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Junior Machine Learning Engineer Jobs in Lancaster, PA

Tait

Data Engineer

Lititz, PA

$106K - $127K/yr

Experience enabling machine learning or AI solutions through feature engineering, model-ready ... datasets, ML lifecycle tooling, vector or unstructured-data pipelines, or responsible AI data ...

TAIT

Data Engineer

Lititz, PA · On-site

$106K - $127K/yr

Experience enabling machine learning or AI solutions through feature engineering, model-ready ... datasets, ML lifecycle tooling, vector or unstructured-data pipelines, or responsible AI data ...

TAIT

Data Engineer

Lititz, PA · On-site

$120 - $180/hr

Experience enabling machine learning or AI solutions through feature engineering, model-ready ... datasets, ML lifecycle tooling, vector or unstructured-data pipelines, or responsible AI data ...

Penske

Senior Manager - Rental Analytics

Reading, PA · On-site

... machine learning solutions - Oversee data quality initiatives and data integration efforts ... Qualifications: - Bachelor's degree in Engineering, Analytics, Mathematics, Statistics, Data ...

Penske

Senior Manager - Rental Analytics

Reading, PA · On-site

... machine learning solutions - Oversee data quality initiatives and data integration efforts ... Qualifications Qualifications: - Bachelor's degree in Engineering, Analytics, Mathematics ...

Omnimax

Valley Machine Operator

Lancaster, PA · On-site

$16.50 - $19.75/hr

... science of engineering, science and technology to shape the future of comfortable living ... We look forward to learning more about you. Equal Opportunity Employer This employer is required to ...

PrimeSource Building Products

Machinist II

New Holland, PA · On-site

$19.25 - $26.25/hr

Machine breakdown and setup * Training team members (Machinist 1) * Guarantee home keeping needs ... Team Player: committed to improving, learning, and collaborating with others * Problem-solving and ...

Keenfinity

Mechanical Engineer

Lancaster, PA · On-site

Experience as an engineer, planning, directing and checking the activities of junior colleagues ... Experience with basic machine shop equipment * Knowledge of integrating AI tools into engineering ...

Keenfinity

Mechanical Engineer

Lancaster, PA · Hybrid

Experience as an engineer, planning, directing and checking the activities of junior colleagues ... Experience with basic machine shop equipment * Knowledge of integrating AI tools into engineering ...

Keenfinity

Mechanical Engineer

Lancaster, PA · Hybrid

Experience as an engineer, planning, directing and checking the activities of junior colleagues ... Experience with basic machine shop equipment * Knowledge of integrating AI tools into engineering ...

R-V Industries Inc

Mechanical Design Engineer

Honey Brook, PA · On-site

$71K - $97K/yr

We care for each other, our safety, our quality, our learning, and our growth. * We seek out ... Design custom mechanical equipment and machinery -- including paper-market roll, frame, and drive ...

The Dixon Group

Screw Machinist

Landisville, PA · On-site

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

Dixon

Screw Machinist

Landisville, PA · On-site

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

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Junior Machine Learning Engineer information

See Lancaster, PA salary details

$32.6K

$69.8K

$106.4K

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

As of Sep 4, 2026, the average yearly pay for junior machine learning engineer in Lancaster, PA is $69,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,700.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

What job categories do people searching Junior Machine Learning Engineer jobs in Lancaster, PA look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Lancaster, PA are:

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

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

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Lancaster, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $69,778 per year, or $33.5 per hour.

Systems Integrations Analyst

Graham Packaging Company

Lancaster, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

  • Build and maintain API integrations connecting industrial data platforms, quality databases, SQL data stores, and enterprise business systems

  • Write Python scripts and services to extract, transform, and move production and quality data reliably between systems

  • Partner with AI and analytics engineers to prepare, structure, and validate datasets used in machine learning projects

