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

Guidehouse

Data Engineer

Aberdeen, MD · On-site

$85K - $141K/yr

... ML), and artificial intelligence (AI). Our services enable our clients to define their information ... Python. * Proficiency developing dashboards using Tableau or Power BI. * Familiarity with DevOps ...

Tiger Analytics Inc.

Senior Data Engineer

Wilmington, DE · On-site

$102.90K - $139.70K/yr

... cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of ... Utilize programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based ...

Tiger Analytics Inc.

Senior Data Engineer

Wilmington, DE · On-site

$102.90K - $139.70K/yr

... cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of ... Utilize programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based ...

Guidehouse

Data Engineer

Aberdeen, MD

$85K - $141K/yr

... ML), and artificial intelligence (AI). Our services enable our clients to define their information ... Conduct ETL/ELT and data quality analysis using various technologies (i.e., Python, Databricks ...

Athenago

AI Engineering Intern

Wilmington, DE

Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code. * Solid ...

JP Morgan Chase

Principal Software Engineer

Wilmington, DE · On-site

$131K - $175.60K/yr

Establish standards, governance frameworks, and best practices for the ML Platform. * Direct ... Experience with Python * Certification in Databricks and AWS JPMorganChase, one of the oldest ...

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of May 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 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 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 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 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:
Python Ml Developer jobs near you

Data Engineer

Guidehouse

Aberdeen, MD • On-site

$85K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants

Job description

Job Family:
Data Engineering & Architecture Consulting
Travel Required:
None
Clearance Required:
Active Secret
What You Will Do:
Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.
  • Conduct ETL/ELT and data quality analysis using various technologies (i.e., Python, Databricks, Palantir Foundry).
  • Manage ETL/ELT functions and develop, build, test, and maintain scalable data pipeline architectures and tools.
  • Develop integrated data pipelines and models to measure program performance and report on progress
  • Work in cloud-based databases and ETL/ELT architecture.
  • Design and build distributed systems for scalability and security.
  • Work with data integration and management tools and databases.
  • Gather requirements, design, implement, and test database systems.
  • Coordinate with non-technical users to gather requirements.
  • Provide and prepare data to enable data science and machine learning.
  • Demonstrate strong understanding of relational databases, columnar data warehouses, data lakes, NoSQL, and other storage types.
  • Develop intuitive, attractive, and interactive data visualizations using large data sets to create dashboards, using tools such as Tableau and Power BI, for a diverse set of users with varying technical capabilities.
  • Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.
  • Develop and maintain data governance documentation, tools, and templates.
  • Work with Palantir Foundry and Databricks.
  • Maintain good working relationships with clients to enhance customer satisfaction and work with client management and staff to perform engagement services.
  • Ensure data governance and quality assurance standards are met.
  • Organize and lead client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items.
  • Summarize and present information and reports to the team and make recommendations (both oral and written).

What You Will Need:
  • US Citizenship is required.
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor's degree obtained
  • 4+ years of experience in a data or IT discipline.
  • 2+ years of experience in data engineering.
  • Experience designing and developing databases with Structured Query Language (SQL) and performing complex queries.
  • Experience developing complex data pipelines and extract - transform - load (ETL) processes.
  • Experience moving and manipulating data of different types and file types using Python.
  • Demonstrated ability to perform data quality management and integration to ensure accurate and usable datasets using querying or data engineering software tools, such as SQL, Python, R, etc.

What Would Be Nice to Have:
  • Master's degree in computer science or related field.
  • Strong understanding of different types of data storage.
  • Experience working with system and application logs.
  • Experience working in cloud-based databases and architecture.
  • Experience using business intelligence tools Tableau and/or Power BI to visualize large data sets.
  • Proficiency in querying and joining acquisition, programming and transactional datasets.
  • Proficiency in programming languages such as Python.
  • Proficiency developing dashboards using Tableau or Power BI.
  • Familiarity with DevOps and container technologies (Docker/Kubernetes).
  • Ability to implement basic automation and CI/CD.
  • Experience with micro services architecture and API gateways.
  • Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
  • Experience with source code version control technologies such as Git.
  • Ability to code and debug stored procedures.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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