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Machine Learning Jobs in Philadelphia, PA (NOW HIRING)

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Machine Learning information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

How much do machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Philadelphia, PA?

The most popular types of Machine Learning jobs in Philadelphia, PA are:

What are popular job titles related to Machine Learning jobs in Philadelphia, PA?

For Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Philadelphia, PA look for?

The top searched job categories for Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Machine Learning jobs?

Cities near Philadelphia, PA with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,971 per year, or $20.7 per hour.

Principal Machine Learning Engineer[W2 ROLE]

SmartIPlace

Philadelphia, PA • On-site

Contractor

Re-posted 4 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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