Graham Packaging rating

7.0

Company rating: 7.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

70th of 122 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 is a leading North American manufacturer of rigid plastic containers, operating 270+ production lines across facilities throughout the US. Our manufacturing intelligence team connects real-time machine data, quality systems, and business applications into a unified data platform that drives measurable bottom-line returns.
We are hiring a Systems Integration Analyst to help deliver the next phase of that platform: integrating our production and quality data systems to enable AI-driven analytics. This is hands-on integration work; building API connections, moving data between industrial and enterprise systems, and working across IT and OT teams to make disconnected systems talk to each other.
You will work directly with our AI and analytics initiatives as part of the team. The integrations you build are what make our AI projects possible, and as the data foundation matures, you will have a direct path into applied AI and machine learning work.
Responsibilities
Integration Development
  • Build and maintain API integrations connecting industrial data platforms, quality databases, SQL data stores, and enterprise business systems
  • Write Python scripts and services to extract, transform, and move production and quality data reliably between systems
  • Develop and test data pipelines with proper error handling, logging, and documentation so they run without babysitting
  • Troubleshoot integration failures across the full path: source system, network, credentials, transformation logic, destination
Cross-Functional IT/OT Coordination
  • Work with corporate IT teams on service accounts, database access, firewall rules, and infrastructure requests.
  • Work with plant-side OT and controls resources to understand data sources at the machine and line level
  • Navigate the boundary between enterprise IT standards and plant-floor realities, and know when each applies
  • Document system interfaces, data flows, and access requirements for audit and team continuity
AI Project Support
  • Partner with the team's AI and analytics engineers to deliver the data foundations their models depend on
  • Prepare, structure, and validate datasets used in machine learning projects targeting quality prediction and process improvement
  • Grow your applied AI skills through direct project involvement, model deployment support, results validation, and pipeline automation
  • Contribute ideas: as part of the team you will help develop the specifications and support users
Team Execution
  • Take direction from senior integration engineers and deliver assigned workstreams with minimal rework
  • Participate in plant visits to see production systems firsthand and validate integrations against real operations
  • Communicate progress, blockers, and risks clearly

Qualifications
Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field - or equivalent demonstrated experience
  • 2-6 years of hands-on experience building integrations, data pipelines, or system-to-system connections in Python (internships and co-ops in operational environments count)
  • Demonstrated experience working with REST APIs and SQL databases in real projects, not just coursework
  • Experience working in or with operational/industrial environments, or clear evidence of the systems mindset those environments require
  • Willingness to travel to manufacturing plant sites periodically (estimated 10-20%)

Preferred
  • Direct manufacturing, industrial, utilities, logistics, or similar operational-environment experience
  • Familiarity with industrial data platforms (historians, MES) or industrial communication protocols
  • Exposure to machine learning workflows: data preparation, feature engineering, or model deployment support
  • Experience navigating enterprise IT processes: access requests, change management, security reviews

Skills
Required
  • Python: Solid working proficiency: requests, pandas, working with JSON/XML, writing scripts that run unattended; this is the core tool of the job
  • APIs & Integrations: Hands-on experience calling and consuming REST APIs; understanding of authentication methods (API keys, OAuth, service accounts); experience connecting systems that were not designed to talk to each other
  • SQL & Databases: Comfortable querying and writing to relational databases; understanding of schemas, joins, and data types across systems
  • IT/OT Awareness: Understands that plant-floor systems are not cloud apps: legacy protocols, network segmentation, uptime constraints, and change control. Prior exposure to manufacturing, industrial, utility, or similar operational environments strongly preferred
  • Problem Solving: Debugs methodically across system boundaries; comfortable when the answer is not on Stack Overflow because the system is 15 years old
  • AI Interest: Genuine motivation to grow into applied AI and machine learning work; foundational exposure through coursework, projects, or self-study is a plus

Preferred
  • Manufacturing / OT: Direct experience in a manufacturing company or operational environment: MES, SCADA, historians, PLCs, industrial protocols (OPC-UA, Modbus), or plant-floor data systems
  • Enterprise Systems: Exposure to SAP, ERP data structures, or quality management systems
  • Visualization: Power BI or similar dashboard tooling for validating and presenting integrated data

The standard compensation for this role is $81,500 - $122,300. Salary offers will be determined based on final candidate qualifications, experience, skillset, and other relevant factors.
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

Pay

Benefits

Hours and flexibility

Workplace

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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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