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Entrylevel Machine Learning Engineer Jobs in Newark, DE

VDart

AI/ML Lead Engineer

Chester, PA

$98K - $130K/yr

Role Overview We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ...

Celanese

Digital Innovation Engineer

Wilmington, DE · On-site

Celanese Engineered Materials is seeking an Engineer, Digital Innovation - Predictive Modeling ... Develop and apply predictive and hybrid machine learning approaches for the prediction of ...

Athenago

AI Engineering Intern

Wilmington, DE · On-site

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Ampcus

Sr. Software Engineer

Wilmington, DE

$118K - $156K/yr

Exposure to machine learning or data engineering frameworks is a plus. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to ...

SAP

SAP NS2 AI Consultant Specialist

Newtown Square, PA · On-site

$63.75 - $83.25/hr

Proven experience in developing and optimizing machine learning models * Strong competence with various tools, procedures, and programming languages relevant to machine learning and AI, such as ...

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All JobsEntrylevel Machine Learning Engineer JobsEntrylevel Machine Learning Engineer Jobs in Newark, DE

Entrylevel Machine Learning Engineer information

See Newark, DE salary details

$30.8K

$125.9K

$189.2K

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

As of Jun 9, 2026, the average yearly pay for entrylevel machine learning engineer in Newark, DE is $125,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

What cities near Newark, DE are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Newark, DE with the most Entrylevel Machine Learning Engineer job openings:
Entrylevel Machine Learning Engineer jobs near you

AI/ML Lead Engineer

VDart

Chester, PA

$98K - $130K/yr

Other

Posted 23 days ago

Job description

Position: ML Engineer with python and AI
Location: Chester , PA -onsite
Duration: Contract
JD:
Role Overview
We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ML pipelines, building GenAI applications, and deploying models using cloud-based MLOps platforms. Experience in the Telecom BSS/OSS domain is preferred.
Key Responsibilities
• Develop and deploy Machine Learning and Generative AI solutions for enterprise applications.
• Build end-to-end ML pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Develop LLM-powered applications using frameworks such as OpenAI, LangChain, Hugging Face, or LlamaIndex.
• Design and manage data pipelines using SQL, Pandas, Databricks, Data Lakes, and NoSQL databases.
• Implement MLOps workflows including model versioning, CI/CD pipelines, and containerization.
• Deploy and manage ML workloads on AWS SageMaker, Azure ML, or GCP AI Platform.
• Build REST APIs or backend services using frameworks like Flask or FastAPI to integrate AI models into applications.
• Collaborate with business stakeholders to develop AI solutions for Telecom BSS/OSS use cases.
Required Skills and experience-
• Strong expertise in Python and Machine Learning frameworks.
• Experience with data engineering pipelines and cloud-based ML deployments.
• Knowledge of MLOps practices including Git, Docker, and CI/CD pipelines.
• Working knowledge of backend development for AI services.
• Experience with Generative AI and LLM-based applications

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