ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Huntingdon Valley, PA

BE Group

Senior Machine Learning Engineer

Malvern, PA

$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 ...

Vanguard

Machine Learning Engineer, Specialist

Malvern, PA · On-site

$112K - $134K/yr

We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines ...

Anaplan

Principal Engineer, AI

Philadelphia, PA · On-site

Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. * End-to-end exposure in model lifecycle development, including ...

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Huntingdon Valley, PA

Artificial Intelligence Machine Learning Engineer information

See Huntingdon Valley, PA salary details

$30.9K

$126.3K

$189.8K

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

As of Aug 25, 2026, the average yearly pay for artificial intelligence machine learning engineer in Huntingdon Valley, PA is $126,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $152,000.00 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 Huntingdon Valley, PA?

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

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

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

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

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

Artificial Intelligence Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

BE Group

Malvern, PA

$120K - $158K/yr

Full-time

Posted 28 days ago

Job description

We are assisting our client in hiring for a Senior Machine Learning Engineer.
Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps financial institutions improve collections performance, deliver a better consumer experience, reduce operating costs, anticipate delinquencies, and make more informed credit decisions.

This is a hybrid position based in Malvern, Pennsylvania. Candidates should be local to the Greater Philadelphia region and able to work onsite several days a week.

As part of a significant investment in Data & AI, our client is expanding its engineering organization with two newly created Machine Learning positions. This role is focused on building the predictive intelligence that becomes part of the company's core SaaS platform.

This is a highly hands-on engineering opportunity for someone who enjoys solving real business problems with machine learning. You'll design, build, deploy, and continuously improve production models that help financial institutions better predict customer behavior, prioritize collections strategies, and improve lending outcomes.

Working alongside Product, Engineering, Data, and business leaders, you'll help transform large volumes of structured data into intelligent software capabilities that customers use every day. If you enjoy owning the entire machine learning lifecycle—from feature engineering and model development through deployment, monitoring, and optimization—this is an opportunity to make a measurable impact.

What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
  • 3+ years of experience designing, developing, and deploying production machine learning solutions.
  • Strong Python and SQL development skills.
  • Experience building predictive models using structured data.
  • Experience with feature engineering, model evaluation, deployment, and ongoing model monitoring.
  • Experience working with cloud-based data platforms and modern machine learning frameworks.
  • Familiarity with Azure, Databricks, MLflow, MLOps, or similar technologies.
  • Experience collaborating with engineering, product, and business teams to deliver production-ready AI solutions.
Preferred Experience
  • Financial services, banking, lending, collections, credit risk, or fintech.
  • Building scalable data pipelines and production machine learning systems.
  • AI-assisted software development tools and modern engineering practices.
  • Passion for solving complex business problems through data and machine learning.