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Entry Level Machine Learning Jobs in Reston, VA (NOW HIRING)

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential ... Experience in applying machine learning techniques, algorithm analysis, and data clustering

New

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

... incorporating machine learning techniques in your projects * Writing programs to cleanse and ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

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 ...

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 ...

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 ...

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 ...

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HVACR Instructor

Fairfax, VA · On-site

$40 - $50/hr

Check out our website - www.gutts.tech. GUTTS is an entry level and job placement program. GUTTS is ... learning environment. * Ensure the safety of the training room and lab areas, machinery, tools, and ...

Urgent

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Showing results 41-60

Entry Level Machine Learning information

See Reston, VA salary details

$12

$18

$22

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

As of Sep 7, 2026, the average hourly pay for entry level machine learning in Reston, VA is $18.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $19.76 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.

What are the most commonly searched types of Machine Learning jobs in Reston, VA?

The most popular types of Machine Learning jobs in Reston, VA are:

What are popular job titles related to Entry Level Machine Learning jobs in Reston, VA?

For Entry Level Machine Learning jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Reston, VA look for?

The top searched job categories for Entry Level Machine Learning jobs in Reston, VA are:

What cities near Reston, VA are hiring for Entry Level Machine Learning jobs?

Cities near Reston, VA with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $37,793 per year, or $18.2 per hour.

Data Scientist I

Arcfield

Chantilly, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Responsibilities
Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve decision-making, driving innovation, optimizing operations, and adding measurable value to our customer's Ground Enterprise.
The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions. Duties include but are not limited to the following:
  • Working on assignments requiring considerable judgment and initiative
  • Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises computing environments
  • Support pipeline development for data, software, and algorithm delivery to ensure reliability, security compliance, and seamless integration across domains
  • Support project development by visualizing, analyzing, trending, and providing metrics for Systems Program Office -level projects
  • Provide technical support for research, development, and the systematic transition of advanced data fusion, analytics, and automated workflow solutions to operational environments
  • Draft solutions to routine technical problems
  • Assist with developing and executing data management plans and policies
  • Perform analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
  • Participate in large-scale analysis of unstructured data for high-value use cases visualized through multi-dimensional interfaces
  • Handle processing and indexing requests for both high-volume data collections and high-velocity data streams
  • Identify insights, patterns, and trends in big data environments using computational and technical skills
  • Assist with designing, developing, and deploying sophisticated applications using advanced unstructured or semi-structured data analysis techniques
  • Interpret, connect, predict, and deliver actionable recommendations based on complex data analysis
  • Support data transportation and transformation tasks

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • BS 0-2 Years of HS 6-8
  • Interest in solving technical problems; Strong analysis skills
  • Good presentation and communication skills
  • Ability to work independently and within a team environment
  • Experience with or understanding of cloud-based tools for data analysis

Desired:
  • Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science, Data Science, Imaging Science, Mathematics, Physics or other related technical fields
  • Interest in writing code; High degree of computer literacy
  • Experience in applying machine learning techniques, algorithm analysis, and data clustering
  • Experience with utilizing open-source textual processing tools for data processing tasks
  • Demonstrated experience with employing visual analytic tools for data interpretation
  • Experience with applying entity extraction and conceptual search technologies
  • Experience with Unix/Linux Scripting
  • Experience with Python, C/C++, Fortran, or similar
  • Experience with MS Excel, Python, R, MATLAB, or similar
  • Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics and Reporting using various methods and tools
  • Ability to demonstrate experience in software development using platforms like:
    • Open-source enterprise software (e.g., Java, Linux, Ruby, Python)
    • Windows development stack (e.g., .NET, C#, C++)

Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $66,456.39 Max: $115,554.76
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.