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Quantum Machine Learning Jobs in Houston, TX (NOW HIRING)

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Quantum Machine Learning information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do quantum machine learning jobs pay per year?

As of Jun 17, 2026, the average yearly pay for quantum machine learning in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

What are popular job titles related to Quantum Machine Learning jobs in Houston, TX? For Quantum Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
Principal Consultant - Data Science

Principal Consultant - Data Science

Neudesic, an IBM Company

Houston, TX

Full-time

Medical, Vision, Retirement

Posted 5 days ago


Job description

Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.

Role Summary

Neudesic is currently seeking a Principal Consultant - Data Science for our Data & AI Practice. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. The ideal candidate will have broad and deep expertise across modern technologies and the ability to design end-to-end solutions that align with client business objectives. You should be adept at engaging senior level technology leaders and driving conversations around data management, real-time and predictive analytics, and data visualization to deliver measurable business value.

To be successful, you will demonstrate strong leadership and relationship‑building skills, earning the trust of both clients and technical teams. You will drive the successful delivery of machine learning and deep learning initiatives, partnering closely with solution architects to ensure client outcomes through your expertise in data management and visualization solutions. Collaborating with a diverse sales organization, you will represent Neudesic's capabilities and success stories, while contributing to the creation of sales assets that effectively communicate our value proposition to technical and business stakeholders.

Requirements
  • Minimum of 8+ years of professional experience in data science, advanced analytics, or related technical fields
  • 3+ years of hands‑on experience in building and deploying machine learning and/or generative AI solutions in a business environment
  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred
  • Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows
  • Proficient in Python (including ML/AI libraries such as scikit‑learn, PyTorch, TensorFlow) and SQL; experience with R is a plus
  • Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs)
  • Demonstrated ability to work with large, complex datasets and relational/cloud‑based databases (e.g., Azure SQL, Delta Lake)
  • Experience operationalizing ML models and pipelines in production environments
Preferred Qualifications
  • Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.)
  • Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables)
  • Experience with data visualization and BI tools (e.g., Power BI, Tableau)
  • Ability to communicate complex analytical and technical concepts to both technical and non‑technical audiences
  • Strong data storytelling skills and ability to drive insights from exploratory and visual analysis
  • Intellectual curiosity, strong problem‑solving skills, and a collaborative, team‑oriented mindset
  • Demonstrated leadership, relationship‑building, and mentoring abilities
More about our Data & AI Service Line

The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The Data & AI service line represents the evolution from using data solely for reporting past events to harnessing advanced analytics that predict and prescribe future business actions.

Our services include
  • Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data‑thinking.
  • Self‑Service Data Solutions: We create classic self‑service and modern data‑blending solutions that enable end‑users to enrich pre‑authored analytic reports by blending them with additional data sources.
  • Real‑Time Analytic Solutions: We build real‑time analytics solutions on data‑in‑motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets.
  • Machine Learning Solutions: We build machine‑learning solutions that support the most complex decision support systems.

Neudesic also offers professional development and training for our Consultants. This includes opportunities to gain new technical certifications, develop professionally and grow within the company.

Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team’s management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on‑site at a client or Neudesic location.

Neudesic is an Equal Opportunity Employer

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross‑border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Consulting and Information Technology

Industries

IT Services and IT Consulting

Benefits
  • Medical insurance
  • Vision insurance
  • 401(k)

Location: Houston, TX Salary: $80,000.00–$120,000.00

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