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Physics Informed Machine Learning Jobs in Ohio (NOW HIRING)

Ferroglobe PLC

Business Data Analyst

Marietta, OH · On-site

They are seeking a motivated Business Data Analyst to drive data-informed decision-making by ... Apply statistical and machine learning techniques to build predictive models and conduct ...

Geo Owl LLC

Sr Space Imagery Scientist

Dayton, OH

$88K - $121K/yr

Master's degree in Image Science, Electrical Engineering, Physics, Computer Science, or related ... Experience with machine learning, GPU processing, or advanced image enhancement techniques

STR

Lead Algorithm & Signal Processing Engineer

Dayton, OH · On-site

$157K - $220K/yr

Design and apply cutting-edge signal processing and machine learning techniques to solve complex ... Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ...

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

... drive data-informed decision-making across the organization. The ideal candidate is both ... Apply statistical and machine learning techniques to build predictive models and conduct ...

Pwc

AI & GenAI Data Scientist - Manager

Toledo, OH · 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH · 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Cleveland, OH · 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Cincinnati, OH · 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 ...

Philips

Research Scientist-Computed Tomography

Orange, OH · On-site

$114K - $183K/yr

Maintains deep expertise in CT physics processing algorithms, evaluating the downstream impact of ... Experience with machine learning frameworks such as PyTorch and TensorFlow preferred, with the ...

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Physics Informed Machine Learning information

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 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 is a Physics Informed Machine Learning job?

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 popular job titles related to Physics Informed Machine Learning jobs in Ohio? For Physics Informed Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Ohio look for? The top searched job categories for Physics Informed Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Physics Informed Machine Learning jobs? Cities in Ohio with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Ohio as of June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 12% Part Time, 3% Contract, and 2% Nights. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.
Senior Data Scientist Engineer - SFL Scientific

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Cincinnati, OH • On-site

Full-time

Posted 27 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that provides strategic and transactional services to clients. They are seeking a Senior Data Scientist to collaborate with clients on designing and developing innovative data science projects and solutions, focusing on AI and machine learning applications.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
• 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 2008, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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