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Senior Machine Learning Jobs in Ohio (NOW HIRING)

Logix Guru

Data Scientist: III (Senior)

Columbus, OH · On-site

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise ... Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ...

Genesis10

Senior Data Scientist

Columbus, OH

$55 - $62.50/hr

Genesis10 is currently seeking a Senior Data Scientist for a direct-hire position with a Regional ... Up-to-date knowledge of machine learning and data analytics tools and techniques Knowledge in ...

Apex Systems

Data Scientist (Senior)

Columbus, OH · On-site

Job#: 3026627 Data Scientist (Senior) Location: Columbus, Ohio (Onsite) Employment Type: Contract ... Conduct research on techniques and tools in machine learning and artificial intelligence.

Deloitte

Senior AI Engineer - SFL Scientific

Cincinnati, OH · On-site

$100.30K - $137.70K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Deloitte

Senior AI Engineer - SFL Scientific

Cleveland, OH

$101.30K - $139.20K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100.90K - $138.60K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Medpace, Inc.

Senior AI Engineer

Cincinnati, OH

$117.60K - $155.10K/yr

We are currently seeking a Senior professional with experience with artificial intelligence (AI ... Design, implement, and deploy machine learning models and systems to solve complex problems and ...

84.51°

Senior Data Scientist (P3358)

Cincinnati, OH · On-site

Senior Data Scientist / P3358 Summary We are seeking a Senior Data Scientist to join our ... The ideal candidate combines deep technical expertise in machine learning and AI with strong ...

Medpace, Inc.

Senior AI Engineer

Cincinnati, OH · On-site

$117.60K - $155.10K/yr

We are currently seeking a Senior professional with experience with artificial intelligence (AI ... Design, implement, and deploy machine learning models and systems to solve complex problems and ...

Deloitte

AI Data Engineer Senior Consultant

Cleveland, OH · On-site +1

$102.80K - $139.70K/yr

AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

Deloitte

AI Data Engineer Senior Consultant

Cincinnati, OH · On-site +1

$101.70K - $138.20K/yr

AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

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Senior Machine Learning information

See Ohio salary details

$23.8K

$76.3K

$155.4K

How much do senior machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for senior machine learning in Ohio is $76,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $97,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in Ohio? The most popular types of Machine Learning jobs in Ohio are:
What are popular job titles related to Senior Machine Learning jobs in Ohio? For Senior Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in Ohio look for? The top searched job categories for Senior Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Senior Machine Learning jobs? Cities in Ohio with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you

Data Scientist: III (Senior)

Logix Guru

Columbus, OH • On-site

Full-time

Posted 12 days ago

Job description

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Duties and Responsibilities:
  • Ability to use advanced analytics methods to extract value from business data.
  • Ability to perform large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Influences product teams through presentation of data-based recommendations.
  • Performs other duties as assigned.

Basic Qualifications:
  • Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
  • or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years' work experience in analytics or data science
  • Experience with R, RStudio, Python, SAS, SQL, NoSQL

Preferred Qualifications:
  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
  • Work and/or educational experience with big data analysis tools and techniques
  • Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
  • Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Financial Services background

About Candidate:
  • A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
  • Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
  • Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
  • Experience in banking or financial services is a plus

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