Top 1040 Machine learning engineer Jobs in Ashburn, Va

Lead AI/ML Engineer
IP Network Solutions Inc. —Ashburn, VA
- From $175,000 a year
- Part-time
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Falls Church, VA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Software Developer - AI Trainer
DataAnnotation —Sterling, VA
- $50 - $100 an hour
- Contract
- Remote
- English
- Mid-level
- Bachelor's degree
- Flexible schedule
Principal Technical Risk Analyst - AI Technical Lead
Navy Federal Credit Union —Vienna, VA
- $150,100 - $206,450 a year
- Online Application
- Computer science
- Azure
- Computer Science
9d
Sr Databricks Data Engineer
Deloitte —McLean, VA
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
13d
AI and Data Science Engineer III
Deloitte —McLean, VA
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
8d
AI Engineer Senior
General Dynamics Information Technology —Chantilly, VA
- $127,500 - $172,500 a year
- Computer Science
- 5 years
- Engineering
- 401(k) matching
Applied Geospatial ML Engineer
Vantor —Herndon, VA
- $185,000 - $228,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- 401(k) matching
- Pet insurance
AI Sr. Developer (Secret Clearance Required)
Deloitte —Arlington, VA
- $107,600 - $198,400 a year
- Full-time
- Computer Science
- 5 years
- Travel
5d
Senior Data Scientist
Leidos —Chantilly, VA
- $154,050 - $278,475 a year
- Full-time
- Computer Science
- 11+ years
- Bachelor's degree
Senior Software Engineer / Data Scientist (Training Systems)
Leidos —Chantilly, VA
- $154,050 - $278,475 a year
- Full-time
- Computer Science
- System design
- 8 years
Sr Databricks Data Engineer
Deloitte —Arlington, VA
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
13d
Databricks Data Engineer
Deloitte —Arlington, VA
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
6d
Senior VDI Engineer
General Dynamics Information Technology —Springfield, VA
- $125,800 - $170,200 a year
- 5 years
- Bachelor of Science
- System design
- Paid time off
- 401(k) matching
8d
Cloud Engineer
Leidos —Bethesda, MD
- $107,900 - $195,050 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Flexible schedule
13d
Databricks Data Engineer
Deloitte —McLean, VA
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
6d
Cloud Security Engineer
General Dynamics Information Technology —Falls Church, VA
- $111,155 - $150,385 a year
- Mid-level
- 3 years
- Continuous improvement
- Paid time off
- 401(k) matching
Senior Cloud Cybersecurity Engineer
Leidos —Bethesda, MD
- $131,300 - $237,350 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
- Paid holidays
- Paid time off
2d
Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Software Engineer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule

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Lead AI/ML Engineer

IP Network Solutions Inc.
Ashburn, VA

Quick Apply

Job Details

Part-time
From $175,000 a year

Qualifications

AI models
Containerization systems
Top Secret Clearance
Software engineering
Data transformation pipeline development
Team leadership
AI platforms (beyond public GPTs)
Master's degree
Databases
Machine learning cloud services
Machine intelligence
Docker
Bachelor's degree
Model deployment
SDKs
Azure Machine Learning
APIs
Cloud Architecture Design (Architecture design skills)
DevOps automation
Machine learning libraries
AI
Project leadership
Machine learning frameworks
MLOps
Stakeholder management

Full Job Description

IP Network Solutions an IT Solutions and Government Contracting company is seeking a Lead AI/ML Engineer to lead the design and development of AI models, optimizing inference pipelines for performance, accuracy, and ethical compliance for our US Customs & Border Protection customer.

Location: Ashburn, VA

Hybrid / On-site as required (CBP operational environment)
Must be eligible to support U.S. CBP systems

Employment Type

Full-Time

Clearance Requirement

Top Secret (ability to obtain required DHS/CBP suitability check as well)

Position Overview

IP Network Solutions (IPNS) is seeking a Lead AI/ML Engineer to design, develop, and deploy a mission-critical, operationally ready artificial intelligence and machine learning solution in support of U.S. Customs and Border Protection (CBP). This role will lead technical architecture, model development, and production deployment of AI/ML capabilities that enhance CBP’s operational effectiveness, situational awareness, and decision-making across mission environments.

The Lead AI/ML Engineer will bridge data science, software engineering, and operational requirements, ensuring solutions are secure, scalable, explainable, and compliant with DHS, CBP, and federal AI governance standards.

