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Contract Machine Learning Engineer Jobs in Delaware

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 ...

JPMorganChase

Data Domain Architect Lead

Wilmington, DE · On-site

... Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis • Partner with leads in Data Science, Engineering, and Analytics to ...

ClifyX

GenAI Engineer

Wilmington, DE · On-site

ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications.

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 JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Delaware

Contract Machine Learning Engineer information

See Delaware salary details

$31.5K

$128.9K

$193.7K

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

As of Aug 11, 2026, the average yearly pay for contract machine learning engineer in Delaware is $128,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $155,100.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

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 Contract Machine Learning Engineer jobs in Delaware? For Contract Machine Learning Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Engineer jobs in Delaware look for? The top searched job categories for Contract Machine Learning Engineer jobs in Delaware are:
What cities in Delaware are hiring for Contract Machine Learning Engineer jobs? Cities in Delaware with the most Contract Machine Learning Engineer job openings:
Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,880 per year, or $62 per hour.

Principal Engineer - AI Platform

Berkley

Wilmington, DE • On-site

$131K - $175K/yr

Full-time

Re-posted 28 days ago

Job description

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.  


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.

  • 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. 


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