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Entry Level Machine Learning Jobs in Arlington, VA

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Kelly Services

Machine Operator

Chantilly, VA

$19.50/hr

Machine Operator (Entry Level) Location: Onsite Schedule: Second Shift -12-hour shifts Compensation: $19.50 per hour For those who want to keep growing, learning, and evolving. We at Kelly ® hear ...

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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 Sep 5, 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 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 Arlington, VA?

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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, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $41,792 per year, or $20.1 per hour.

Software Developer (Machine Learning)-Washington D.C

Georgia IT, Inc.

Washington, DC • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Georgia IT, Inc. is seeking a Software Developer specializing in Machine Learning. The role involves building scalable machine learning algorithms and collaborating with team members to ensure high-quality deployment of machine learning models.
Responsibilities:
• Building scalable machine learning algorithms for recommendation systems and personalization
• Following continuous delivery principles to the deployment of machine learning models
• Building proof-of-concept applications or conducting exploratory experiments for the platform
• Collaborating with your quality assurance and technical operations peers as one team
• Resisting the accrual of "technical debt” in our systems.
• Working in a self-driven environment where engineers own their products end to end
• Staying educated on technical developments and tools necessary for the design and maintenance of complex, distributed platforms.
Qualifications:
Required:
• Building scalable machine learning algorithms for recommendation systems and personalization
• Following continuous delivery principles to the deployment of machine learning models
• Building proof-of-concept applications or conducting exploratory experiments for the platform
• Collaborating with your quality assurance and technical operations peers as one team
• Resisting the accrual of 'technical debt' in our systems
• Working in a self-driven environment where engineers own their products end to end
• Staying educated on technical developments and tools necessary for the design and maintenance of complex, distributed platforms
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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