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

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Parsons

AI/ML Engineer

Aberdeen, MD · On-site

Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Parsons

Senior Software Developer (MLOps)

Aberdeen, MD

$58.50 - $77.50/hr

... ML-enabled services Technical Competencies * Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or similar), with working knowledge of others * Strong grasp of ...

New

ApTask

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 ...

Parsons

Senior Software Developer (NLP)

Aberdeen, MD

$58.50 - $77.50/hr

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 ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Newark, DE

Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 30, 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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:
Python Ml Developer jobs near you
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.

Python / Spark Developer

AYR Global IT Solutions Inc

Newark, DE

$49.25 - $67.75/hr

Contractor

Re-posted 7 days ago

Job description

Company Description

AYR Global IT Solutions is a national staffing firm focused on cloud,
cyber security, web application services, ERP, and BI implementations by
providing proven and experienced consultants to our clients.
Our competitive, transparent pricing
model and industry experience make us a top choice of Global System
Integrators and enterprise customers with federal and commercial
projects supported nationwide.

Job Description

Job Title: Python / Spark Developer
Location: Newark, DE
Contract: 6+ Months
Only US Citizens and GC holders only

Qualifications

Job Description:
Teams are aligned with corporate partners' evolving technology needs and the firm's ever expanding technology controls agenda.
A top priority is building scalable corporate systems. Teams focus on:
Responding to the evolving regulatory environment and helping to meet the firm's regulatory commitments by addressing internal and external commitments
Advancing the firm's Roadmap programs -- Single Sourcing of data, Architecture Convergence, and Rationalization of Platforms
Adopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutions
Driving innovation across the firm's corporate technology portfolio, increasing efficiencies through process automation, and Agile application development, with an emphasis on user experience and shorter development cycles
Investing in security & controls for cyber, access/entitlements uplift, data protection and application resiliency
Responsibilities:
The Python/Spark Developer will be a member of the teams that designs and develops robust automated solutions in partnership with Model Design teams and other stake-holder groups in Risk and Finance. The ideal candidate will possess strong technical skills and an understanding of data systems, and will execute the end-to-end implementation effort.
Develop, test, and maintain data and analytics needed for risk and finance models
Process analysis and process improvement,
Create and maintain technical documentation,
Contribute to the group's knowledge base by finding new and valuable ways to approach problems and projects.
Deliver high-quality results under tight deadlines
Experience manipulating and summarizing large quantities of data.
Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation
Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's degree with 6 years of experience, or Master's degree with 4 years of experience, or a Ph.D. and two years of experience.
2 to 4 years' experience designing and developing in Python or Scala.
2 to 4 years' experience in Hadoop Platform (Hive, HDFS and Spark)
3 to 5 years' experience with Unix shell scripting
3 to 5 years' experience with SQL
1 to 2 years' experience with Machine Learning (preferably Spark-ML)
Knowledge of Java and Scala
Preferred Qualifications:
5 years' experience with version control tools and processes (Subversion, CVS, Clear Case etc.
Education: Bachelor's Degree

Additional Information

If anyone might be intersted please send resumes to kmarsh@ayrglobal (dot) com or you can reach me direct at (571) 250-6817

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