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Senior Machine Learning Jobs in Pennsylvania (NOW HIRING)

BE Group

Senior Machine Learning Engineer

Malvern, PA

$120K - $158K/yr

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 ...

New

System One

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · 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.

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA · 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.

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

CGI Inc.

Senior Machine Learning/GenAI Architect

Pittsburgh, PA · On-site

$125K - $170K/yr

Senior Machine Learning/GenAI Architect Category: Analytics and Emerging Digital Technologies Main location: United States, Pennsylvania, Pittsburgh Position ID:J0726-0293 Employment Type: Full Time ...

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Senior Machine Learning information

See Pennsylvania salary details

$25.1K

$80.5K

$163.9K

How much do senior machine learning jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior machine learning in Pennsylvania is $80,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,600.00 and $103,200.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in Pennsylvania? The most popular types of Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Senior Machine Learning jobs in Pennsylvania? For Senior Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in Pennsylvania look for? The top searched job categories for Senior Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Machine Learning jobs? Cities in Pennsylvania with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $80,480 per year, or $38.7 per hour.

Senior Machine Learning Engineer

BE Group

Malvern, PA

$120K - $158K/yr

Full-time

Posted yesterday

New

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.