1

Contract Machine Learning Engineer Jobs in Virginia Beach, VA

ENGINEER FACILITIES 2

Newport News, VA · On-site

$78K - $98K/yr

Prepares bid sheets and contracts for construction and facilities acquisition. Reviews and ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

ENGINEER FACILITIES 2

Newport News, VA · On-site

$78K - $98K/yr

Prepares bid sheets and contracts for construction and facilities acquisition. Reviews and ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

ENGINEER FACILITIES 2

Newport News, VA · On-site

$78K - $98K/yr

Prepares bid sheets and contracts for construction and facilities acquisition. Reviews and ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Showing results 41-60

Contract Machine Learning Engineer information

See Virginia Beach, VA salary details

$29.1K

$118.8K

$178.6K

How much do contract machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for contract machine learning engineer in Virginia Beach, VA is $118,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Virginia Beach, VA?

The most popular types of Machine Learning Engineer jobs in Virginia Beach, VA are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Virginia Beach, VA?

For Contract Machine Learning Engineer jobs in Virginia Beach, VA, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Engineer jobs in Virginia Beach, VA look for?

The top searched job categories for Contract Machine Learning Engineer jobs in Virginia Beach, VA are:

What cities near Virginia Beach, VA are hiring for Contract Machine Learning Engineer jobs?

Cities near Virginia Beach, VA with the most Contract Machine Learning Engineer job openings:

Infographic showing various Contract Machine Learning Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 21% Contract, and 3% Nights. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $115,137 per year, or $55.4 per hour.

Artificial Intelligence & Cloud Engineer

CACI International, Inc.

Norfolk, VA • On-site

$98K - $206K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Job description

Job Title: Artificial Intelligence & Cloud Engineer
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
* * *
The Opportunity:
We are seeking an AI and Cloud Engineer to design, build, and scale our next-generation intelligent systems. In this role, you will bridge the gap between advanced artificial intelligence and robust cloud infrastructure. You will be part of a team responsible for architecting complex multi-agent flows, implementing enterprise-grade retrieval systems, and ensuring the secure deployment of AI workloads in cloud in systems that will grow to serve approximately 40,000 users. The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies.
Responsibilities:
  • Architect and implement scalable multi-agent systems using advanced routing and hierarchical design patterns.
  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems.
  • Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure.
  • Deploy, secure, and monitor AI applications and microservices within cloud environments.
  • Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products.
  • Establish and enforce security best practices for large language model implementations and data privacy.

Qualifications Required
Experience and Education
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience, with at least 2 years dedicated to production AI, ML, or NLP development.

Technical Skills
  • Proven experience building multi-agent systems using frameworks like LangGraph, AutoGen, or equivalent tools.
  • Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.
  • Strong programming proficiency in a programing language similar to Python, and experience building robust RESTful APIs.
  • Hands-on experience deploying and managing cloud services within AWS or OCI.
  • Proficiency working with Linux operating systems and command-line interfaces.
  • Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques.

Security and Compliance
  • Active Secret Security Clearance.
  • Current CompTIA SEC+ Certificate, or higher.
  • Experience proven knowledge of security best practices for AI systems, including model guardrails and secure data handling.

Professional Attributes
  • Experience working in an Agile development environment across cross-functional teams.
  • Strong problem-solving abilities and a track record of rapidly learning and adopting emerging AI disciplines.

Preferred Qualifications
  • Experience with NAVSEA Cyber RMF Processes and System Security Hardening.
  • Familiarity with secondary languages such as Rust, Go, or JavaScript for system optimization.
  • Relevant industry recognized Cloud certifications, such as AWS Certified Machine Learning - Specialty or OCI AI credentials.
  • Experience with open-source LLM evaluation and observability frameworks.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$98,500-$206,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.