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Apprentice Machine Learning Testing Jobs in Chicago, IL

Associate AI/ML Engineer

Chicago, IL · On-site

$68.50K - $116.30K/yr

... machine learning concepts, including regression, classification, clustering, and model evaluation. * Familiarity with software engineering fundamentals, including version control, testing, and ...

Associate AI/ML Engineer

Chicago, IL · On-site

$68.50K - $116.30K/yr

... machine learning concepts, including regression, classification, clustering, and model evaluation. Familiarity with software engineering fundamentals, including version control, testing, and ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

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Apprentice Machine Learning Testing information

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How much do apprentice machine learning testing jobs pay per hour?

As of May 30, 2026, the average hourly pay for apprentice machine learning testing in Chicago, IL is $19.94, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are the most commonly searched types of Machine Learning Testing jobs in Chicago, IL? The most popular types of Machine Learning Testing jobs in Chicago, IL are:
What are popular job titles related to Apprentice Machine Learning Testing jobs in Chicago, IL? For Apprentice Machine Learning Testing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Chicago, IL look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Chicago, IL are:
Artificial Intelligence (AI) Engineer with an active TS/SCI with a Full Scope Polygraph Security Cle

Artificial Intelligence (AI) Engineer with an active TS/SCI with a Full Scope Polygraph Security Cle

Next Step Systems

Naperville, IL • Hybrid

$97.40K - $133.40K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

Job Description

Artificial Intelligence (AI) Engineer with an active TS/SCI with a Full Scope Polygraph Security Clearance Required, Hybrid in Annapolis Junction, MD

We have an immediate need for an Artificial Intelligence (AI) Engineer who will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture.  This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.  An active TS/SCI with a Full Scope Polygraph Security Clearance is required.  This position is Onsite in Annapolis Junction, MD with 1-2 Remote days/week depending on tasking.

Qualifications

Artificial Intelligence (AI) Engineer Responsibilities and Qualifications include:

- Must have an active TS/SCI Full Scope Polygraph security clearance.

- Looking for 1 to 20 years of experience is required with a bachelor’s degree.  4 years of additional experience can be substituted for a bachelor’s degree.  4 years less experience is ok for candidates with a graduate degree.

- Design and Development:  Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.  This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.

- Collaboration and Communication:  Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.  Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.

- Data Analysis and Modeling:  Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.

- Model Building and Evaluation:  Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements.  Implement robust testing and validation strategies to ensure models are accurate and unbiased.

- Continuous Improvement:  Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.

- Cloud Platforms:  Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.

Benefits include medical insurance, retirement plan, PTO, etc.

Keywords:  Annapolis Junction MD Jobs, Artificial Intelligence (AI) Engineer, AI, Artificial Intelligence, Amazon Web Services, AWS, Machine Learning, ML, Machine Learning Operations, MLOps, Machine Learning Models, TS/SCI, Full Scope Polygraph, Hybrid, Work From Home, Maryland Recruiters, Information Technology Jobs, IT Jobs, Maryland Recruiting

Looking to hire an Artificial Intelligence (AI) Engineer in Annapolis Junction, MD or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Artificial Intelligence (AI) Engineers for jobs in Annapolis Junction, Maryland and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.nextstepsystems.com.