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Physics Informed Machine Learning Jobs in Fort Worth, TX

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

... drive data-informed decision-making across the enterprise. Oversee teams of data scientists ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX

$156K - $290K/yr

... drive data-informed decision-making across the enterprise. Oversee teams of data scientists ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Photon

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Vizient, Inc

AVP, Machine Learning & Modeling

Irving, TX · On-site

$157 - $290/hr

... drive data-informed decision-making across the enterprise. Oversee teams of data scientists ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

New

HRB

Forward Deployed AI Engineer (Palantir)

Dallas, TX · On-site

$120 - $180/hr

Bachelor's or Master's degree (or equivalent practical experience) in Computer Science, Software Engineering, Mathematics, Physics, Machine Learning, or a related technical field. Business ...

New

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field ... Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques * Experience in data ...

Ziosk

Product Manager (on-site)

Plano, TX · On-site

Develop and maintain an AI informed product roadmap, prioritizing features and enhancements based on customer feedback, market signals, predictive KPIs, and opportunities where AI or machine learning ...

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related ... Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques * Experience in data ...

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

As of Aug 21, 2026, the average hourly pay for physics informed machine learning in Fort Worth, TX is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $24.42 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 are popular job titles related to Physics Informed Machine Learning jobs in Fort Worth, TX?

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

What job categories do people searching Physics Informed Machine Learning jobs in Fort Worth, TX look for?

The top searched job categories for Physics Informed Machine Learning jobs in Fort Worth, TX are:

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Physics Informed Machine Learning jobs near you

AVP, Machine Learning & Modeling

Vizient, Inc.

Irving, TX • On-site

$156K - $290K/yr

Full-time

Posted 4 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
In this role, you will lead the design, development, and implementation of advanced analytics, statistical modeling, and artificial intelligence solutions to drive data-informed decision-making across the enterprise. Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable solutions that support strategic business objectives, operational excellence, and client value creation. Serve as a key thought leader, guiding the organization's data science strategy, ensuring model governance and compliance, and advancing the use of cutting-edge machine learning methodologies.
Role Responsibilities:
Strategic Leadership and Vision
Provide strategic direction for the organization's machine learning and modeling initiatives. Develop and execute a roadmap for data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive analytics, and optimization.
Model Development and Deployment
Oversee the design, development, and validation of statistical, econometric, and machine learning models that support forecasting, risk assessment, operational efficiency, and client performance improvement. Ensure model accuracy, interpretability, and ethical use of data.
Model Governance and Compliance
Establish and maintain robust model governance frameworks, including documentation, version control, validation, and ongoing performance monitoring. Partner with risk management and compliance teams to ensure adherence to regulatory and ethical standards.
Team Development and Leadership
Lead and mentor a multidisciplinary team of data scientists, ML engineers, and quantitative analysts. Foster a culture of innovation, continuous learning, and collaboration while ensuring alignment with business priorities and project timelines.
Cross-Functional Collaboration
Collaborate with business leaders, IT, and analytics stakeholders to identify opportunities for data science applications that drive measurable business outcomes. Translate complex analytical results into actionable insights for executive decision-making.
Research and Innovation
Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and scalability. Promote experimentation and best practices in applied data science.
Requirements:
  • Bachelors or Masters or Doctorate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field preferred
  • Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks).
  • Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML, Databricks, etc.)
  • Knowledge of ML Ops, model governance, and lifecycle management best practices.
  • Demonstrated ability to translate business problems into analytical frameworks and deliver measurable outcomes.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to present complex findings to non-technical audiences.
  • Proven experience building and leading high-performing data science teams in a large, matrixed organization.
  • Familiarity with healthcare, financial, or operational analytics.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $290,100.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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