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Physics Informed Machine Learning Jobs in Kentucky

$124 - $335/hr

Transforming raw data into actionable insights to support informed decision-making and drive ... Utilizing technical proficiency in machine learning, natural language processing, and data science ...

New

$110 - $170/hr

... Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R / Python * A working understanding of common machine learning algorithms and ...

$101 - $126/hr

This role focuses on accelerating innovation by combining computational science, machine learning ... Develop and apply molecular, statistical and computational, chemistry-informed solutions to ...

New

$99 - $225/hr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ...

New

$180 - $200/hr

... enable informed decision-making and deliver measurable business value worldwide.**Essential Job ... Deep expertise in advanced analytics, machine learning, statistical modeling, forecasting ...

$140 - $210/hr

To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced ... PhD in mathematics, physics, computer science, engineering, or related quantitative field * Strong ...

$90 - $130/hr

... informed decisions.* Investigate recurring operational issues and recommend opportunities for ... AI, machine learning, anomaly detection, and predictive analytics** is a plus.## Preferred ...

New

$190 - $220/hr

A bachelor's degree, required; concentration in Computer Science, Math, Physics or other ... machine learning techniques and handling large datasets; skilled in data visualization and ...

NGA AI Engineer Manager

Louisville, KY · On-site

$73K - $244K/yr

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 ...

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 ...

$113 - $183/hr

... of sensor physics, sensor calibration, noise modeling, and environmental effects impacting perception systems.* Experience developing synthetic data generation solutions for machine learning ...

New

$108 - $176/hr

... machine learning. Our goal is to create programmable biological measurement systems capable of ... Strong understanding of MEMS device physics and materials selection. * Experience with wafer-level ...

$150 - $230/hr

Advanced Degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical ... To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced ...

New

$170 - $250/hr

Bachelor's degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or related ... Experience with statistical analysis, machine learning, and quantitative modeling techniques * Must ...

$99 - $225/hr

... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ... Experience with natural language processing, text mining, or machine learning techniques*

... informed. * Serve as a storytelling partner to Enterprise AI leadership, helping frame AI ... Machine learning lifecycle and MLOps * Generative AI and LLM ecosystems * Data architectures and ...

... informed. * Serve as a storytelling partner to Enterprise AI leadership, helping frame AI ... Machine learning lifecycle and MLOps * Generative AI and LLM ecosystems * Data architectures and ...

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 are popular job titles related to Physics Informed Machine Learning jobs in Kentucky?

For Physics Informed Machine Learning jobs in Kentucky, the most frequently searched job titles are:

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

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

Infographic showing various Physics Informed Machine Learning job openings in Kentucky as of August 2026, with employment types broken down into 6% Internship, 41% Full Time, 46% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

Tax Innovation - Data and Analytics Engineering - Senior Manager

PRICE WATERHOUSE COOPERS

On-site

$124 - $335/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

The Opportunity

As a Tax Innovation - Data and Analytics Engineering - Senior Manager, you will lead the development of AI and GenAI solutions, including analytical modeling and prompt engineering, transforming raw data into actionable insights to drive business growth. Within our Tax practice, you will leverage your skills and professional networks to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams.

In this role at PwC, you will focus on designing and developing robust data solutions for clients, playing a crucial role in enabling informed decision-making. You will craft and convey clear, impactful messages that tell a holistic story, apply systems thinking to identify underlying problems, and validate outcomes with clients. Your ability to direct teams through complexity and demonstrate composure in challenging situations will contribute to the overall success of our firm.

Responsibilities
  • Leading the development and deployment of AI and GenAI solutions, including analytical modeling and prompt engineering
  • Designing, testing, and maintaining AI architectures to deliver end-to-end solutions for clients
  • Transforming raw data into actionable insights to support informed decision-making and drive business growth
  • Applying systems thinking to identify underlying problems and opportunities within data and analytics projects
  • Validating outcomes with clients and incorporating feedback to refine solutions
  • Directing teams through complex and ambiguous situations, demonstrating composure and strategic problem-solving
  • Initiating coaching conversations to motivate and develop high-performing, diverse, and inclusive teams
  • Utilizing technical proficiency in machine learning, natural language processing, and data science to enhance AI capabilities
  • Collaborating with stakeholders to identify data challenges and develop innovative solutions using Azure AI Services and LangChain
  • Implementing retrieval-augmented generation techniques to optimize data utilization and improve business performance
What You Must Have
  • At least a Bachelor's degree
  • At least 7 years of experience
What Sets You Apart
  • Leveraging skills in AI-Powered Contact Center Solutions
  • Utilizing Azure AI Services for innovative solutions
  • Applying knowledge in Natural Language Processing (NLP)
  • Demonstrating proficiency in Python programming
  • Excelling in Machine Learning and Generative AI
  • Developing strategies using LangChain and LangGraph
  • Implementing Retrieval-Augmented Generation techniques

The salary range for this position is: $124,000 - $335,000. 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-glance

As 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-work

For 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.

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