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Machine Learning Contract Jobs in Colorado (NOW HIRING)

Mid Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Mid Computer Scientist

Aurora, CO · On-site

$69K - $158K/yr

Your analytics, data science, AI, and machine learning knowledge and consult ing expertise, coupled ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Computer Scientist, Mid

Aurora, CO · On-site

$69K - $158K/yr

Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Data Scientist, Mid

Aurora, CO · On-site

$78 - $176/hr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Data Scientist, Senior

Aurora, CO · On-site

$99 - $225/hr

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Analytic Cloud Developer

Aurora, CO · On-site

$57.25 - $78.50/hr

... Machine Learning, Applied Mathematics, Information Systems, Data Analytics, Cybersecurity, Computer Engineering, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Data Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Showing results 41-60

Machine Learning Contract information

See Colorado salary details

$14

$23

$32

How much do machine learning contract jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning contract in Colorado is $24.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $26.78 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Colorado?

The most popular types of Machine Learning jobs in Colorado are:

What are popular job titles related to Machine Learning Contract jobs in Colorado?

For Machine Learning Contract jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in Colorado look for?

The top searched job categories for Machine Learning Contract jobs in Colorado are:

What cities in Colorado are hiring for Machine Learning Contract jobs?

Cities in Colorado with the most Machine Learning Contract job openings:

Infographic showing various Machine Learning Contract job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,913 per year, or $24 per hour.

$82K - $172K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Job description

Job Title: Senior Data Scientist
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 12/31/2026
The Opportunity:
  • Apply advanced analytics and machine learning to mission problems for the National Geospatial-Intelligence Agency (NGA).
  • Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage.
  • Collaborate directly with analysts and mission users to shape analytic capabilities from concept to deployment.
  • Lead data science practices within a multi-team Agile delivery environment.

Responsibilities:
  • Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets.
  • Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
  • Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences.
  • Collaborate with mission analysts to translate analytical requirements into deployed software capabilities.
  • Integrate analytic capabilities with program systems and services in coordination with development teams.
  • Evaluate model performance, drive iterative improvement, and document methodologies.
  • Mentor mid-level data scientists and promote analytic best practices across the program.

Qualifications:
Required:
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted).
  • 8+ years of data science, analytics, or related engineering experience.
  • Expert proficiency in Python (or R) for data manipulation, modeling, and analysis.
  • Experience developing and deploying machine learning models into production environments.
  • Strong SQL skills and experience with large-scale data platforms.
  • Demonstrated experience with data visualization tools and techniques.
  • Security Clearance (TS/SCI) with willingness to undergo polygraph examination.

Desired:
  • Experience with geospatial data (imagery, vector, raster) and geospatial analytics.
  • Familiarity with cloud-based ML services and containerized model deployment.
  • Experience supporting NGA analysts or Intelligence Community mission workflows.

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:
$82,100-$172,400
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.