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Quantum Machine Learning Engineer Jobs in Palm Harbor, FL

Revenue Management Solutions

Data Scientist

Tampa, FL · On-site

... engineering and model development * Engage and support internal teams to articulate processes and results SKILLS AND QUALIFICATIONS * Working Knowledge of statistics, machine learning/deep - learning ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Crowe LLP

Machine Learning Engineer

Tampa, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Five (5) or more years of experience in data engineering, data science, or a related role, with hands-on experience in building and deploying machine learning models. CERTIFICATES, LICENSES ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Palm Harbor, FL

Quantum Machine Learning Engineer information

See Palm Harbor, FL salary details

$27.7K

$113.4K

$170.4K

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

As of Sep 3, 2026, the average yearly pay for quantum machine learning engineer in Palm Harbor, FL is $113,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $136,500.00 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 cities near Palm Harbor, FL are hiring for Quantum Machine Learning Engineer jobs?

Cities near Palm Harbor, FL 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 Palm Harbor, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $113,396 per year, or $54.5 per hour.

Data Scientist

Revenue Management Solutions

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Description
THE OPPORTUNITY
As a Data Scientist, you will have the opportunity to learn and apply RMS' methodologies to solve analytical problems critical to driving high-end business value to our clients. This position requires an applied knowledge of Data Science and Deep Learning as well as demonstrating an ability to code in Python and SQL.
RIGHT TO WORK
Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.
WHO YOU'LL WORK WITH
You'll work in our Tampa office as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to develop machine learning or deep-learning models, perform exploratory data analysis, and apply data mining techniques. We take pride in encouraging each other's career ambitions and you'll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.
WHAT YOU'LL DO
  • Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
  • Create project plans, test various approaches, and evaluate results to answer key business questions
  • Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
  • Develop documentation outlining methodology, feature engineering and model development
  • Engage and support internal teams to articulate processes and results

SKILLS AND QUALIFICATIONS
  • Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
  • Hands on experience coding in Python
  • Experience working with large data sets
  • Practical experience with Git and use of repositories for source control
  • Strong interpersonal and communication skills, both verbal and written
  • Ability to effectively manage simultaneous projects and deadlines
  • Bachelor's degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required

PREFERRED
  • Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering

BENEFITS
as a full-time RMS Employee, you will be eligible for:
  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  • Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking and health club membership
  • Paid parental leave

WHO WE ARE
Revenue Management Solutions (RMS) partners with restaurant brands to navigate an increasingly complex operating environment. Trusted by more than 50 leading brands across 40+ countries, we deliver data-driven analytics and technology-enabled solutions that optimize pricing, menus, and overall financial performance. Six of the top 10 U.S. quick-service brands and 16 of the top 30 global restaurant brands-representing more than 100,000 restaurants worldwide-rely on RMS to make informed business decisions that drive profitability while addressing rising costs, including inflation and labor. RMS holds five U.S. patents in menu pricing and customer segmentation and actively supports academic research to advance the field of revenue management.
Learn more at revenuemanage.com.
WHAT WE BELIEVE
Our goal at RMS is to create positive change in the communities we serve. With team members representing over 20 countries, we respect and embrace diverse perspectives, cultures, and experiences. We believe our differences strengthen our work and help us deliver better outcomes for our clients and each other.
Revenue Management Solutions is an equal opportunity employer and E-Verify participant. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or any other characteristic protected by applicable law.

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