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Python Ml Developer Jobs in Newark, DE (NOW HIRING)

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

Required : • 10+ years of software engineering experience with at least 3+ years in a Tech Lead ... Python, TypeScript, or Java. • Experience with cloud-native architectures (AWS/Azure/GCP ...

Senior Software Developer (NLP)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists and ML/NLP engineers to integrate NLP models into production ... Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or ...

Senior Software Developer (NLP)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists and ML/NLP engineers to integrate NLP models into production ... Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or ...

Senior Software Developer (NLP)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists and ML/NLP engineers to integrate NLP models into production ... Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or ...

Top Skills' Details 10+ years ML Architect AWS Snowflake python Strong Deployment skills Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is ...

Python • AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ...

Showing results 21-40

Python Ml Developer information

See Newark, DE salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in Newark, DE is $57.31, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.10 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Newark, DE?

For Python Ml Developer jobs in Newark, DE, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Newark, DE look for?

The top searched job categories for Python Ml Developer jobs in Newark, DE are:

Infographic showing various Python Ml Developer job openings in Newark, DE as of June 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $119,206 per year, or $57.3 per hour.

Applied AI/ML - Vice President

J.P. Morgan

Wilmington, DE

Full-time

Medical, Retirement

Re-posted 14 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.

Job responsibilities 

  • Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. 
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives. 
  • Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency. 
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. 
  • Communicate AI/ML capabilities and results to both technical and non-technical audiences. 
  • Build AI Agents and chatbot
  • Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. 

Required qualifications, capabilities, and skills 

  • Bachelor’s degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. 
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • 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 for model development, experimentation, and integration with OpenAI API. 
  • Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph. 
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization. 
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures. 
  • Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. 

Preferred qualifications, capabilities, and skills 

  • Familiarity with the financial services industries. 
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). 
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. 
  • Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.

ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits.  You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.