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Junior Machine Learning Engineer Jobs in Delaware

Sr. Software Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Preferred : • Bachelor's degree in Computer Science, Engineering, or related field. • Experience with serverless computing and cloud security best practices. • Exposure to machine learning or ...

# Reliability Engineer - Vibration직무 유형 경력Postal Code 19805 Wilmington, Delaware직무 ID ... machine learning applications.Evaluate emerging technologies and determine applicability for ...

Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production. * Proficiency in programming languages like Python ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... Engineering. * 5+ years' experience in creating predictive models, and generative AI solutions ...

Showing results 41-60

Junior Machine Learning Engineer information

See Delaware salary details

$33.5K

$71.9K

$109.6K

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

As of Aug 21, 2026, the average yearly pay for junior machine learning engineer in Delaware is $71,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,100.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning Engineer jobs in Delaware?

The most popular types of Machine Learning Engineer jobs in Delaware are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Delaware?

For Junior Machine Learning Engineer jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Junior Machine Learning Engineer jobs?

Cities in Delaware with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $71,861 per year, or $34.5 per hour.

Sr. Software Engineer

Ampcus Inc

Wilmington, DE • On-site

$118K - $156K/yr

Full-time

Posted 22 days ago


Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are seeking a highly skilled Software Engineer with expertise in Java, Python, and AWS to design, develop, and deploy scalable applications while leveraging cloud technologies to deliver efficient and secure solutions.
Responsibilities:
• Develop and maintain backend services using Java and Python.
• Design and implement cloud-native applications on AWS.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Optimize application performance, scalability, and reliability.
• Ensure best practices in coding standards, testing, and deployment.
• Troubleshoot, debug, and upgrade existing systems.
• Work with DevOps teams to automate CI/CD pipelines on AWS.
Qualifications:
Required:
• Strong proficiency in Java and Python programming languages.
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, etc.).
• Knowledge of RESTful APIs, microservices architecture, and containerization (Docker/Kubernetes).
• Familiarity with version control systems (Git) and agile methodologies.
• Problem-solving mindset with strong analytical skills.
Preferred:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Experience with serverless computing and cloud security best practices.
• Exposure to machine learning or data engineering frameworks is a plus.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004