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Home Based Python Machine Learning Jobs in Huntingdon Valley, PA

AI/ML Lead Engineer

Chester, PA

$98K - $130K/yr

Required Skills and experience- • Strong expertise in Python and Machine Learning frameworks . • Experience with data engineering pipelines and cloud-based ML deployments. • Knowledge of MLOps ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Experience building ML models in Python; solid software engineering and algorithms fundamentals ... Actual compensation will be determined based on job-related skills, experience, and expertise, as ...

Python Tutor

Trenton, NJ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

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Home Based Python Machine Learning information

See Huntingdon Valley, PA salary details

$12

$57

$84

How much do home based python machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for home based python machine learning in Huntingdon Valley, PA is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are the most commonly searched types of Python Machine Learning jobs in Huntingdon Valley, PA? The most popular types of Python Machine Learning jobs in Huntingdon Valley, PA are:
What job categories do people searching Home Based Python Machine Learning jobs in Huntingdon Valley, PA look for? The top searched job categories for Home Based Python Machine Learning jobs in Huntingdon Valley, PA are:

$98K - $130K/yr

Other

Posted 2 days ago


Job description

Position: ML Engineer with python and AI
Location: Chester , PA -onsite
Duration: Contract
JD:
Role Overview
We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ML pipelines, building GenAI applications, and deploying models using cloud-based MLOps platforms. Experience in the Telecom BSS/OSS domain is preferred.
Key Responsibilities
• Develop and deploy Machine Learning and Generative AI solutions for enterprise applications.
• Build end-to-end ML pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Develop LLM-powered applications using frameworks such as OpenAI, LangChain, Hugging Face, or LlamaIndex.
• Design and manage data pipelines using SQL, Pandas, Databricks, Data Lakes, and NoSQL databases.
• Implement MLOps workflows including model versioning, CI/CD pipelines, and containerization.
• Deploy and manage ML workloads on AWS SageMaker, Azure ML, or GCP AI Platform.
• Build REST APIs or backend services using frameworks like Flask or FastAPI to integrate AI models into applications.
• Collaborate with business stakeholders to develop AI solutions for Telecom BSS/OSS use cases.
Required Skills and experience-
• Strong expertise in Python and Machine Learning frameworks.
• Experience with data engineering pipelines and cloud-based ML deployments.
• Knowledge of MLOps practices including Git, Docker, and CI/CD pipelines.
• Working knowledge of backend development for AI services.
• Experience with Generative AI and LLM-based applications