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Python Ml Developer Jobs in Camden, NJ (NOW HIRING)

Marencor

Python/AI/ML Engineer

Malvern, PA · On-site

Python/AI/ML Engineer They are looking for an expert engineer ... developer with a year or two experience with generative AI (genAI is only a few years old from the ...

Aptino

AI/ML Engineer

Malvern, PA · On-site

AI/ML Engineer Location: PA or NC Duration: 12+ months About the Role We are looking for a skilled ... Strong proficiency in Python and machine learning fundamentals. * Hands-on experience with AWS ...

MS INFO TECH LLC

Software/ML Engineer

Philadelphia, PA · On-site

Minimum of 10 years of experience with software/ML engineering, strong Python (API. services, production: Deep RAG experitse: Embeddings, hybrid search, Chuking, reranking, Evals, guardrails. Agentic ...

RELX Group plc

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on- experience with ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on- experience with ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Camden, NJ

Python Ml Developer information

See Camden, NJ salary details

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$59

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How much do python ml developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python ml developer in Camden, NJ is $59.14, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 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 Camden, NJ? For Python Ml Developer jobs in Camden, NJ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Camden, NJ look for? The top searched job categories for Python Ml Developer jobs in Camden, NJ are:
What cities near Camden, NJ are hiring for Python Ml Developer jobs? Cities near Camden, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Camden, NJ as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $123,016 per year, or $59.1 per hour.

Python/AI/ML Engineer

Marencor

Malvern, PA • On-site

Contractor

Re-posted 28 days ago

Job description


Location: Malvern, PA. M/F Remote. T/W/TH On-site
Length: 18 months +
Interview Process: 2 steps. 2nd round is an on-site interview, so candidates must be close enough to make it

Position: Python/AI/ML Engineer
They are looking for an expert engineer/developer with a year or two experience with generative AI (genAI is only a few years old from the perspective of the user).
Day to day:
* Develop, test, and deploy AI/ML solutions to address various business needs
* Collaborate with data scientists, product managers, and other stakeholders to understand requirements and deliver solutions
* Optimize and maintain existing AI/ML models to ensure they perform efficiently and accurately
Must haves:
* Expertise with SQL and the Python programming language
*Experience with a variety of Python's frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.)
* Experience building AI/ML solutions on AWS
* 1-2 years with GenAI
* Familiarity with data engineering practices such as time series data and fact-based data and tools such as Python's Polars package