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Entry Level Machine Learning Jobs in Arlington, VA

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... machine learning capabilities * Be a part of a team that is making an impact and HAVE FUN while ...

Founding Farmers

Dishwasher - Georgetown

Washington, DC · On-site

$18.40/hr

An entry-level position in our kitchen, these essential team members are part of our growing ... Keep the dishwashing machine clean and report any functional or mechanical problems * Monitor ...

Founding Farmers

Dishwasher - Reston Station

Reston, VA · On-site

$15 - $17/hr

An entry-level position in our kitchen, these essential team members are part of our growing ... Keep the dishwashing machine clean and report any functional or mechanical problems * Monitor ...

84 Lumber

Manager Trainee

Manassas, VA · On-site

$16/hr

Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership role ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

84 Lumber

Manager Trainee

Manassas, VA · On-site

$16/hr

Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership role ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

84 Lumber

Manager Trainee

Waldorf, MD · On-site

The Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

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Entry Level Machine Learning information

See Arlington, VA salary details

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

As of Aug 13, 2026, the average hourly pay for entry level machine learning in Arlington, VA is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $21.83 per hour, depending on experience, location, and employer.

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.

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 or entry-level positions can provide practical 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.

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.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Arlington, VA? The most popular types of Machine Learning jobs in Arlington, VA are:
What are popular job titles related to Entry Level Machine Learning jobs in Arlington, VA? For Entry Level Machine Learning jobs in Arlington, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Arlington, VA look for? The top searched job categories for Entry Level Machine Learning jobs in Arlington, VA are:
What cities near Arlington, VA are hiring for Entry Level Machine Learning jobs? Cities near Arlington, VA 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 Arlington, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,792 per year, or $20.1 per hour.

AI Data Analyst US Citizens only, active TS/SCI clearance required

LTC Solutions LLC

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Salary:


LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients needs, we would like to meet you!

LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).




Location: Hybrid (Supporting Pentagon, Arlington, VA)

Status: Contingent Hire Full-Time Hybrid

Clearance: US Citizens with Active TS/SCI Security Clearance (Required)

MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools.

Position Summary

The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making.

The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance.

Required Qualifications

  • U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
  • One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
  • Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
  • Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
  • Experience collecting, cleaning, validating, and transforming structured datasets.
  • Working knowledge of relational databases, SQL queries, and data management principles.
  • Strong analytical, problem-solving, and technical communication skills.
  • Ability to work independently while collaborating effectively with senior analysts and Government personnel.

Preferred Qualifications

  • Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
  • Experience developing automated data pipelines or reusable scripts.
  • Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
  • Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
  • Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
  • Experience creating interactive dashboards and executive visualization products.
  • Exposure to artificial intelligence, machine learning, or predictive analytics concepts.

Primary Duties

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
  • Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
  • Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
  • Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
  • Research data anomalies, resolve inconsistencies, and document corrective actions.
  • Support integration of data from multiple Government systems into consolidated analytical datasets.
  • Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
  • Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
  • Assist with testing, validating, and deploying analytical products before Government delivery.
  • Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
  • Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
  • Perform additional analytical, scripting, automation, and reporting duties as assigned.

LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.