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Senior Machine Learning Chemistry Jobs in Ohio (NOW HIRING)

Globaldev Group

$100 - $150/hr

We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X, a programmatic advertising platform. You will take end-to-end responsibility for ...

Sabio infotech

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1+ Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and ...

New

Incedo Inc

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal ...

Bjak

$200 - $260/hr

Role As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship ...

United States Digital Space LLC

$180 - $240/hr

RoleAs a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship ...

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Jobgether

$140 - $190/hr

We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights. This role sits at the ...

Ingenieurbüro Gunnar Heimann

$70 - $90/hr

| Startseite > Aktuelle Stellenangebote > Senior Data Scientist (m/w/d) Machine Learning 30.06.26Senior Data Scientist (m/w/d) Machine Learning Laupheim | Vollzeit | Kennziffer; L-11351 Bei Diehl ...

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Senior Machine Learning Chemistry information

What does a senior machine learning chemist do?

A Senior Machine Learning Chemist applies advanced machine learning techniques to solve complex problems in chemistry, such as predicting molecular properties, designing new materials, or accelerating drug discovery. They often work at the intersection of chemistry, computer science, and data analysis, collaborating with interdisciplinary teams. Their responsibilities include developing and optimizing algorithms, analyzing chemical data, and translating scientific questions into computational models to drive innovation in the chemical and pharmaceutical industries.

What are the key skills and qualifications needed to thrive as a senior machine learning chemist?

To thrive as a Senior Machine Learning Chemist, you need a strong background in chemistry, expertise in machine learning algorithms, and an advanced degree (typically a PhD) in chemistry, computational science, or a related field. Proficiency with programming languages like Python, cheminformatics tools (such as RDKit), and experience with data analysis platforms and machine learning frameworks (e.g., TensorFlow, PyTorch) are crucial. Strong problem-solving skills, effective communication, and the ability to work collaboratively across interdisciplinary teams set successful candidates apart. These skills and qualities are vital for developing innovative solutions, translating chemical data into actionable insights, and advancing research and development in the field.

How does a senior machine learning chemistry professional typically collaborate with cross-functional teams in research and development projects?

Senior Machine Learning Chemistry professionals frequently collaborate with interdisciplinary teams, including computational chemists, data scientists, and experimental researchers. They play a key role in translating complex chemical problems into machine learning models, guiding data collection, and interpreting results to inform experimental design. Regular communication and joint planning sessions are common, ensuring that machine learning solutions align with project goals and that model outputs are actionable for the broader R&D team. This collaborative environment fosters innovation and accelerates the development of new materials or drugs.

What is the difference between Senior Machine Learning Chemistry vs Data Scientist?

AspectSenior Machine Learning ChemistryData Scientist
Required CredentialsAdvanced degrees in Chemistry, Data Science, or related fields; experience with machine learning and chemistry-specific toolsDegrees in Computer Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentResearch labs, pharmaceutical companies, biotech firms focusing on chemical data analysisTech companies, finance, healthcare, and various industries analyzing large datasets
Employer & Industry UsageUsed in industries combining chemistry and machine learning, such as drug discovery and materials scienceWidely used across industries for data analysis, predictive modeling, and business insights

While both roles involve data analysis and machine learning, Senior Machine Learning Chemistry specializes in applying these skills to chemical data and research, whereas Data Scientists work across diverse industries analyzing various types of data. The choice depends on your industry focus and expertise in chemistry versus general data analysis.

What are popular job titles related to Senior Machine Learning Chemistry jobs in Ohio?

For Senior Machine Learning Chemistry jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Chemistry jobs in Ohio look for?

The top searched job categories for Senior Machine Learning Chemistry jobs in Ohio are:

What cities in Ohio are hiring for Senior Machine Learning Chemistry jobs?

Cities in Ohio with the most Senior Machine Learning Chemistry job openings:

Senior Machine Learning Chemistry jobs near you

Senior Machine Learning Engineer

Cincinnati, OH • On-site

TUPPL Technology Inc
See more jobs at TUPPL Technology Incexternal

$100K - $137K/yr

Other

Posted 4 days ago

Job description

Role : Senior Machine Learning Engineer

Location: Cincinnati OH

Full-Time 

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal candidate demonstrates technical excellence, leads by example, and has proven experience delivering enterprise-grade machine learning and Generative AI solutions in regulated environments.

Key Responsibilities

  • Design, develop, deploy, and maintain scalable machine learning and Generative AI solutions with a focus on reliability, performance, security, and business value.
  • Champion an automation-first approach to software and AI engineering, identifying opportunities to improve operational efficiency and reduce manual processes.
  • Build and operationalize machine learning models and AI-enabled applications throughout the entire model lifecycle, from experimentation to production deployment and monitoring.
  • Develop and deploy Generative AI applications in production environments, preferably within financial services or other highly regulated industries.
  • Apply and advocate Responsible AI principles, ensuring solutions meet requirements for fairness, explainability, transparency, privacy, security, and compliance.
  • Perform model risk evaluations, complete required governance documentation and questionnaires, and partner with stakeholders to address and remediate identified risks.
  • Establish and maintain frameworks for MLOps, model lifecycle management, monitoring, validation, version control, auditability, and AI governance.
  • Collaborate with Risk, Compliance, Information Security, and business partners to ensure machine learning solutions meet enterprise and regulatory standards.
  • Implement CI/CD pipelines, automated testing, model monitoring, observability, and production support processes for machine learning applications.
  • Evaluate emerging machine learning and AI technologies and recommend appropriate adoption strategies.
  • Mentor team members on best practices in machine learning engineering, MLOps, Responsible AI, and production AI systems.

Required Qualifications

  • Extensive experience designing, developing, and deploying machine learning solutions in production environments.
  • Hands-on experience developing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development frameworks.
  • Strong understanding of machine learning model development, feature engineering, model evaluation, performance optimization, and model monitoring.
  • Experience conducting model risk assessments and supporting governance, compliance, and validation requirements within regulated environments.
  • Practical experience implementing MLOps practices including model deployment, versioning, monitoring, automated retraining, and CI/CD pipelines.
  • Strong understanding of Responsible AI, model explainability, governance, and risk management concepts.
  • Proficiency in Python and modern machine learning ecosystems, including frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, or equivalent technologies.
  • Strong communication, problem-solving, and stakeholder management skills.

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