative electric vehicle initiatives, we actively contribute to carbon reduction not only in our electricity generation but also in the transportation sector within the states we operate. Simultaneously, we remain devoted to ensuring cost-effectiveness for our customers by implementing advanced electricity rates and energy efficiency programs.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1909