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Artificial Intelligence Machine Learning Engineer Jobs in Philadelphia, PA

Senior Machine Learning Engineer

Malvern, PA ยท On-site

$120K - $158K/yr

This role is focused on building the predictive intelligence that becomes part of the company ... If you enjoy owning the entire machine learning lifecycle--from feature engineering and model ...

Senior Machine Learning Engineer

Malvern, PA ยท On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

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Artificial Intelligence Machine Learning Engineer information

See Philadelphia, PA salary details

$30.1K

$123.1K

$184.9K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for artificial intelligence machine learning engineer in Philadelphia, PA is $123,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

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

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

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

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

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

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $123,068 per year, or $59.2 per hour.

Machine Learning Artificial Intelligence Engineer

Norristown, PA โ€ข On-site

RIT Solutions, Inc.
Recruiting and Staffing Servicesย โ€ขย 201 - 500 employees

$109K - $131K/yr

Full-time

Re-posted 9 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Machine Learning Artificial Intelligence Engineer. The role involves leveraging strong project experience in Machine Learning, Big Data, and Python to build data pipelines and develop REST APIs.
Responsibilities:
โ€ข Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
โ€ข Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
โ€ข 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.
โ€ข 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
โ€ข Strong experience with REST API development using Python frameworks (Django, Flask etc.).
โ€ข Micro Services/Web service development experience using Spring framework is highly desirable
Qualifications:
Required:
โ€ข Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
โ€ข Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
โ€ข 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.
โ€ข 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
โ€ข Strong experience with REST API development using Python frameworks (Django, Flask etc.).
Preferred:
โ€ข Micro Services/Web service development experience using Spring framework is highly desirable
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.