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Quantum Machine Learning Engineer Jobs in Lancaster, PA

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

$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 ...

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 ...

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field. * Foundational knowledge of machine learning concepts and data analysis.

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 III

New Holland, PA · On-site

$19.25 - $26.25/hr

Machine programming Key Competencies * Willingness to learn and follow directions * Team Player: committed to improving, learning, and collaborating with others * Problem-solving and continuous ...

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 ...

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 ...

R-V Industries, Inc.

Be Seen First

Mechanical Design Engineer

Lancaster, PA · On-site

$75K - $105K/yr

We care for each other, our safety, our quality, our learning, and our growth. We seek out ... Most of our equipment is built in house by our own in-house fabricators, machinists, mechanical and ...

R-V Industries, Inc.

Be Seen First

Mechanical Design Engineer

Lancaster, PA · On-site

$75K - $105K/yr

We care for each other, our safety, our quality, our learning, and our growth. We seek out ... Most of our equipment is built in house by our own in-house fabricators, machinists, mechanical and ...

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 ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Lancaster, PA

Quantum Machine Learning Engineer information

See Lancaster, PA salary details

$30.6K

$125.1K

$188.1K

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

As of Aug 11, 2026, the average yearly pay for quantum machine learning engineer in Lancaster, PA is $125,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $150,600.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Lancaster, PA? For Quantum Machine Learning Engineer jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Lancaster, PA look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Quantum Machine Learning Engineer jobs? Cities near Lancaster, PA with the most Quantum Machine Learning Engineer job openings:
Quantum Machine Learning Engineer jobs near you

Systems Integrations Analyst

Graham Packaging Company

Lancaster, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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 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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