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Executive Full Stack Machine Learning Engineer Jobs in Newark, DE

NET full stack development (WPF a plus); comfortable in complex, multi-component systems * Strong ... Experience with cybersecurity, cloud computing, or deep learning is a plus So why join Hologic? We ...

New

Lead Software Engineer, Full Stack

Newark, DE · On-site +1

$128K - $200K/yr

NET full stack development (WPF a plus); comfortable in complex, multi-component systems * Strong ... Experience with cybersecurity, cloud computing, or deep learning is a plus So why join Hologic? We ...

New

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Sr Java Full Stack Developer

Wilmington, DE · On-site

$51 - $65.75/hr

Job Title: Sr Java Full Stack Developer Location: Wilmington, DE Duration: 2+ years Required ... Nice To Have KEY SKILLS - Need a Distributed Systems Engineer with CQRS (Command Query ...

Showing results 41-60

Executive Full Stack Machine Learning Engineer information

See Newark, DE salary details

$43.5K

$131.8K

$186.2K

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

As of Aug 21, 2026, the average yearly pay for executive full stack machine learning engineer in Newark, DE is $131,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $154,500.00 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 are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Newark, DE?

For Executive Full Stack Machine Learning Engineer jobs in Newark, DE, the most frequently searched job titles are:

Full Stack Developer with Security Clearance

Legacy Consulting Services , LLC

Aberdeen Proving Ground, MD • On-site

Other

Re-posted 5 days ago


Job description

Full Stack Developer Key Responsibilities
Architect, design, and develop a new client-server web application based on an existing Java application. Develop and maintain both the front-end and back-end components of the web application. Collaborate with the development teams, product managers, stakeholders, and designers, to define and implement new features. Write clean, efficient, and well-documented code. Ensure the application is scalable, secure, and performs optimally. Troubleshoot and debug issues across the entire application stack. Stay up-to-date with the latest industry trends and technologies to ensure the application remains modern and competitive. Required Skills and Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 5+ years experience as a Full Stack Developer or similar role. Strong proficiency in Java and experience with Java-based web frameworks (e.g., Spring Boot, Vaadin, or Jakarta EE). Expertise in front-end technologies, including HTML, CSS, and JavaScript. Experience with modern front-end frameworks such as React, Angular, or Vue.js. Solid understanding of client-server architecture and web protocols (HTTP, REST). Experience with databases, both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB). Familiarity with version control systems, such as Git. Excellent problem-solving and communication skills. Preferred Qualifications
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization technologies like Docker and Kubernetes. Experience with CI/CD pipelines and DevOps practices. Experience with WebSocket for real-time communication. Minimum Secret Clearance, with the ability to obtain a SCI