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Machine Learning Engineer Jobs in Newark, DE (NOW HIRING)

In this role, you will design, develop, and deploy machine learning models and large language ... Strong programming skills in Python. * Experience with machine learning frameworks (e.g ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

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

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud ...

AI Software Engineer - Java

Aberdeen, MD · On-site

$130K - $160K/yr

Collaborate with data engineers, AI/ML engineers, and system architects to integrate machine learning models into operational Java applications. * Support software interfaces with AI/ML frameworks ...

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Machine Learning Engineer information

See Newark, DE salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for 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 are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
What are the most commonly searched types of Machine Learning Engineer jobs in Newark, DE? The most popular types of Machine Learning Engineer jobs in Newark, DE are:
What are popular job titles related to Machine Learning Engineer jobs in Newark, DE? For Machine Learning Engineer jobs in Newark, DE, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Newark, DE look for? The top searched job categories for Machine Learning Engineer jobs in Newark, DE are:
What cities near Newark, DE are hiring for Machine Learning Engineer jobs? Cities near Newark, DE with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Newark, DE as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $125,890 per year, or $60.5 per hour.
ML and ML Ops engineer

ML and ML Ops engineer

E-Solutions

Wilmington, DE

Other

Posted 23 days ago


Job description

ML and ML Ops engineer
Delaware or New Jersey( Report to work) Hybrid

Job description
We are looking for a talented ML / LLM Engineer with deep expertise in AWS technologies to join our innovative team. In this role, you will design, develop, and deploy machine learning models and large language models (LLMs) that deliver impactful business solutions. You will collaborate closely with cross-functional teams to define use cases and ensure that machine learning solutions integrate seamlessly into our existing systems.
Required Skills:
  • Proven experience as an ML Engineer or LLM Engineer, particularly with AWS platforms.
  • Proficiency in AWS services for machine learning, including Amazon SageMaker and AWS Lambda.
  • Strong programming skills in Python.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and natural language processing techniques.
  • Familiarity with data preprocessing, feature engineering, and model evaluation methods.
  • Excellent analytical and problem-solving skills with attention to detail.
Bonus Skills:
  • Experience with deploying and maintaining AI/ML models in production environments.
  • Knowledge of MLOps practices and CI/CD pipelines.
  • Understanding of ethical considerations in AI and machine learning.