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Quantum Machine Learning Engineer Jobs in Delaware

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175.60K/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 ...

General Motors

Senior Fullstack/Frontend Engineer

Dover, DE · On-site

$144.70K - $261.30K/yr

You'll collaborate closely with product managers, backend engineers, machine-learning engineers, domain experts across Localization, Perception, and Simulation to deliver high-quality, user-centric ...

SynergisticIT

Junior Full-stack developer

Wilmington, DE

$65K - $84.40K/yr

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 ...

SynergisticIT

Full-Stack Devloper

Wilmington, DE

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 ...

Chase

Data Domain Architect Lead

Wilmington, DE

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 ...

Epic

Software Engineer

Wilmington, DE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Middletown, DE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Dover, DE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Newark, DE · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

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 ...

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 ...

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Quantum Machine Learning Engineer information

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$31.5K

$128.9K

$193.7K

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

As of Jun 2, 2026, the average yearly pay for quantum 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 are the key skills and qualifications needed to thrive as a Quantum Machine Learning Engineer, and why are they important?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do Quantum Machine Learning Engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

What is a Quantum Machine Learning Engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Delaware? For Quantum Machine Learning Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Delaware look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Delaware are:
What cities in Delaware are hiring for Quantum Machine Learning Engineer jobs? Cities in Delaware with the most Quantum Machine Learning Engineer job openings:
Quantum Machine Learning Engineer jobs near you
Principal Engineer - AI Platform

Principal Engineer - AI Platform

Berkley

Wilmington, DE • On-site

$131K - $175.60K/yr

Other

Posted 18 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.

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