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Physics Informed Machine Learning Jobs in New Port Richey, FL

Pwc

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$99K - $297K/yr

... enabling informed decision-making and solving complex business problems. As a Manager, you will ... machine learning and deep learning techniques to drive innovation and improve data-driven ...

PwC South Africa

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$150 - $200/hr

Leading data science initiatives to transform raw data into actionable insights for informed ... Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven ...

Pwc

AI & GenAI Data Scientist - Manager

Tampa, FL · On-site

$99K - $232K/yr

... informed decision-making and driving business growth. Within our Technology Consulting practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Altamira Technologies Corp.

Data Scientist

Tampa, FL · On-site

... machine learning. Data scientists must have a combination of skills that include programming ... Physics, Computer Science, or related fields. * Bachelor's degree is acceptable in the above fields ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

... insights, enabling informed decision-making and driving business growth. Within our Assurance ... machine learning algorithms and predictive modeling to solve complex business problems - Creating ...

Pwc

CTIO AI Engineering Manager

Tampa, FL · 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 ...

Pwc

CTIO - AI Engineer- Senior Manager

Tampa, FL · On-site

$91K - $321K/yr

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

Pwc

AI Solutions Engineering Delivery Lead

Tampa, FL · On-site

$96K - $127K/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 ...

Pwc

US Tech - AI Engineering Manager

Tampa, FL · 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 ...

Pwc

NGA AI Engineer Manager

Tampa, FL · 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 ...

Integrated Power Services

Machinist

Tampa, FL · On-site

$20.50 - $28/hr

Why IPS? If you're searching for a place where you can grow, continue learning, and make a ... You will use a variety of manual machine tools and balancing equipment for rotating machinery ...

Integrated Power Services

Machinist

Tampa, FL · On-site

$20.50 - $28/hr

Why IPS? If you're searching for a place where you can grow, continue learning, and make a ... You will use a variety of manual machine tools and balancing equipment for rotating machinery ...

Raft Company Website

Senior Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Bachelors in Computer Science / Engineering / Physics / Mathematics background Highly preferred: * Prior experience working with Machine Learning Engineers or AI Systems * Python experience is a plus ...

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All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in New Port Richey, FL

Physics Informed Machine Learning information

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How much do physics informed machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for physics informed machine learning in New Port Richey, FL is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $22.69 per hour, depending on experience, location, and employer.

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 job categories do people searching Physics Informed Machine Learning jobs in New Port Richey, FL look for?

The top searched job categories for Physics Informed Machine Learning jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Physics Informed Machine Learning jobs?

Cities near New Port Richey, FL with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you

Data Scientist

Tampa, FL • Hybrid

Careers - Revenue Management Solutions
See more jobs at Careers - Revenue Management Solutionsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Key responsibilities

  • Develop machine learning or deep-learning models to solve analytical problems.

  • Perform exploratory data analysis and create complex datasets and features from disparate sources.

  • Create project plans, test approaches, evaluate results, and document methodology and model development.

Job 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.
Employment Type: Full-Time

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