1

Quantum Machine Learning Engineer Jobs in Orlando, FL

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Showing results 41-60

Quantum Machine Learning Engineer information

See Orlando, FL salary details

$29.4K

$120.2K

$180.6K

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

As of Sep 2, 2026, the average yearly pay for quantum machine learning engineer in Orlando, FL is $120,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,700.00 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.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What are popular job titles related to Quantum Machine Learning Engineer jobs in Orlando, FL?

For Quantum Machine Learning Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What cities near Orlando, FL are hiring for Quantum Machine Learning Engineer jobs?

Cities near Orlando, FL with the most Quantum Machine Learning Engineer job openings:

Full-time

Posted 4 days ago


Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.