

Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Cincinnati, Ohio, on a full-time contract (more than 6 months) with no C2C or sponsorship. Requires 3–5+ years in machine learning, MLOps, and experience in regulated industries. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
June 18, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Scala #Data Security #Docker #R #Deployment #ML (Machine Learning) #Kubernetes #Terraform #SQL (Structured Query Language) #Data Engineering #Data Integration #Jenkins #DevOps #Data Science #Java #Snowflake #Compliance #Security #Python #GitHub #Jira
Role description
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Senior Machine Learning Engineer
📍 Cincinnati, Ohio, United States (On-site)
🕒 Full-Time | Contract | No C2C or Sponsorship
About Encore Talent Solutions
Encore Talent Solutions is a trusted professional services firm dedicated to helping organizations achieve their goals by providing exceptional talent solutions. We partner closely with our clients to understand their unique culture and operational needs, delivering proactive support during times of growth, transition, and change. Our mission is to connect top talent with meaningful opportunities to drive business success.
About the Role
Encore Talent Solutions is seeking a Senior Machine Learning Engineer to lead the full model lifecycle — from development to deployment — with a strong emphasis on MLOps, CI/CD, and enterprise-scale integration. If you're passionate about building scalable, production-ready models and have experience working in highly regulated industries (banking, finance, or healthcare), we’d love to talk to you.
Key Responsibilities
🔹 Model Development & Deployment
• Build scalable, reliable, and maintainable ML models
• Apply best practices across training, validation, and deployment workflows
🔹 MLOps & CI/CD Pipeline Management
• Design and maintain automated pipelines for model testing, training, and deployment
• Monitor performance and drive continuous improvement initiatives
🔹 Enterprise Data Integration
• Integrate models into IBM DB2 and Snowflake environments
• Collaborate with data engineering teams to ensure efficient data flows
🔹 Collaboration & Communication
• Partner with data scientists, engineers, and stakeholders to align technical solutions with business goals
• Present complex ML concepts to technical and non-technical audiences
🔹 Security & Compliance
• Adhere to data security protocols and ensure compliance with industry regulations
What You Bring
✅ 3–5+ years of experience in machine learning and MLOps
✅ Strong background with IBM DB2, Snowflake, and modern DevOps tools (Jira, Terraform, GitHub, Jenkins)
✅ Proficiency in Python, R, SQL, and/or Java
✅ Familiarity with Docker and Kubernetes
✅ Experience in regulated industries (finance, banking, or healthcare) is a plus
✅ Strong communication and mentorship skills