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Machine Learning Engineer Jobs in York, PA (NOW HIRING)

Fabergent

Data Scientist

Harrisburg, PA · On-site

Harrisburg, PA Duration: 6 months Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with ...

Varsity Tutors

Linear Algebra Tutor

Harrisburg, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Kemper

SVP, Chief Technology Officer (CTO)

Harrisburg, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in York, PA

Machine Learning Engineer information

See York, PA salary details

$31K

$126.7K

$190.4K

How much do machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer in York, PA is $126,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What cities near York, PA are hiring for Machine Learning Engineer jobs?

Cities near York, PA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in York, PA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,730 per year, or $60.9 per hour.

Machine Operator 2 (Night Shift/Windsor St) starting at $24.20/hour

Graham Packaging Company

York, PA • On-site

$24.20/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Graham Packaging rating

7.0

Company rating: 7.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

68th of 119 rated packaging manufacturers

Job description

Company Statement
Graham Packaging is a people, planet and values-based company and a leader in sustainable packaging manufacturing. From the kitchen to the laundry room, Graham Packaging is part of your everyday life.
For employees at Graham, our Blue Culture is part of their everyday lives, too. In other words, Blue is how we do things here.
At Graham, we are united by a clear vision. We know our part and help those around us know theirs, encouraging one another to continuously improve. We create a safe, challenging environment to innovate by supporting creative ideas and new ways of thinking. We take the initiative to cultivate our individual growth and help others do the same, while keeping ourselves and one another accountable. And we actively promote cooperation, collaboration, integrity and respect across regions and teams to foster an engaged, diverse and connected workforce.
We value our employees, and a Blue Culture allows for the most rewarding employee experience as part of the Graham family. Blue is how we feel about what we do-together-to create a better tomorrow. Working at Graham means you lead constructively with clear goals, use diverse thinking to drive excellence, accountability, innovation, as well as demonstrating collaboration, embracing learning, and taking action for continuous improvement and growth.
Overview
Graham Packaging Company is looking for a Machine Operator based in York, PA. This position is a night shift position, 7pm-7am on a 2/2/3 rotating schedule (working every other weekend).
  • Weekly pay starting at $24.20 per hour.
  • Additional $3.00 shift differential for night shifts.
  • Benefits (medical, dental, vision, and 401k with match) effective on day one!

The Operator is responsible for operating a given number of plastic blow molding machines (including in-line equipment), and makes necessary adjustments or minor repairs to ensure production of containers is made in a safe, efficient and high quality manner. The primary duties of an Operator include:
  • Understands, follows and enforces all established safety, health, quality GMP and Company policies, procedures and recognized practices.
  • Understands, follows and enforces all established policies, procedures and recognized practices.
  • Participate in continuous quality improvement projects and other related activities as assigned
  • Operate a group of plastic blow molding machines and auxiliary equipment producing a container in a safe and high quality method.
  • Participate in continuous quality improvement projects and other related activities as assigned.
  • Perform and/or assists in mold, insert and color changes on the line.
  • Perform basic processing of injection and/or blow molding machines to improve machine efficiency and reduce scrap.
  • Perform tasks and responsibilities of any Utility position during slow periods and/or as needed.
  • Monitor HDPE/PET resin (if applicable), dryer, material handling and color systems for appropriate processing conditions.
  • Make frequent on time quality checks on products being produced from established quality standards.
  • Assist other Operators and maintenance personnel on mechanical repairs.
  • Perform assigned preventative maintenance work.
  • Maintain work area to acceptable safety and housekeeping standards.
  • Complete and file all required documentation in an orderly and timely manner.
  • Communicate with the Production Shift Supervisor to coordinate production line support staff in accomplishing the lines' objectives.
  • Verify material usage per standards
  • Perform minor troubleshooting and programming on the line. Notify leads and supervisors of any major problems or questions.
  • Operate equipment to minimize the generation and maximize the consumption of regrind, purge and scrap within customer specifications where applicable.
  • Properly identify regrind and chunk produced.
  • Communicate processing information to designated personnel on incoming shift. Assist other Operators as needed.
  • Assist in the training of new Operators.
  • Limited travel may be required

Qualifications
A minimum of 2 years in manufacturing required.
Operators are required to interact with managers, employees, vendors, and customers. Therefore, the following skills and proficiencies are also essential requirements of the position:
  • Ability to maintain regular, predictable, and punctual attendance.
  • Computer usage and typing skills are essential.
  • Excellent verbal and written communication, including the ability to effectively communicate with internal and external customers.
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service.
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices.
  • Communicates effectively: conveys facts and information clearly both verbally and orally.
  • Collaborates well with others: proactively contributes to group objectives; volunteers to help others.

Compensation Statement
The expected salary range for the position described in this posting is made in accordance with the legal mandates of certain jurisdictions within the United States. The final agreed-upon compensation is based on individual qualifications and experience.
Benefits Statement
Benefits include medical, dental, vision and basic life insurance. Employees are able to enroll in the company's 401K Employee Saving Plan and may participate in its Employee Wellness Program. Employees will also receive paid time off in accordance with company policy and state law requirements.
EEO Disclaimer
Graham Packaging is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex (including pregnancy), sexual orientation, religion, creed, age, national origin, physical or mental disability, gender identity and/or expression, marital status, veteran status or other characteristics protected by law.

What Graham Packaging employees say

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Hours and flexibility

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About Graham Packaging

Sourced by ZipRecruiter

Graham Packaging is a people, planet and values-based company and a leader in sustainable packaging manufacturing. From the kitchen to the laundry room, Graham Packaging is part of your everyday life. For employees at Graham, our Blue Culture is part of their everyday lives, too. In other words, Blue is how we do things here.

Industry

Plastics and rubber products manufacturing

Company size

10,000+ Employees

Headquarters location

York, PA, US

Year founded

1970

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