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Executive Full Stack Machine Learning Engineer Jobs in Virginia Beach, VA

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Full Stack Developer

Norfolk, VA · On-site

$96K - $149K/yr

Full Stack Developer Location: Norfolk, VA (On-site at NATO HQ SACT) Employment Type: Full-time, contractor support Security Clearance: Active/eligible for NATO or National SECRET (or higher ...

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Executive Full Stack Machine Learning Engineer information

See Virginia Beach, VA salary details

$42.2K

$127.9K

$180.8K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for executive full stack machine learning engineer in Virginia Beach, VA is $127,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $149,900.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

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

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

What cities near Virginia Beach, VA are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities near Virginia Beach, VA with the most Executive Full Stack Machine Learning Engineer job openings:

Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

AI Developer - Model Creation & Full Stack with Security Clearance

ECS

Hampton, VA • On-site

$130K - $145K/yr

Other

Re-posted 17 days ago


Job description

Job Description Everforth ECS is seeking an AI Developer to work remotely . Everforth ECS is seeking a highly skilled AI Developer with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack. Key Responsibilities: * AI/ML Model Development * Design, build, fine tune and train machine learning and deep learning models using Python. * Perform data preprocessing, feature engineering, and model optimization. * Evaluate models using domain appropriate metrics and improve performance iteratively. * Deploy custom models to production environments (cloud/on-premises) using MLOps best practices. * Full-Stack Development * Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models. * Build responsive and user-friendly front-end interfaces for AI-powered applications. * Integrate AI models into web and mobile applications. * Ensure scalability, security, and performance of deployed solutions. * Collaboration & Documentation * Work closely with data scientists, developers, frontend developers, and product managers. * Document model architectures, APIs, and deployment processes. * Participate in code reviews and maintain high coding standards. Salary Range: $130,000 - $145,000 Required Skills * Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. * Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check. * 3+ years of experience in AI/ML development and full-stack application building. * Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). * Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js). * Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks * Experience with databricks * DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). * General knowledge of Geospatial technology * Version Control: Proficiency with GitHub workflows. * Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms. * Knowledge of data visualization tools (Matplotlib, Plotly, D3.js). * Familiarity with microservices architecture. * Prior experience in AI product development from concept to deployment. Desired Skills * Languages: Python, JavaScript/TypeScript * AI/ML: TensorFlow, PyTorch, scikit-learn * Backend: FastAPI, Flask, Django, ESRI ArcGIS tool, Geopandas/Paneas, Shapely. Asynchronous programming (aiohttp, asyncio) * Frontend: React.js, Next.js * Cloud: AWS Bedrock, GCP AI Platform, Azure ML * Tools: Docker, Kubernetes, GitHub Actions #EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees . Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!