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Quantum Machine Learning Engineer Jobs in Lancaster, PA

Penske

Manager - Advanced Analytics

Reading, PA

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data ...

Penske

Manager - Advanced Analytics

Reading, PA · On-site

... of machine learning engineers. • Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data ...

Judge Group, Inc.

Elastic Engineer - Security

Lampeter, PA · On-site

$85 - $90/hr

Implement and enhance machine learning and anomaly detection capabilities. * Configure and manage ... Contribute to automation and software engineering initiatives that enhance security operations.

Posted today

Chenega Corporation

Chief Data Officer

Street, MD · On-site

$150 - $200/hr

Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental ...

New

Penske

Data Scientist

Reading, PA

Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic ...

Mersen USA Holding Corp

Machine Operator

Robesonia, PA · On-site

$15.50 - $18.25/hr

Knowledge of G-Coding programming, desired. * Ability to read complex blueprints and understand GD ... Learn and grow with us through our Learning and Development training programs * We champion ...

MERSEN USA HOLDING CORP.

Machine Operator

Robesonia, PA

$15.50 - $18.25/hr

Knowledge of G-Coding programming, desired. * Ability to read complex blueprints and understand GD ... Learn and grow with us through our Learning and Development training programs * We champion ...

Ross Technology Corporation

Machine Operator

Leola, PA · On-site

$19.50/hr

We engineer and manufacture structural steel racking systems to safely meet nearly any weight ... learning new things once tasks assigned have been mastered. * Ability to read and understand ...

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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 Jul 15, 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 the salary of quantum machine learning engineer?

The salary of a quantum machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum algorithms and programming languages like Python or Qiskit may offer higher compensation. Many positions also include benefits such as research opportunities and access to advanced quantum computing tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum hardware. The field is emerging, with high demand for specialized skills in quantum algorithms, programming languages like Qiskit, and understanding of both quantum physics and data science. Careers in this area can be rewarding but often require advanced education and continuous learning due to rapid technological advancements.

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.

Will MLE be replaced by AI?

Quantum Machine Learning Engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum systems. While AI continues to advance, quantum computing is expected to complement classical machine learning rather than replace it entirely, and MLE roles will evolve to incorporate new quantum techniques and tools. Continuous learning in both quantum algorithms and machine learning is essential for professionals in this field.

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, and why are they important?

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 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
Manager - Advanced Analytics

Manager - Advanced Analytics

Penske

Reading, PA

Full-time

Re-posted 3 days ago

Job description

Summary Statement:
Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects.
 
Key Responsibilities:
Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes.
Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations.
Manage a team of machine learning engineers.
Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering).
Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area.
 
Responsibilities:
Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps.
Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments.
Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI).
Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity.
Ensure applications and environments are available and supported as per agreed SLAs.
Enforce best practices and compliance with AI Governance principles.
Follow IT practices in security, licensing, source code management, incident management, and architectural standards.
Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members.
Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs.
Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions.
Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management.
Identify skill gaps within teams and develop plans to bridge them.
Foster collaboration among associates and within work groups.
Use dashboards and metrics to prioritize work and ensure project milestones are met.
 
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
3+ years of leadership experience leading machine learning engineers.
3 - 5 years of large enterprise-wide program/project management experience.
2+ years' experience with cloud platforms, preferably AWS.
Strong experience with Agile/MLOps approaches or methodologies.
Strong Technical Project Management experience.
Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models.
Working knowledge of one or more Machine Learning Platforms.
Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions.
Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders.
Experience working with business leadership to establish a project/program application development roadmap.
Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions.
Demonstrated ability to break technical solutions into logical units and show information or data flow.
Full fluency and expert-level knowledge in systems/languages applicable to the role.
Full understanding of system development lifecycle, methodologies, and standards.
Working knowledge of Generative AI and Agentic solutions preferred.
Green Belt, Black Belt, Lean, or PMP certification preferred.

Physical Requirements
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
The associate must regularly lift and /or move up to 25lbs/12kg. 
Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. 
While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms.

Penske is an Equal Opportunity Employer. 

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