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Quantum Machine Learning Engineer Jobs in Orlando, FL

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Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML). • Programming: Expert-level skills in SQL, Python, and R. • Automation & Apps: Experience with ...

Disney Experiences

Sr Software Engineer

Orlando, FL

$135K - $181K/yr

Apply machine learning and AI techniques to optimize licensing workflows * Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence. * Stay ...

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Apple

GPU Design Verification Engineer

Orlando, FL

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

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Quantum Machine Learning Engineer information

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$29.4K

$120.2K

$180.6K

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

As of Aug 10, 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.

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.
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Quantum Machine Learning Engineer jobs near you

Data Engineer

Innovative Information Technologies, Inc

Orlando, FL • On-site

$106K - $128K/yr

Other

Re-posted yesterday

Job description

ONLY W2, NO C2C
Data Engineer
Orlando, FL (Onsite)
Duration: 3-6 Months+ Contract
Inperson Interview Required

MUST HAVE Strong experience in BELOW Mandatory skills:
Python, SQL

Nice to have:
Dataiku, Tableau, MLOps (Machine Learning Operations)

Job Knowledge:
Demonstrate expert data engineering skills supporting workflow automation using tools such as Apache Airflow, Databricks, or Azure Data Factory or ML platforms such as Dataiku or DataRobot.
Ability to research, analyze and resolve operational issues such as run-time failures, long-running job execution and/or platform errors in a timely manner.
Provide Root Cause Analysis (RCA) to identify and proactively prevent future issues.
Expert experience working with large volumes of data to include integration and cleansing.
Knowledge of production support concepts such incident reporting, testing, debugging, monitoring, and audits.
Skill in creating and maintaining technical documentation to include run book creation for routine or repeatable operations, code annotation, and other asset documentation.
Strong knowledge of SQL, and Python (3+ years). Snowflake SQL experience preferred.
Familiarity leveraging ML algorithms such as Decision Trees, Logistic Regression, Random Forest and XGBoost using an ML platform and/or an IDE such as Spyder or PyCharm.
Working knowledge of Tableau Desktop/Server.

Relevant Skills:
SQL, Python, Dataiku, Tableau
Ability to develop effective working relationships
Possessing excellent interpersonal skills to include teamwork, facilitation, and negotiation
Ability to work independently or as part of a team to resolve issues
Effective written and verbal communication skills
Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations.

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