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Entry Level Machine Learning Jobs in Virginia (NOW HIRING)

... operate machinery. What You Need to Succeed: High School Diploma or G.E.D. required. 2 years of ... Comprehensive training with numerous learning and development opportunities. A career with a global ...

We are currently seeking both entry level and experienced Machinists! Welcome to BWXT We believe in ... Opportunities for continuous learning and training to grow throughout your career! #LI-AN1 Pay: $33 ...

We are currently seeking both entry level and experienced Machinists! Welcome to BWXT We believe in ... Opportunities for continuous learning and training to grow throughout your career! #LI-AN1 Pay: $33 ...

We are currently seeking both entry level and experienced Machinists! Welcome to BWXT We believe in ... Opportunities for continuous learning and training to grow throughout your career! #LI-AN1 Pay: $33 ...

We are currently seeking both entry level and experienced Machinists! Welcome to BWXT We believe in ... Opportunities for continuous learning and training to grow throughout your career! #LI-AN1 Pay: $33 ...

We are currently seeking both entry level and experienced Machinists! Welcome to BWXT We believe in ... Opportunities for continuous learning and training to grow throughout your career! #LI-AN1 Pay: $33 ...

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Entry Level Machine Learning information

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$12

$17

$21

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

As of Sep 8, 2026, the average hourly pay for entry level machine learning in Virginia 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 Virginia?

The most popular types of Machine Learning jobs in Virginia are:

What are popular job titles related to Entry Level Machine Learning jobs in Virginia?

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

What job categories do people searching Entry Level Machine Learning jobs in Virginia look for?

The top searched job categories for Entry Level Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Machine Learning jobs?

Cities in Virginia with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,015 per year, or $17.3 per hour.

DARPA - Tactical Technology Office (TTO) Entry-Level Engineer / Scientist

Arlington, VA • On-site

Amentum
Guided Missile and Space Vehicle Manufacturing • 10K+ employees

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

*** Please note, positions are contingent upon award ***

Amentum is a leading provider of engineering, scientific, and program management support services to some of the top agencies in the U.S. government, including the Defense Advanced Research Projects Agency (DARPA), the National Aeronautics and Space Administration (NASA), the Department of Homeland Security (DHS), and the intelligence community.

The mission of DARPA’s Tactical Technology Office (TTO) is to reimagine every aspect of military hardware design, development, test, manufacture, and sustainment – with a focus on rapid, affordable, and scalable deployment – to create and prevent technological surprise. TTO’s goal is to demonstrate compelling hardware at the smallest scale that traces to disruptive capability, with designs that reduce risk and cost by managing complexity and that can be manufactured responsively and affordably. Additional information on TTO is available here: https://www.darpa.mil/about/offices/tto.

*** Please note, positions are contingent upon award ***

Amentum is seeking entry-level engineers to support the development and execution of technology demonstration programs in TTO. This position will provide support to Government Program Managers (PMs) as part of an interdisciplinary team. This is a full-time position with the requirement to work on-site at the client location (Ballston neighborhood of Arlington, VA). Some domestic travel (~20%) may be required.

Responsibilities May Include:
  • Providing Systems Engineering and Technical Assistance (SETA) to DARPA in the execution of advanced technology, research, and prototype demonstration programs
  • Providing technical support to DARPA PMs, performers, integrated product teams (IPTs), and associated research and development communities across industry, academia, and government
  • Identifying and translating requirements into technology research and development objectives
  • Providing overarching support to program/s to include, as needed, attending biweekly calls for performers, attending major reviews, drafting programmatic documentation for DARPA and transition partners, attending transition partner meetings and internal DARPA team meetings
  • Supporting technical interchange meetings and design reviews
  • Supporting program experimentation and testing efforts, including preparation of experiment/test plans and coordination with performers, government agents, and test facilities
  • Contributing to program briefings and technical documentation and reports
Minimum Requirements:
  • Bachelor’s degree in a relevant engineering, scientific, or technical discipline
  • 1 year of relevant experience
  • Ability to obtain a Secret security clearance. Please note US citizenship is required to obtain and maintain a security clearance
  • A basic understanding of technologies related to systems/equipment support and test & evaluation for Department of War (DoW) programs
  • Demonstrated experience in a TTO relevant area, including systems engineering, aerospace and propulsion engineering, mechanical engineering, electrical engineering, computer science, physical and chemical science, material science, hypersonics and aerothermodynamics, advanced strategic systems, aircraft design, naval architecture and marine engineering, autonomy, unmanned systems, robotics, sensors and remote sensing, computational fluid dynamics, human-machine learning, AI/ML, and other relevant scientific areas (see TTO website linked above)
  • The demonstrated professionalism, maturity, sound judgement, and excellent communication and interpersonal skills necessary for daily interactions with executive-level audiences in a dynamic, fast-paced environment
  • Ability to work independently or in a team setting as circumstances dictate
  • Strong writing skills; highly organized with excellent attention to detail
Highly Desired Attributes:
  • Master’s degree in a relevant engineering, scientific, or technical discipline
  • Active Secret security clearance, with ability to obtain a Top Secret clearance. Please note US citizenship is required to obtain and maintain a security clearance
  • Familiarity with technology assessment for military or commercial system applications
  • DARPA or other ARPA agency (ARPA-H, IARPA, ARPA-E, etc.) experience
Compensation Details:

$100K-$135K depending on qualifications and experience

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance
  • Paid time off and holidays
  • Retirement benefits (including 401(k) matching)
  • Educational reimbursement
  • Parental leave
  • Employee stock purchase plan
  • Tax-saving options
  • Disability and life insurance
  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

09/03/2026 - 09/06/2026

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

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