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Machine Learning Operations Jobs in Colorado (NOW HIRING)

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Experience with machine learning operations pipelines * Ability to deploy software into a production environment * TS/SCI clearance with a polygraph * Bachelor's degree in a STEM field * Security ...

... operational excellence, and client value creation. Serve as a key thought leader, guiding the ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

... operational environment. We are the team that builds the architecture behind the data and the ... We are seeking a Machine Learning Scientist with experience in AI weather prediction to help ...

... operational environment. We are the team that builds the architecture behind the data and the ... We are seeking a Machine Learning Scientist with experience in AI weather prediction to help ...

... unprecedented operational efficiency and service levels. At Judi Health, we're deploying the ... We are looking for an experienced software engineer with machine learning expertise to join us in ...

Drive AppFolio's transition toward autonomous property management operations. Use existing LLMs ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...

Drive AppFolio's transition toward autonomous property management operations. Use existing LLMs ... D. in Computer Science, Machine Learning, or a related field (required). * 10+ years of experience ...

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Machine Learning Operations information

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks among well-paying tech jobs.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.
Infographic showing various Machine Learning Operations job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Machine Learning Engineer

The Opportunity:

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the space industry. As a machine learning engineer on our space team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a talented team of machine learning engineers across the company and collaborate with data scientists, physicists, and systems engineers to deliver world-class solutions to develop agentic AI solutions. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for intelligence community space projects.

You Have:

  • Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google

  • Experience with Kubernetes

  • Experience with data science or machine learning

  • Knowledge of python, java, or c++ programming

  • TS/SCI clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with machine learning operations pipelines

  • Ability to deploy software into a production environment

  • TS/SCI clearance with a polygraph

  • Bachelor's degree in a STEM field

  • Security+ Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914