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

Parsons Services Company

AI/ML Engineer

Aberdeen, MD · On-site

Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence ... Collaborates with data scientists, software engineers, product owners, and business stakeholders to ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence ... Collaborates with data scientists, software engineers, product owners, and business stakeholders to ...

Parsons

AI/ML Engineer

Aberdeen, MD · On-site

Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence ... Collaborates with data scientists, software engineers, product owners, and business stakeholders to ...

Varsity Tutors

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 ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Berkley

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 ...

Berkley

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 ...

Berkley

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 ...

Techximius

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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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Newark, DE

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 Aug 20, 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 is a machine learning engineer?

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 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 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 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.

More about Machine Learning Engineer jobs

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:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Newark, DE as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,890 per year, or $60.5 per hour.

AI/ML Engineer

Parsons Services Company

Aberdeen, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.
What You'll Be Doing:
  • Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.
  • Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.
  • Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.
  • Develops and maintains data pipelines, feature engineering processes, and model training workflows.
  • Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.
  • Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.
  • Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.
  • Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.
  • Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.
  • Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.
  • Documents model architecture, assumptions, performance metrics, and deployment procedures.
  • Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.
  • Performs other responsibilities associated with this position as may be appropriate.

What Required Skills You'll Bring:
  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.
  • 5+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.
  • Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.
  • Experience developing and deploying machine learning models in production environments.
  • Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.
  • Knowledge of MLOps practices, CI/CD pipelines, model monitoring, and deployment automation.
  • Experience working with structured and unstructured data sources and large-scale datasets.
  • Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to work effectively under pressure and manage multiple priorities.
  • Advanced written and verbal communication skills.
  • Proficiency in Microsoft Office applications.
  • Advanced time management and organizational skills.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.

What Desired Skills You'll Bring:
  • Experience deploying AI/ML solutions in enterprise or production environments preferred.
  • AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.
  • Generative AI, LLM, or MLOps certifications preferred.
  • A SECRET Clearance (or higher is preferred)

Security Clearance Requirement:
None
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $103,500.00 - $181,100.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
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