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Machine Learning Engineer Starting Jobs in Pennsylvania

JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning ...

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 ...

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.

Senior Machine Learning Engineer

Malvern, PA

$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.

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 ...

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Machine Learning Engineer Starting information

See Pennsylvania salary details

$31.6K

$129.1K

$194K

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

As of Jul 21, 2026, the average yearly pay for machine learning engineer starting in Pennsylvania is $129,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $155,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers working in top tech companies or specialized fields can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in deep learning, large-scale data processing, and proficiency with tools like TensorFlow or PyTorch, along with significant industry experience and a strong track record of impactful projects.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, focusing on developing and refining AI models. Other resilient roles include data scientists, who interpret complex data, and cybersecurity professionals, who protect systems from evolving threats. These jobs require specialized skills and adapt to technological changes, making them more resistant to automation.

What are entry-level AI/ML jobs?

Entry-level AI/ML jobs typically include roles such as Junior Machine Learning Engineer, Data Analyst, or AI Research Assistant. These positions often require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and a relevant degree or certification. They offer opportunities to gain practical experience in model development, data preprocessing, and deploying AI solutions.

What jobs should I get before getting into machine learning engineer?

Entry-level roles such as data analyst, software developer, or research assistant can provide relevant experience for aspiring machine learning engineers. Gaining skills in programming languages like Python or R, understanding data manipulation, and working with tools like SQL and machine learning frameworks are valuable steps before transitioning into a machine learning engineer role.
What cities in Pennsylvania are hiring for Machine Learning Engineer Starting jobs? Cities in Pennsylvania with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer

Machine Learning Engineer

Compunnel

Philadelphia, PA • On-site

Contractor

Posted 20 days ago


Job description

JOB SUMMARY
Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning solutions. The ideal candidate should have experience deploying ML models into production, working with AWS cloud services, and setting up local LLM environments. This is an engineering role, not a management role. The hiring manager is specifically looking for someone who enjoys coding and solving technical problems.
Key Responsibilities
Design, develop, and deploy production-ready Machine Learning models
Develop scalable ML pipelines using Python and PySpark
Build and optimize ETL and data processing workflows
Work with AWS cloud services to support ML applications
Configure and work with Local LLM environments
Deploy Machine Learning models into production environments
Collaborate with software engineering teams to build scalable ML solutions
Troubleshoot, optimize, and maintain production ML pipelines
Required Qualifications
5+ years of Machine Learning Engineering experience
Extensive hands-on Python programming experience
Recent hands-on PySpark experience (Must Have)
Strong AWS cloud experience
Experience deploying Machine Learning models into Production (Must Have)
Strong coding and software engineering skills
Experience building scalable ML pipelines
Strong debugging and problem-solving skills
Preferred Qualifications
Experience setting up Local LLMs
MLOps experience
Distributed data processing experience
Model optimization and performance tuning
Experience with production AI/ML systems

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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