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Junior Machine Learning Engineer Jobs in Delaware

Berkley

Principal Engineer - AI Platform

Wilmington, DE

$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 ...

Diverse Lynx

AI ML Software Engineer

Wilmington, DE · On-site

... machine learning models in production. • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. • Experience with machine ...

Chase

Data Domain Architect Lead

Wilmington, DE · On-site

Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models * Lead efforts to identify patterns and trends in ...

Athena LLC

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 ...

Athenago

AI Engineering Intern

Wilmington, DE

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 ...

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

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All JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Delaware

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 Jun 27, 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 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 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 engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 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 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.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

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.

More about Junior Machine Learning Engineer jobs
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 job categories do people searching Junior Machine Learning Engineer jobs in Delaware look for? The top searched job categories for Junior Machine Learning Engineer jobs in Delaware 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:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Delaware as of June 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,861 per year, or $34.5 per hour.
Principal Engineer - AI Platform

Principal Engineer - AI Platform

Berkley

Wilmington, DE

$131K - $175K/yr

Other

Posted 14 days ago

Job description

Company Details

Company URL: https://www.berkleytechnologyservices.com/                                        

Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC's 60+ operating units across the globe. BTS's wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.  

Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond.  

With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry-leading technological solutions.  

 

Berkley Technology Services: Right Team, Right Technology, Simple and Secure.  

Responsibilities

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications. This role works closely with data scientists, software engineers, and product managers to develop scalable solutions that enhance the efficiency, reliability, and performance of our AI systems.

  • Design and develop scalable AI platforms to support various machine learning and deep learning models.
  • Collaborate with data scientists to understand model requirements and optimize infrastructure accordingly.
  • Implement and maintain data pipelines, model deployment strategies, and monitoring systems.
  • Ensure high availability and reliability of AI services through effective troubleshooting and performance tuning.
  • Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and small/secure web front ends.
  • Design and implement database schemas and queries for relational, NoSQL and Graph databases 
  • Integrate with third-party services, including Kafka, Entra ID,  
  • Collaborate with the frontend team to integrate frontend and backend systems seamlessly 
  • Ensure the scalability, reliability, and security of backend systems 
  • Troubleshoot and debug issues as they arise 
  • Write optimized code and provide innovative solutions to complex problems 
  • Stay updated with industry trends and emerging technologies
  • Stay current with the latest advancements in AI and machine learning technologies and incorporate them into the platform.
  • Automate repetitive tasks and improve platform efficiency through scripting and configuration management tools.
  • Provide technical guidance and support to other teams regarding AI platform usage and best practices.
  • Document platform architecture, workflows, and procedures for future reference and scalability.
Qualifications
  • 10+ years progressive engineering experience developing/engineering solutions and leading multiple large-scale data-domain or cross-domain engineering initiatives.
  • Proven experience in building and maintaining AI or machine learning platforms.
  • Strong knowledge of programming languages such as Python, R, and/or Java.
  • Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
  • Experience in optimizing code and Infrastructure for large data set manipulation
  • Excellent knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, and/or CosmosDB
  • Excellent knowledge of modern Vector and Graph databases
  • Excellent knowledge of Redis cache or other similar solutions
  • Experience with version control systems like Git and GitLab and Agile development methodologies
  • Excellent understanding NLP, and AI/ML design and implementation concepts 
  • Excellent understanding of REST APIs, API Gateways and SPAs
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Excellent knowledge of data storage solutions and database management systems.
  • Proficiency in object-relational mapping (ORM), advanced algorithms, data structures, object-oriented and functional design principles, and best-practice patterns.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn
  • Multiple years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, unmanaged Kafka, etc.).
  • Experience with Master Data Management (MDM) systems and processes.
  • Experience with Data Loss Prevention (DLP), encryption/redaction strategies, etc. for protecting PII/sensitive data.
  • Good understanding of Processor architecture and ability to work with providers to map use cases to appropriate platforms
  • Bachelors Degree in Computer Science, Information Technology, Information Systems, or a related discipline. Equivalent experience and/or alternative qualifications will be considered.
  • 10%-20% of Travel Required.
 Preferred Qualifications
  • Advanced degree in computer science, data science, AI, or related field.
  • Experience with big data technologies (Hadoop, Spark).
  • Experience with reinforcement learning, generative AI, or autonomous systems.
  • Knowledge of MLOps practices and tools.
  • Knowledge of insurance-specific AI applications.
  • Hands-on experience working with AI/ML as a Data Scientist.
  • Experience in deploying machine learning models in production environments.
  • Understanding of distributed systems and microservices architecture.

The Company is an equal employment opportunity employer. 

Employment Type: OTHER

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