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Natural Language Processing Jobs in Delaware (NOW HIRING)

Bancorp Bank

$150 - $200/hr

... learning, natural language processing, document intelligence, generative AI, agentic workflows, and data-driven decision making to high-value business processes. This position serves as the ...

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Senior Automation & Controls Engineer

Wilmington, DE

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and support automation for flexible, experimental process systems, requiring frequent ... Familiarity with natural language query (NLQ) and AI-enabled analytics platforms. * Proficiency ...

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$14

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$48

How much do natural language processing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for natural language processing in Delaware is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are popular job titles related to Natural Language Processing jobs in Delaware?

For Natural Language Processing jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Delaware look for?

The top searched job categories for Natural Language Processing jobs in Delaware are:

What cities in Delaware are hiring for Natural Language Processing jobs?

Cities in Delaware with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $53,032 per year, or $25.5 per hour.

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank, The

Wilmington, DE • Hybrid

$100K - $132K/yr

Full-time

Re-posted 20 days ago

Job description

Position Summary

Work Arrangement:

***This position is available as a hybrid position in our Wilmington, DE office.***

At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.

Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.

The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.

Key Responsibilities
  • Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  • Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  • Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  • Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  • Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  • Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  • Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  • Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  • Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  • Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  • Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  • Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  • Performs other duties as assigned.
  • No travel required.
    • Qualification Requirements

    Education / Experience Requirements

    • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
    • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
    • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
    • Proven ability to lead complex, cross-functional technology initiatives.
    • Experience integrating AI capabilities into operational workflows and automation platforms.
    • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

    Preferred Qualifications

    • Advanced degree (Master's or PhD) in AI, Data Science, or related discipline.
    • Experience with NLP, document intelligence, and predictive modeling techniques.
    • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
    • Familiarity with enterprise AI governance frameworks and model lifecycle management.
    • Strong understanding of cloud-based AI architecture and API-driven integrations.
    • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
    • Experience building or scaling intelligent automation programs within financial services.
    • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
    • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.
    Additional Information

    This job will be open and accepting applications for a minimum of five days from the date it was posted.

    Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/

    Company Culture & Background Screening

    Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/

    The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.

    Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.

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    Employment Type: FULL_TIME

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