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Entry Level Machine Learning Jobs in College Park, MD

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

This position is a great entry-level opportunity for new graduates who want hands-on dynamic ... robotics and machine learning. • Ability to learn new programming languages quickly. • ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level machine learning in College Park, MD is $17.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.75 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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What are the most commonly searched types of Machine Learning jobs in College Park, MD?

The most popular types of Machine Learning jobs in College Park, MD are:

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For Entry Level Machine Learning jobs in College Park, MD, the most frequently searched job titles are:

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The top searched job categories for Entry Level Machine Learning jobs in College Park, MD are:

What cities near College Park, MD are hiring for Entry Level Machine Learning jobs?

Cities near College Park, MD with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in College Park, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,909 per year, or $17.3 per hour.

Data Analyst

Kearney & Company

Alexandria, VA • On-site

$62K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Kearney is currently seeking a Data Analyst to join our team. Specifically seeking future or recent graduates majoring Computer Science, Statistics, Cyber Security or Information Technology (or other synonym for IT related major). This position is a great entry-level opportunity for new graduates who want hands-on dynamic technology related experience working with federal government agencies throughout the United States.
• Responsible for performing procedures such as data analytics, robotics, and machine learning.
• Ability to take and apply training in data analytics and robotics and machine learning.
• Ability to learn new programming languages quickly.
• Demonstrate awareness and knowledge of Federal Government's financial and management responsibilities.
• Assist in drafting and preparing project deliverables.
• Ability to work in a team environment and communicate effectively with clients and team members.
• Ability to balance multiple projects concurrently.
• Utilize technology to share knowledge with team members, develop skills, and continually learn.
• Demonstrate professionalism and competence in the client's environment.
• Strong oral and written communication skills, including presentation skills.
• Demonstrate strong digital dexterity: Meaning, executing work with independence and the capability of being agile, adept, and effective while embracing any existing or emerging technology for yielding a better business solution or outcome.
• Travel opportunities (depending on client to client)
Qualifications
Required Qualifications
  • BA/BS degree from an accredited college/university in Computer Science, Statistics, or Information Technology, Cyber Security or related (or other synonym for IT related major)
  • 2 yrs of experience in Python, R, SQL or other programming languages.
  • Excellent verbal and written communication
  • Ability to travel at least 25%, barring any travel restrictions.
  • Must have an active Interim Secret Clearance (or higher, such as Secret, Top Secret or TS/SCI) to be considered for this role (requires U.S. citizenship)

Preferred Qualifications
  • Prior experience supporting Department of Navy (DON) or other Defense organizations
  • Experience working with DoW's War Data Platform (previously Advana)
  • Experience with Palantir Foundry
  • Familiarity with Agile methodologies and version control tools

Overview
Exclusively focused on the Government, Kearney & Company provides financial services, including auditing, consulting, and technology services. Our commitment to our employees and clients as well as to dedication and trust, critical values to our Firm, have led to Kearney's recognition as one of the leading accounting firms in the country. Based on our employees' feedback, we are also consistently rated a Best Place to Work. Employment at Kearney means a flexible, collaborative, and open-minded work environment. We hope it is your "first easy decision." Learn more at www.kearneyco.com/careers." ,"
The expected salary range for this position is between $62,000 and $85,000. This range is representative of base pay only and does not include straight time pay for hours worked over 40 per week, company contributions towards paid benefits, and/or bonuses. Actual compensation (meeting or exceeding the range) will be determined based on specific experience, education, work location, clearance level, and other factors permitted by law. This position is eligible for bonuses (when applicable).
We also offer a competitive benefits package that includes:
  • Medical, Dental, Vision, Life, AD&D, and Disability Insurance
  • 401(k) Retirement Plan and 529 Education Savings Plan
  • Flexible Spending & Health Savings Account
  • Accident, Critical Illness, Hospital Indemnity Insurances
  • Legal Insurance and Pet Insurance
  • Employee Assistance Program, fitness and wellness benefits, and other firm benefits.
  • Paid holidays, vacation, and sick time

EEO Notice
Applicants have rights under Federal Employment Laws
EEO Notice
Work location is subject to change based on client requirements.
Kearney & Company is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, national origin, ethnicity, ancestry, genetic information, religion, sex, gender, gender identity, sexual orientation, marital status, pregnancy, childbirth, any medical condition related to pregnancy or childbirth, age, disability, protected veteran status, relationship or association to a protected veteran, or any other characteristic protected by local, state or federal laws, rules or regulation. Click here for more information on Kearney's EEO Policy.
If you would like to request a reasonable accommodation, regarding accessibility of our website, a modification or adjustment of the job application or interview process due to a disability, please call 703-236-2391 or email accommodations@kearneyco.com. Please be advised that this contact information is for accommodation requests only and cannot be used to inquire about the status of an application.
Family and Medical Leave Act (FMLA)
FMLA is designed to help employees balance their work and family responsibilities by allowing them to take reasonable unpaid leave for certain family and medical reasons. Kearney & Company provides eligible employees with up to 12 weeks of unpaid, job-protected leave per year. Military family leave is available for up to 26 weeks under FMLA. Click here to learn more.
Employee Polygraph Protection Act (EPPA)
The EPPA prohibits most private employers from using lie detector tests either for pre-employment screening or during the course of employment. Kearney & Company adheres all provisions of the EPPA. Click here to learn more.

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