Top 105 Machine learning engineer entry level Jobs in Mclean, Va

Federal AI Solutions Engineer (Entry Level)
A-TEK Inc. —McLean, VA
- $85,000 - $105,000 a year
- Hybrid work
- Computer Science
- Databases
- Analysis skills
- Paid holidays
- Health insurance
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Junior Systems Engineer
Arcfield —Chantilly, VA
- $75,347.21 - $126,828.83 a year
- Full-time
- Bachelor of Science
- Mid-level
- Analysis skills
- Paid holidays
- Disability insurance
Mechanical Engineer I
QinetiQ US —Fort Belvoir, VA
- $70,000 - $90,000 a year
- Email
- Research
- Analysis skills
- 1 year
Software Engineer (Linux)
Lockheed Martin Corporation —Manassas, VA
- Full-time
- No experience needed
- Mid-level
- Office
- Paid jury duty
- Paid holidays
Machine Learning Engineer
Somatus, Inc. —McLean, VA
- $105,000 - $115,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
- Continuing education credits
- Health insurance
Mechanical Engineer - Multiple Levels (Engineer Mechanical)
HII —Alexandria, VA
- $96,325 - $192,801 a year
- Email
- Mid-level
- Master's degree
- Analysis skills
- Paid holidays
- Health insurance
Web Application Architect 1– Machine Learning
Bloomberg BNA —Arlington, VA
- $110,000 - $140,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
1d
Systems Engineer - JobID-0196
Innovative Defense Technologies —Arlington, VA
- $74,000 - $184,000 a year
- Full-time
- Hybrid work
- Office
- Java
- Analysis skills
- Commuter assistance
- Paid holidays
Quick Apply
Jr Data Engineer
Everforth ECS —Fairfax, VA
- $104,764 - $125,717 a year
- Hybrid work
- Computer Science
- Office
- Finance
6d
Associate Data Scientist
Quantifind —Washington, DC
- $100,000 - $130,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid time off
- 401(k) matching
Front End Development Engineer, Automation Integration Technologies
Amazon.com Services LLC —Arlington, VA
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Mid-level
- AWS
- AD&D insurance
- Health insurance
8d
R&D Systems Engineer
KBR —Chantilly, VA
- Full-time
- Microsoft Excel
- Data analysis skills
- Mid-level
- AD&D insurance
- Health insurance
Engineer I, Data Platforms
AARP —Washington, DC
- $97,200 - $108,000 a year
- Computer science
- Computer Science
- Salesforce
- Paid holidays
- Health insurance
6d
Data Analytics Platform Engineer
Booz Allen Hamilton —Arlington, VA
- $77,600 - $176,000 a year
- Full-time
- Mid-level
- Office
- Windows
- Disability insurance
- Health insurance
Generative AI Deployment Engineer
Lockheed Martin Corporation —Manassas, VA
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
- Paid jury duty
- Paid holidays
ServiceNow Administrator/Jr Developer
QinetiQ US —Chantilly, VA
- $85,000 - $135,000 a year
- Email
- Computer Science
- Mid-level
- Master's degree
Electrical Engineer (Engineer Electrical 2)
HII —Alexandria, VA
- $80,748 - $125,000 a year
- Email
- Mid-level
- Master's degree
- Bachelor's degree
- Paid holidays
- Health insurance
Palantir Foundry Ontology Engineer, Junior
Booz Allen Hamilton —McLean, VA
- $69,400 - $158,000 a year
- Full-time
- Computer Science
- Engineering
- Office
- Disability insurance
- Health insurance
Cloud Software Engineer – AI/ML Project Top Secret/SCI w/Poly
Peraton —Laurel, MD
- $104,000 - $166,000 a year
- Computer Science
- Software troubleshooting
- Mid-level
- Health savings account
- Paid holidays
Cloud Administrator – AI/ML TS/SCI w Poly
Peraton —Laurel, MD
- $146,000 - $234,000 a year
- Computer Science
- Engineering
- System design
- Health savings account
- Paid holidays

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machine learning engineer entry level jobs near mclean, va

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc. -
McLean, VA

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Job Details

$85,000 - $105,000 a year

Benefits

Paid holidays
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching

Qualifications

AI models
Containerization systems
RESTful API
Generative models
Git
Databases
Machine intelligence
Version control systems
Developing data pipelines
Python
Generative AI

Full Job Description

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

Assist in the design, development, and deployment of AI-powered applications and prototypes using:
- AWS Bedrock
- Azure OpenAI
- LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

Build and maintain cloud-based environments in AWS and Azure.
Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
Support containerized deployments using ECS, EKS, or AKS.
Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
Assist in developing reusable templates, accelerators, and reference architectures.
Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

Support implementation of solutions that align with:
- NIST AI Risk Management Framework (AI RMF)
- FedRAMP requirements
- Zero Trust principles
- Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

0–2 years of professional software engineering, AI/ML, or cloud development experience.
Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

Foundational understanding of machine learning, generative AI, and large language models.
Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
Familiarity with:
- REST APIs
- Git version control
- Containerization concepts
- Data pipelines and databases
Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

Academic or project experience with:
- LangChain
- LlamaIndex
- Semantic Kernel
- CrewAI
Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
Experience building AI, machine learning, or cloud-based capstone projects.
Familiarity with DevOps, MLOps, or CI/CD concepts.
Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 – $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

Medical, Dental, and Vision Insurance
401(k) with Employer Match
Paid Time Off and Federal Holidays
Professional Development and Certification Reimbursement
Career Growth and Mentorship Opportunities

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.

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Refine Your Search

machine learning engineer entry level jobs in mclean, va

Federal AI Solutions Engineer (Entry Level)

Junior Systems Engineer

Mechanical Engineer I

Software Engineer (Linux)

Machine Learning Engineer

Mechanical Engineer - Multiple Levels (Engineer Mechanical)

Web Application Architect 1– Machine Learning

Systems Engineer - JobID-0196

Jr Data Engineer

Associate Data Scientist

Front End Development Engineer, Automation Integration Technologies

R&D Systems Engineer

Engineer I, Data Platforms

Data Analytics Platform Engineer

Generative AI Deployment Engineer

ServiceNow Administrator/Jr Developer

Electrical Engineer (Engineer Electrical 2)

Palantir Foundry Ontology Engineer, Junior

Cloud Software Engineer – AI/ML Project Top Secret/SCI w/Poly

Cloud Administrator – AI/ML TS/SCI w Poly

I want to receive the latest job alert for machine learning engineer entry level in mclean, va

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