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Quantum Machine Learning Engineer Jobs in Roanoke, TX

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

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Quantum Machine Learning Engineer information

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$30.2K

$123.7K

$185.8K

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

As of Aug 16, 2026, the average yearly pay for quantum machine learning engineer in Roanoke, TX is $123,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $148,800.00 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.

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.

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 cities near Roanoke, TX are hiring for Quantum Machine Learning Engineer jobs?

Cities near Roanoke, TX with the most Quantum Machine Learning Engineer job openings:

Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Roanoke, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $123,651 per year, or $59.4 per hour.

Lead Applied AI & Machine Learning Engineer

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 3 days ago

New

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


Build what's next in enterprise AI-solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions.
As an Applied AI and Machine Learning Lead in the Corporate Technology Data Science and AI team, you will Build what's next in enterprise AI-solutions that materially improve how teams make decisions, automate work, and serve internal customers. In this role, you will take generative AI from concept to production and help set the standard for semantic consistency across systems. You will partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. If you enjoy solving hard problems with real impact, this is the opportunity.
Job Responsibilities
  • Build generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment with measurable outcomes
  • Design context engineering approaches to improve model accuracy, latency, reliability, and end-to-end user experience
  • Lead enterprise semantic modeling strategy, including ontology standards, governance practices, and lifecycle management
  • Partner with domain experts to create scalable ontologies that represent business entities, relationships, rules, and constraints
  • Define semantic integration patterns across data pipelines, application programming interfaces (APIs), data contracts, and experience layers to resolve semantic conflicts
  • Establish and govern a unified semantic layer that enables trusted analytics across business intelligence, machine learning, and transactional systems
  • Enable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration approaches
  • Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations
  • Implement responsible AI practices, model risk controls, and governance aligned to regulated environments
  • Mentor engineers and data scientists, raising the bar on engineering rigor, reuse, and continuous improvement across the team

Required Qualifications, Capabilities, and Skills
  • Master's degree in a data science-related discipline and eight years of industry experience, or PhD in a data science-related discipline
  • Demonstrated experience developing and deploying machine learning and generative AI solutions using Python
  • Proven ability to write and maintain production-quality code, including documentation and maintainable design patterns
  • Experience building automated testing practices, including unit tests, and implementing continuous integration pipelines
  • Experience building and managing data pipelines and processing workflows for analytics and machine learning use cases
  • Strong scientific thinking and structured problem-solving skills, including hypothesis-driven analysis and metric definition
  • Strong written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders
  • Demonstrated ownership and attention to detail when operating in ambiguous, complex problem spaces
  • Ability to work independently while collaborating effectively across product, engineering, data, and business partners

Preferred Qualifications, Capabilities, and Skills
  • Experience designing or governing semantic models and ontologies, including taxonomy design and lifecycle governance
  • Experience implementing retrieval-augmented generation, tool use, and evaluation strategies for large language model applications
  • Familiarity with responsible AI techniques, including bias testing, explainability approaches, and model monitoring standards
  • Experience designing scalable architectures for real-time or near-real-time inference and intelligent workflow orchestration
  • Experience influencing cross-functional technical direction and mentoring engineers through design reviews and delivery execution

#LI-RB3
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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