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Entry Level Machine Learning Jobs in Centreville, VA

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 ...

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 7, 2026, the average hourly pay for entry level machine learning in Centreville, VA is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $18.85 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 Centreville, VA?

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

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

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

Infographic showing various Entry Level Machine Learning job openings in Centreville, 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 $36,006 per year, or $17.3 per hour.

Entry-Level Software Engineer -- Remote

Steelcut Software, Inc.

Bethesda, MD • On-site

$60 - $80/hr

Other

Posted 5 days ago


Job description

Steelcut Software is in the process of expanding. We are looking for Software Engineers, Systems Administrators, and Subject Matter Experts to lead development and deployment of next-generation web applications.

Steelcut Software, Inc. 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, veteran, or other protected status.

Entry-Level Software Engineer — Remote

This is a great opportunity for an enthusiastic, recent graduate to gain experience writing software for real-world web applications and be exposed to Machine Learning. We are a small team, so you may have the opportunity to contribute to all aspects of the software development, delivery, and maintenance process depending on your skill-level and interest.

PLEASE NOTE: Currently this is a remote position with occasional in-person meetings. However, preference will be given to candidates in the vicinity of Bethesda, MD, as a hybrid work arrangement may be established in the future.

What you'll do
  • Maintain and enhance client components written in GWT, a web framework based on Java
  • Migrate legacy GWT components to React
  • Implement Java or Python webservices and server-side APIs that provide data to client-side components and other systems
  • Extend a data model to include new objects and database mappings in Java or Python
  • Write and maintain tests for client and server side components
  • Implement DevOps pipelines for build, test, analysis, and delivery
  • Support training, hyperparameter tuning, and retraining of Machine Learning models
  • Develop shell scripts and Python tools to streamline system management and maintenance, Machine Learning experimentation, and data preparation
What you'll get out of it
  • A chance to participate in the full application life-cycle from planning and design to delivery and production support
  • Exposure to the latest advances in Machine Learning, Artificial Intelligence, and Natural Language Processing
  • Experience ensuring Machine Learning models can perform under production workloads
  • Exposure to linguistics and dozens of languages
What you'll need

In general, you should:

  • Be motivated to write solid, well-tested code that will be in production
  • Want to be involved in the full software life-cycle
  • Be a self-starter who actively looks for ways to improve our environment, process, and the software we are creating
  • Demonstrated experience with Java
  • A solid understanding of object-oriented concepts
  • Exposure to client-side frameworks, design patterns, and libraries like React and MUI is desired
  • Some familiarity with Linux. We're an all Linux shop and you'll be in bash every day
  • Some relevant professional experience, preferably in a Software Developer role, from a prior internship or co-op position
  • BS in Computer Science, or a related field; or at least 4 years of relevant experience
  • Any non-English language skill, or linguistics background would be valuable
Why work at Steelcut Software?

Steelcut Software provides contract software development to primarily government clients, and aims to fill the gap between research and production. Our focus areas are re-engineering and transitioning prototypes to production use, and serving as a source of production-focused Machine Learning expertise.

Steelcut Software is a company built by an Engineer as a place for Engineers. We're looking for Engineers who write software employing the latest advances in Machine Learning and Artificial Intelligence, but that is also focused on quality, usability, and production readiness. We're also looking for Systems Administrators who are interested in keeping up the latest trends in secure systems administration. Our intent is to be adaptable and agile, limit organizational overhead, and provide a supportive, collaborative environment that gives space for our Engineers to innovate.

At Steelcut Software, we know our people are our most valuable resource. To show our appreciation and ensure our team is satisfied, we supply you with great equipment, have a flexible work environment, and provide a comprehensive benefits package that includes:

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