Key ResponsibilitiesTechnical Leadership

Serve as the technical lead for AI/ML solution development, from concept through operational deployment and sustainment
Translate CBP mission needs and operational use cases into scalable AI/ML architectures
Lead model selection, training, evaluation, and optimization for real-world mission performance
Establish best practices for MLOps, CI/CD pipelines, model monitoring, and lifecycle management

AI/ML Development & Deployment

Design and implement machine learning, deep learning, and/or NLP models supporting CBP operational missions
Develop data pipelines for structured and unstructured data ingestion, labeling, feature engineering, and model training
Ensure models are production-ready, performant, and resilient in constrained or high-availability environments
Implement explainability, bias mitigation, and model validation to support trustworthy AI

Security, Compliance & Governance

Ensure AI/ML solutions comply with DHS, CBP, NIST, and federal cybersecurity frameworks (e.g., NIST SP 800-53, RMF)
Support Authority to Operate (ATO) activities by providing technical documentation, security artifacts, and risk mitigation strategies
Incorporate privacy-by-design and data protection controls consistent with federal requirements
Support Responsible AI practices aligned with DHS AI Strategy and OMB guidance

Collaboration & Stakeholder Engagement

Collaborate with CBP stakeholders, product owners, analysts, and operational users to refine requirements
Mentor junior engineers and data scientists across AI/ML and software engineering disciplines
Coordinate with cybersecurity, cloud, and systems engineering teams to ensure seamless integration
Provide technical briefings and demonstrations to government leadership and program stakeholders

Required QualificationsEducation & Experience

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s preferred)
8+ years of experience in software engineering or data science, with 5+ years focused on AI/ML
2+ years in a technical lead or architect role supporting enterprise or mission systems

Technical Skills

Strong proficiency in AI Technology: Vertex AI Gemini 3, google-cloud-AIplatform SDK Scikit-learn)
Experience with cloud-based AI/ML services (AWS, Azure, or GCP), preferably in government environments
Hands-on experience with MLOps, containerization (Docker), and orchestration (Kubernetes)
Experience developing APIs and integrating AI/ML models into operational systems
Knowledge of data engineering tools, databases, and data pipelines

Federal / Mission Experience

Experience supporting federal civilian agencies, DHS, DoD, or law enforcement organizations preferred
Familiarity with CBP operational missions, border security, trade, or enforcement analytics is a strong plus
Experience supporting ATO processes and operating in regulated federal environments

Preferred Qualifications

Master’s in AI, Machine Learning, Data Science, or related field
Experience with computer vision, NLP, anomaly detection, or predictive analytics
Knowledge of Zero Trust architectures and secure AI system design
Prior experience delivering AI systems from prototype to fielded operational capability

Key Competencies

Mission-focused problem solving
Technical leadership and mentorship
Strong communication with technical and non-technical stakeholders
Ability to deliver under regulatory and operational constraints
Commitment to ethical, explainable, and responsible AI

Why IP Network Solutions (IPNS)

At IPNS, you will work on high-impact national security and border protection missions, delivering cutting-edge AI/ML solutions that directly support CBP operators and decision-makers. This role offers the opportunity to shape AI capabilities from inception to operational deployment in a real-world federal mission environment.

Job Type: Part-time

Pay: From $175,000.00 per year

Application Question(s):

Do you have experience working with MLOps, containerization (Docker), and orchestration (Kubernetes)?

Security clearance:

Top Secret (Required)

Work Location: Hybrid remote in Ashburn, VA

Quick Apply

Refine Your Search

machine learning engineer jobs in ashburn, va

Lead AI/ML Engineer

Backend Software Engineer - AI Trainer

Software Developer - AI Trainer

Principal Technical Risk Analyst - AI Technical Lead

Sr Databricks Data Engineer

AI and Data Science Engineer III

AI Engineer Senior

Applied Geospatial ML Engineer

AI Sr. Developer (Secret Clearance Required)

Senior Data Scientist

Senior Software Engineer / Data Scientist (Training Systems)

Sr Databricks Data Engineer

Databricks Data Engineer

Senior VDI Engineer

Cloud Engineer

Databricks Data Engineer

Cloud Security Engineer

Senior Cloud Cybersecurity Engineer

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

Software Engineer - AI Trainer

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