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Physics Informed Machine Learning Jobs in Tennessee

Managed Services - Data, Analytics & AI - Manager

Nashville, TN · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... make informed business decisions. They utilise advanced analytics techniques to help clients ... Responsibilities - Oversee the thorough delivery of AI and machine learning projects - Inspire and ...

US Tech - AI Engineering Senior Associate

Nashville, TN · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

NGA AI Engineer Manager

Nashville, TN · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Staff MLOps Engineer

Franklin, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud ... Ability to make timely, informed decisions that are in the best interest of our patients, employees ...

Staff MLOps Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud ... Ability to make timely, informed decisions that are in the best interest of our patients, employees ...

US Tech - AI Engineering Manager

Nashville, TN · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Staff MLOps Engineer

Lebanon, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud ... Ability to make timely, informed decisions that are in the best interest of our patients, employees ...

Staff MLOps Engineer

Murfreesboro, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud ... Ability to make timely, informed decisions that are in the best interest of our patients, employees ...

Solutions Engineer- On SIte

Tullahoma, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We develop software products involving advanced machine learning and property graph representations ... physics, or a related technical field. Benefits At Tenet3, we offer a comprehensive benefits ...

Solutions Engineer- On SIte

Tullahoma, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We develop software products involving advanced machine learning and property graph representations ... physics, or a related technical field. Benefits At Tenet3, we offer a comprehensive benefits ...

Showing results 41-60

Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What cities in Tennessee are hiring for Physics Informed Machine Learning jobs?

Cities in Tennessee with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Tennessee as of August 2026, with employment types broken down into 6% Internship, 47% Full Time, 41% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Managed Services - Data, Analytics & AI - Manager

Pwc

Nashville, TN • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Managed Services team, you will lead the end-to-end delivery of AI and machine learning services, driving innovation and operational excellence. As a Manager, you will motivate and inspire your team, oversee quality deliverables while fostering meaningful client relationships and navigating complex challenges. This role offers a unique chance to shape the future of AI solutions, collaborate with diverse teams, and enhance your leadership skills in a dynamic environment.
Responsibilities
- Oversee the thorough delivery of AI and machine learning projects
- Inspire and motivate team members to achieve excellence in their work
- Cultivate substantial relationships with clients to understand their needs
- Navigate and resolve complex challenges in project execution
- Collaborate with cross-functional teams to drive innovation
- Confirm quality outputs that meet client expectations
- Utilize data-driven insights to enhance service delivery
- Foster a culture of continuous improvement and learning within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience
What Sets You Apart
- Demonstrating leadership in AI/ML service delivery
- Managing end-to-end AI/ML service operations
- Leading client discussions on AI pipeline operationalization
- Implementing monitoring for AI models in production
- Guiding junior team members in AI systems
- Collaborating with architects and engineers for compliance
- Driving development of reusable AI components
- Leading Data & Analytics project delivery
- Demonstrating experience with ITIL processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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