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Senior Machine Learning Engineer Jobs in Philadelphia, PA

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Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

As a Senior Machine Learning Ops Engineer, you will bridge Data Science and Engineering to develop AI-based features and ensure the reliability and scalability of machine learning models and services.

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Senior Machine Learning Engineer information

See Philadelphia, PA salary details

$60K

$127.7K

$185.2K

How much do senior machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior machine learning engineer in Philadelphia, PA is $127,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $144,800.00 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 be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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 advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Philadelphia, PA? The most popular types of Machine Learning Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Philadelphia, PA? For Senior Machine Learning Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Philadelphia, PA look for? The top searched job categories for Senior Machine Learning Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Senior Machine Learning Engineer jobs? Cities near Philadelphia, PA with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,707 per year, or $61.4 per hour.

Principal Data Platform & Machine Learning Engineer

BE Group

Malvern, PA

$132K - $177K/yr

Full-time

Posted 12 days ago

Job description

We are assisting our client in hiring for a Principal Data Platform & 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 each 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 will define the technical foundation that powers the company's next generation of predictive analytics and AI capabilities.

This is a highly hands-on Principal Engineering opportunity for someone who enjoys building platforms as much as building software. You'll establish the architecture, data pipelines, APIs, engineering standards, and machine learning infrastructure that enable intelligent products to scale across the business.

You'll work closely with Product, Engineering, and executive leadership while mentoring other engineers and helping shape the technical direction of the platform. This is an opportunity to influence architecture, modernize engineering practices, and build production AI capabilities that directly impact customers and the future of the business.

What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
  • 7+ years of experience building large-scale data platforms, cloud-native applications, or production machine learning systems.
  • Strong Python and SQL development skills.
  • Experience designing scalable data architectures, APIs, distributed data processing solutions, and machine learning platforms.
  • Experience with Azure, Databricks, MLflow, CI/CD, infrastructure automation, and MLOps.
  • Proven ability to establish engineering standards, technical direction, and software best practices while remaining highly hands-on.
  • Experience mentoring engineers and collaborating across multiple technical disciplines.
Preferred Experience
  • Financial services, banking, lending, collections, credit risk, or fintech.
  • Designing enterprise-scale data platforms and machine learning infrastructure.
  • Building highly available, cloud-native SaaS applications.
  • AI-assisted software development tools and modern engineering practices.
  • Passion for solving complex technical challenges while helping other engineers succeed.