Top 414 Mlops engineer Jobs in Remote

MLOps Engineer II (Remote)
KOHLS —Menomonee Falls, WI
- Remote
- Computer science
- Computer Science
- Mid-level
Senior Data Engineer, MLOps [Remote-US]
Quanata —Remote
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- Java
- Bachelor's degree
- Travel
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Agentic AI Platform Engineer (with MLOps Expertise)
Prisma Sync Tech —Remote
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General Assembly —New York, NY
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Staff MLOps Engineer
NBCUniversal —New York, NY
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- Computer Science
- 5 years
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MLOps Engineer
CEDENT —Remote
- $40 - $60 an hour
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MLops Engineer
Velvetech —Remote
- Full-time
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Machine Learning Engineer, Co-op
Ancestry.com —Remote
- Part-time
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- Background check
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Senior - MLOps/LLMOps Engineer, Development
CITRIN COOPERMAN ADVISORS LLC —Remote
- $155,000 - $195,000 a year
- Full-time
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- Computer science
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Machine Learning Engineer I
Indeed —Remote
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- Full-time
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2d
Principal Engineer - AI Platform (AI Factory /Advance AI)(Remote Or Hybrid)
Target —Brooklyn Park, MN
- $168,000 - $303,000 a year
- Full-time
- Remote
- Computer Science
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Senior/Staff/Principal AI/ML Engineer - Threat Detection Engineering
AppGate Cybersecurity, Inc. —New York, NY
- $180,000 - $275,000 a year
- Full-time
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- 7 years
- Analysis skills
- Senior level
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AI Engineer
Particle41 —Remote
- Remote
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Senior Data Engineer - Contractor
Cars and Bids, LLC —Remote
- $80 - $120 an hour
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5d
Machine Learning Engineer
Intone Networks —Remote
- Contract
- Mid-level
- Communication skills
- Python
Senior Machine Learning Platform Engineer
Guidewire Software —Remote
- $148,000 - $222,000 a year
- Email
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- Azure
- Computer Science
- Java
- Health insurance
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Data Engineer
Penn Foster Group —Remote
- Full-time
- Remote
- Azure
- High school
- 5 years
- Health insurance
- Dental insurance
Quick Apply
Machine Learning Engineer / Data Scientist
Fusemachines —Remote
- $100,000 - $120,000 a year
- Full-time
- Remote
- Azure
- Mid-level
- 3 years
GenAI Engineer (LLM, RAG & AI Agents)
interaslabs —Remote
- $60 - $65 an hour
- Contract
- Remote
- Azure
- DevOps
- AWS
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11d
AI Engineer
Flexday —Remote
- Remote
- Computer Science
- English
- Presentation skills
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- Parental leave

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MLOps Engineer II (Remote)

KOHLS -
Menomonee Falls, WI

Apply Now

Job Details

Qualifications

AI models
Containerization systems
Continuous Delivery (CD) implementation
Infrastructure as Code (IaC)
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Production systems
Machine learning cloud services
Machine intelligence
Bachelor's degree
Model deployment
Version control systems
Implementing APIs
Developing automated testing protocols
Scalability
Agile software development
Cloud automation
Cloud solution engineering
Distributed computing
DevOps automation
Machine learning libraries
Data analytics tools
Real-time data processing implementation
Batch data processing
Machine learning frameworks
MLOps
Database software proficiency

Full Job Description

About the Role

As MLOps Engineer II, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
Develop, document, and communicate implementations and best practices across the data science lifecycle
Manage and communicate cloud infrastructure costs and budgets to project stakeholders
Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps
Additional tasks may be assigned

What Skills You Have

Required

Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.
Extensive expertise with CI/CD and
IaC best practices
Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

Master’s Degree
Proficiency in Java or other languages
Retail experience
E-commerce experience
5+ years of experience in Machine Learning
Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)
Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

Apply Now

Refine Your Search

mlops engineer jobs in remote

MLOps Engineer II (Remote)

Senior Data Engineer, MLOps [Remote-US]

Agentic AI Platform Engineer (with MLOps Expertise)

MLOps / AI Platform Engineer Subject Matter Expert

Staff MLOps Engineer

MLOps Engineer

MLops Engineer

Machine Learning Engineer, Co-op

Senior - MLOps/LLMOps Engineer, Development

Machine Learning Engineer I

Principal Engineer - AI Platform (AI Factory /Advance AI)(Remote Or Hybrid)

Senior/Staff/Principal AI/ML Engineer - Threat Detection Engineering

AI Engineer

Senior Data Engineer - Contractor

Machine Learning Engineer

Senior Machine Learning Platform Engineer

Data Engineer

Machine Learning Engineer / Data Scientist

GenAI Engineer (LLM, RAG & AI Agents)

AI Engineer

I want to receive the latest job alert for mlops engineer in remote

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