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Junior Machine Learning Jobs in Virginia (NOW HIRING)

Junior AI/ML Engineer

Arlington, VA · On-site

$83K - $139K/yr

MANTECH seeks a motivated, career and customer-oriented Junior AI/ML Engineer to join our team. On ... Implement automated machine learning pipelines and MLOps practices for continuous integration and ...

Junior Software Developer - TS/SCI

Herndon, VA · On-site

$68K - $89K/yr

Parsons Corporation is currently searching for a full-time Software Developer Junior position at ... Work with tools and frameworks such as AWS, Docker, Kubernetes, and machine learning libraries (e.g ...

JR. Data Scientist

Chesapeake, VA · On-site

$80K - $84K/yr

Junior Location: Chesapeake, VA Travel Allocation: 10-20% Clearance: Secret Duties ... Support the design, testing, and deployment of AI enabled or machine learning assisted tools ...

... Junior Data Scientist to support a multi-disciplinary team providing data analysis and ... Support development of analytics, machine learning and statistical models, and exploratory data ...

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Junior Machine Learning information

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$7

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$46

How much do junior machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for junior machine learning in Virginia is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $32.88 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
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 job categories do people searching Junior Machine Learning jobs in Virginia look for? The top searched job categories for Junior Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Junior Machine Learning jobs? Cities in Virginia with the most Junior Machine Learning job openings:
Junior AI/ML Engineer

Junior AI/ML Engineer

ManTech International

Arlington, VA • On-site

$83K - $139K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

General information
Requisition #
R68323
Locations
USA-VA-Arlington
Posting Date
06/02/2026
Security Clearance Required
Secret
Remote Type
Onsite
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
MANTECH seeks a motivated, career and customer-oriented Junior AI/ML Engineer to join our team. On site at the Pentagon.
Responsibilities include, but are not limited to:
  • Design, build, and maintain AI/ML lifecycle core services and products
  • Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment
  • Develop and implement infrastructure for training, validating, and deploying machine learning models
  • Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities
  • Build model serving platforms for efficient inference
  • Implement automated machine learning pipelines and MLOps practices for continuous integration and deployment (CI/CD) of models
  • Implement version control for models and datasets, and develop robust testing frameworks for AI/ML components

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline
  • 3+ years of software engineering experience with deep proficiency in Python
  • Proven experience operationalizing Machine Learning models in production environments
  • Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow.
  • Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime.
  • Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and DevOps practices including Terraform or Helm.

Preferred Qualifications:
  • Hands-on experience with Kubernetes and deploying containerized ML services
  • Experience working with feature stores
  • Experience utilizing Databricks or similar cloud-native ML tooling
  • Experience working with feature stores and distributed data frameworks (e.g., Spark).
  • Proficiency in model interpretation tools like SHAP or LIME.
  • Foundational understanding of linear algebra, calculus, and numerical computation to support algorithm optimization.

Clearance Requirements:
  • US Citizenship with a DoD Secret clearance.

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations

The projected compensation range for this position is $83,300.00-$139,800.00. 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, MANTECH invests in its employees beyond just compensation. MANTECH'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.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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