1

Quantum Machine Learning Engineer Jobs in Murfreesboro, TN

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

NGA AI Engineer Manager

Nashville, TN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Civil Engineer

Nashville, TN · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Civil Engineer

Nashville, TN · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Civil Engineer

Nashville, TN · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Lead AI and Data Science Engineer II

Nashville, TN · On-site

$99K - $130K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

... Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related ...

Civil Engineer

Nashville, TN · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Civil Engineer

Nashville, TN · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Lead AI and Data Science Engineer II

Hermitage, TN · On-site

$89K - $118K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Showing results 41-60

Quantum Machine Learning Engineer information

See Murfreesboro, TN salary details

$27.8K

$113.5K

$170.5K

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

As of Aug 11, 2026, the average yearly pay for quantum machine learning engineer in Murfreesboro, TN is $113,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $136,600.00 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.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Murfreesboro, TN? For Quantum Machine Learning Engineer jobs in Murfreesboro, TN, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Murfreesboro, TN look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Murfreesboro, TN are:
What cities near Murfreesboro, TN are hiring for Quantum Machine Learning Engineer jobs? Cities near Murfreesboro, TN with the most Quantum Machine Learning Engineer job openings:
Infographic showing various Quantum Machine Learning Engineer job openings in Murfreesboro, TN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $113,464 per year, or $54.5 per hour.

Generative AI Engineer III - State and Local Government

Deloitte

Nashville, TN • On-site

$55.50 - $74.50/hr

Full-time

Re-posted yesterday


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom