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Machine Learning Engineer Associate Jobs in Colorado Springs, CO

Data Scientist 3

Colorado Springs, CO ยท On-site

$155K - $185K/yr

Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of ... statistics, machine learning) and/or computer science (e.g. algorithms, programming, data ...

Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of ... statistics, machine learning) and/or computer science (e.g. algorithms, programming, data ...

DevSecOps Engineer

Colorado Springs, CO ยท On-site

$90K - $165K/yr

GXM is seeking a DevSecOps Engineer to join our team to support advanced defense and space-related ... Experience deploying AI/ML models, data pipelines, or machine learning platforms into operational ...

DevSecOps Engineer

Colorado Springs, CO ยท On-site

$90K - $165K/yr

GXM is seeking a DevSecOps Engineer to join our team to support advanced defense and space-related ... Experience deploying AI/ML models, data pipelines, or machine learning platforms into operational ...

Chief Engineer

Colorado Springs, CO ยท On-site +1

$160K - $190K/yr

... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO ... Bachelor's degree in engineering, computer science, or related field. * 10+ years' experience of ...

Chief Engineer

Colorado Springs, CO ยท On-site +1

$169K - $190K/yr

... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO ... Bachelor's degree in engineering, computer science, or related field. * 10+ years' experience of ...

Chief Engineer

Colorado Springs, CO ยท On-site +1

$169K - $190K/yr

... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO ... Bachelor's degree in engineering, computer science, or related field. * 10+ years' experience of ...

Showing results 41-60

Machine Learning Engineer Associate information

See Colorado Springs, CO salary details

$40.9K

$81.4K

$130.1K

How much do machine learning engineer associate jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer associate in Colorado Springs, CO is $81,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $93,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Colorado Springs, CO? The most popular types of Machine Learning Engineer jobs in Colorado Springs, CO are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Colorado Springs, CO? For Machine Learning Engineer Associate jobs in Colorado Springs, CO, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Colorado Springs, CO look for? The top searched job categories for Machine Learning Engineer Associate jobs in Colorado Springs, CO are:
What cities near Colorado Springs, CO are hiring for Machine Learning Engineer Associate jobs? Cities near Colorado Springs, CO with the most Machine Learning Engineer Associate job openings:

Data Engineer - NORTHCOM with Security Clearance

Agile Defense, Inc.

Colorado Springs, CO โ€ข On-site

$150K - $170K/yr

Other

Posted 10 days ago


Job description

About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. Thatโ€™s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agilityโ€”leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nationโ€™s vital interests. Requisition #: 1710 Job Title: Data Engineer - NORTHCOM Location: On-Site, Colorado Springs, CO Clearance Level: Top Secret,  Must Have Clearance to Start Job Description Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defenseโ€™s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools. This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred. Education and Background Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience 3+ years Required Skills Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications Preferred Skills * 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).  * Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost).  * Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry). * Strong understanding of data validation, model testing, and performance evaluation techniques.  * Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences. Working Conditions Must be able to work onsite at a SCIF $150,000 - $170,000 a year Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.  What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. * Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. * Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. * Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. * Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. * Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. * Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.