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Senior Machine Learning Engineer Jobs in Pennsylvania

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 ...

Machine Learning Engineer, Data Mining

Pittsburgh, PA ยท On-site +1

$111K - $133K/yr

Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions. What We're Looking For (Must-Haves): * BS or MS in ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

New

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

New

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 ...

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 ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

New

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

New

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Showing results 1-20

Senior Machine Learning Engineer information

See Pennsylvania salary details

$59.6K

$126.9K

$183.9K

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

As of Jul 17, 2026, the average yearly pay for senior machine learning engineer in Pennsylvania is $126,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $143,800.00 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 Pennsylvania? The most popular types of Machine Learning Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Machine Learning Engineer jobs? Cities in Pennsylvania with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution, with an average salary of $126,861 per year, or $61 per hour.
AI / Machine Learning Engineer

AI / Machine Learning Engineer

Merican

PA โ€ข On-site

Contractor

Posted 28 days ago


Job description

Job Title: 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, develop, and deploy scalable AI and Large Language Model (LLM) solutions within enterprise AWS environments. The ideal candidate will have hands-on expertise with LangChain and LangGraph, strong Python development skills, and experience building production-grade AI applications that are reliable, secure, and high-performing.
Key Responsibilities
  • Design, develop, and deploy AI/LLM-powered applications in AWS production environments.
  • Build, orchestrate, and manage intelligent workflows using LangChain and LangGraph.
  • Integrate AI solutions with enterprise applications, APIs, and data platforms.
  • Optimize model performance, latency, scalability, and reliability for production use cases.
  • Develop and implement prompt engineering strategies and model evaluation frameworks.
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
  • Ensure adherence to software engineering best practices, including CI/CD, version control, testing, and deployment automation.
  • Monitor, troubleshoot, and enhance AI applications in production environments.
Required Qualifications
  • Proven experience deploying and supporting applications in AWS production environments (e.g., Lambda, ECS, EKS, S3).
  • Hands-on experience with LangChain and LangGraph for AI orchestration and workflow development.
  • Strong programming experience in Python.
  • Experience working with Large Language Models (LLMs), prompt engineering, and model evaluation techniques.
  • Solid understanding of software development best practices, including CI/CD pipelines, Git-based version control, automated testing, and deployment processes.
  • Experience integrating AI solutions with enterprise systems and APIs.
Preferred Qualifications
  • Experience building and deploying scalable generative AI applications.
  • Familiarity with vector databases, RAG (Retrieval-Augmented Generation), and AI observability tools.
  • Understanding of cloud security, governance, and compliance considerations for AI workloads.
  • Experience working in Agile development environments.
Work Arrangement
  • Candidates must be available to work onsite during the first week (Monday-Friday).
  • Candidates located in Philadelphia, PA or Charlotte, NC will follow a hybrid schedule, working onsite with the team three days per week after onboarding.
Employment Type
  • Contract (6 Months)

If you are passionate about building production-ready AI solutions and have strong expertise in AWS, LangChain, and LangGraph, we encourage you to apply.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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