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Senior Machine Learning Engineer Jobs in Philadelphia, PA

Merican

AI / Machine Learning Engineer

PA · On-site

AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...

Bespoke Labs

Machine Learning Engineer

Trenton, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Wilmington, DE · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Philadelphia, PA

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 Jul 13, 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 July 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,707 per year, or $61.4 per hour.
Senior Machine Learning Software Engineer

Senior Machine Learning Software Engineer

Penn Medicine

Philadelphia, PA • On-site

$123K - $163K/yr

Other

Posted 12 days ago

Penn Medicine rating

7.6

Company rating: 7.6 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

191st of 882 rated healthcare providers

Job description

Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
Entity: Corporate Services
Department: PennDNA Data Science
Location: 3600 Civic Center Blvd, Philadelphia, PA
Hours: M-F, Daylight
Summary:
Working with a team of data scientists and ML engineers, the Senior Machine Learning Software Engineer is responsible for the development, implementation, and maintenance of cutting-edge software for machine learning models and algorithms. The goal is to drive impactful insights and solutions across various healthcare domains, such as enhancing patient care, operational efficiency, and research endeavors. The ideal candidate will be a seasoned software engineer with experience in machine learning infrastructure and healthcare data. The Senior ML Software Engineer is both a member of a team, has expertise in one or more sub-domains, triages and refines requests, leads moderately complex projects and mentors more junior members of the team.
Responsibilities:
  • Systems and Software Engineering: Leverage proprietary and open-source tools and frameworks to develop ML systems and software applications. Design and implement scalable and modular software architectures, emphasizing maintainability and extensibility. Develop core capabilities for ML training, development, deployment and monitoring. Develop integrations with health system applications (e.g. Epic), systems and both on-prem and cloud infrastructure. Responsible for continuous integration and continuous delivery of production code. Independently lead and execute moderately complex projects with minimal oversight.
  • Model Deployment and Monitoring: Develop and enforce the technical standards for deployment of machine learning models for healthcare applications. Contribute to the deployment and monitoring of ML capabilities based on emerging technologies, trends and methodologies. Lead the design and development of tools for active monitoring of models and ML applications. Help maintain and optimize production models and applications.
  • Data Sourcing and Integration: Work with ML and data engineers to build robust and maintainable data pipelines for model development, validation, and deployment. Ensure seamless data integration and flow with health system applications that supports the scalability and efficiency of ML models and analytics platforms.
  • Collaboration: Collaborate with a multidisciplinary team, including data scientists, data and ML engineers, clinicians, administrators, and product managers to define project requirements and develop solutions that meet
  • organizational needs. This collaboration aims not only to advance healthcare technology but also to drive significant improvements in patient outcomes and operational efficiencies, demonstrating the tangible impact of our work. Provide subject matter expert review, guidance and consultation.
  • Continuous Improvement: Demonstrate a commitment to continuous learning and professional development. Stay current with emerging industry trends, best practices, and technologies in ML software engineering. Model a culture of performance excellence both within team and across the enterprise. Look for opportunities to optimize the team's processes and workflows.

Education or Equivalent Experience:
  • Bachelor's degree is required. Computer science or a related field with a focus on machine learning or data science.
  • 3+ years of experience and expertise in software engineering and infrastructure to support development and deployment of machine learning models and applications is required.
  • Proven track record of leading and executing moderately complex projects with minimal oversight is required.
  • 1+ years healthcare analytics experience is preferred.

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

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