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Python Machine Learning Jobs in Pennsylvania (NOW HIRING)

Berkadia

Senior Engineer - Machine Learning

Ambler, PA · On-site

$100K - $138K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn,PyTorch ... Experience building and maintaining machine learning pipelines, feature engineering workflows, and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

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All JobsPython Machine Learning JobsPython Machine Learning Jobs in Pennsylvania

Python Machine Learning information

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How much do python machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python machine learning in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

What is a Python machine learning?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What does a typical workday look like for a Python machine learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

What are the key skills and qualifications needed to thrive in the Python machine learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What are the most commonly searched types of Python Machine Learning jobs in Pennsylvania?

The most popular types of Python Machine Learning jobs in Pennsylvania are:

What are popular job titles related to Python Machine Learning jobs in Pennsylvania?

For Python Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Python Machine Learning jobs in Pennsylvania look for?

The top searched job categories for Python Machine Learning jobs in Pennsylvania are:

Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,225 per year, or $58.8 per hour.

Principal Machine Learning Engineer[W2 ROLE]

SmartIPlace

Philadelphia, PA • On-site

Contractor

Re-posted 5 days ago

Job description

Title: Principal Machine Learning Engineer

Location: Philadelphia, PA (Hybrid – Onsite Tuesdays & Wednesdays)
Duration: 6+ Months Contract-to-Hire
Employment Type: W2
Work Authorization: Must be authorized to work in the U.S.

Job Summary

Medical Guardian is seeking a Principal Machine Learning Engineer to lead the design, development, deployment, and optimization of machine learning solutions supporting predictive analytics, scoring, decision intelligence, and AI-driven automation. This is a hands-on technical leadership role focused on building production-ready ML models while partnering with stakeholders to solve complex business problems.

Key Responsibilities
  • Design, build, validate, and deploy machine learning models for prediction, scoring, risk detection, prioritization, and decision support.
  • Perform exploratory data analysis (EDA), feature engineering, model training, tuning, validation, and performance evaluation.
  • Develop scalable ML pipelines using Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, and similar technologies.
  • Build reusable feature engineering frameworks and model-ready datasets.
  • Monitor production models for performance, drift, calibration, retraining, and lifecycle management.
  • Collaborate with business and technical stakeholders to translate business challenges into ML solutions.
  • Ensure models are explainable, maintainable, and production-ready.
  • Follow software engineering best practices including version control, testing, documentation, and code quality.
  • Provide technical leadership and guidance on AI/ML best practices and model design.
Required Qualifications
  • 5+ years of hands-on experience in machine learning model development.
  • 3+ years of experience deploying and supporting machine learning models in production environments.
  • Strong programming experience with Python and SQL.
  • Experience with Databricks, Apache Spark, MLflow, Snowflake, Azure, AWS, or similar cloud/data platforms.
  • Strong understanding of feature engineering, model evaluation, model monitoring, drift detection, calibration, thresholding, and retraining.
  • Experience developing predictive models, scorecards, and decision-support systems.
  • Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
  • Strong software engineering practices including testing, documentation, reproducibility, and maintainable code.
Preferred Qualifications
  • Experience with Generative AI and AI automation.
  • Knowledge of MLOps and production machine learning lifecycle management.
  • Experience with explainable AI (XAI) and transparent modeling techniques.
  • Background in predictive analytics, customer engagement, or risk modeling.
  • Experience working in Agile environments.
Required Skills
  • Machine Learning
  • Python
  • SQL
  • Databricks
  • Apache Spark
  • MLflow
  • scikit-learn
  • XGBoost
  • Snowflake
  • Azure / AWS
  • Feature Engineering
  • Predictive Modeling
  • Model Deployment
  • MLOps
  • Generative AI
  • AI Automation
  • Model Monitoring
  • Stakeholder Management
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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