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Quantum Machine Learning Engineer Jobs in Palm Harbor, FL

Five (5) or more years of experience in data engineering, data science, or a related role, with ... Strong working knowledge of machine learning methodologies, including supervised learning (e.g ...

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Senior Data Engineer

Tampa, FL · On-site

$77K - $176K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Senior Data Engineer

Tampa, FL · On-site

$99K - $225K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Senior AI Engineer - SFL Scientific

Tampa, FL · On-site

$98K - $135K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

Showing results 21-40

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 Aug 22, 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 job categories do people searching Quantum Machine Learning Engineer jobs in Palm Harbor, FL look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in Palm Harbor, FL are:

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:

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.

Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate

Pwc

Tampa, FL • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work.
In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. Your work will contribute to the broader objectives of your projects, fitting into the overall strategy and reinforcing professional and technical standards.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable software and platform systems using advanced algorithms and data engineering techniques
- Collaborating with clients to understand their needs and deliver tailored data solutions
- Utilizing programming languages such as Python and Java to build and deploy AI models
- Integrating data from various sources to enhance data quality and infrastructure
- Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance
- Conducting complex data analysis to support informed decision-making and business growth
- Building and maintaining data pipelines to streamline data processing and analysis
- Leveraging natural language processing tools to develop innovative text analytics solutions
- Mentoring junior team members and guiding them in technical and professional development
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and Java for complex data analysis and modeling
- Excelling in data integration and data pipeline development
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK