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Machine Learning Engineer Jobs in Milford, OH (NOW HIRING)

Diverse Lynx

ML Ops Engineer

Cincinnati, OH · On-site

They are seeking an ML Ops Engineer to develop and deploy solutions using AWS technologies ... Machine Learning certification Company : Diverselynx IT Consulting Services Founded in 2002, the ...

Deloitte

Lead AI and Data Science Engineer II

Cincinnati, OH · On-site

$98K - $129K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Accenture

Lead AI / ML Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Developing and deploying machine learning models and AI solutions. At least 2 from the following ... Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine ...

Tata Consultancy Services

GEN AI Developer

Cincinnati, OH · On-site

$49.75 - $64.50/hr

Responsibilities : • GenAI Application Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices • At least one must have concrete machine learning experience ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical ...

3B Staffing LLC

Senior AI/ML Engineer

Mason, OH · On-site

$98K - $134K/yr

Machine Learning & Model Training * Training, evaluation, fine-tuning * Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based applications * Document Processing

New

3B Staffing LLC

Senior AI/ML Engineer

Mason, OH · On-site

$98K - $134K/yr

Machine Learning & Model Training * Training, evaluation, fine-tuning * Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based applications * Document Processing

New

Pwc

US Tech - AI Engineering Manager

Cincinnati, OH · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Cyber - SecOps - Consultant

Cincinnati, OH · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Understanding of AI, Machine Learning, and generative AI technologies. * Experience implementing AI ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Understanding of AI, Machine Learning, and generative AI technologies. * Experience implementing AI ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Understanding of AI, Machine Learning, and generative AI technologies. * Experience implementing AI ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Milford, OH

Machine Learning Engineer information

See Milford, OH salary details

$27.4K

$112K

$168.3K

How much do machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer in Milford, OH is $111,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Milford, OH are hiring for Machine Learning Engineer jobs? Cities near Milford, OH with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Milford, OH as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,996 per year, or $53.8 per hour.

ML Ops Engineer

Diverse Lynx

Cincinnati, OH • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Diverse Lynx is a company that values diversity and equal opportunity in the workplace. They are seeking an ML Ops Engineer to develop and deploy solutions using AWS technologies, focusing on observability and multi-tenant SaaS applications.
Qualifications:
Required:
• Python
• OAuth2/OIDC
• mTLS
• AWS Lambda
• AWS API Gateway / GCP Apijee
• DynamoDB
• AWS RDS
• RestfulAPI
• Git + GitHub
• CloudWatch
• OpenTelemetry
• Distributed Tracing
• MCP Protocol
• Multi-tenant SaaS
• AWS Bedrock
• AWS SageMaker
• AgentCore
• HIPAA/PHI Awareness
• Rate Limiting
• 3-5 years of AWS cloud development and deployment experience
Preferred:
• AWS Certified Machine Learning certification
Company:
Diverselynx IT Consulting Services Founded in 2002, the company is headquartered in Princeton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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