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MLOps Engineer Jobs
Build the infrastructure that powers production ML. We aggregate MLOps positions focused on pipelines, deployment, and model lifecycle management.
Latest roles
Latest MLOps roles
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Applied Data Scientist - AI Enablement (Transportation)
10/17HDR • Pennington, NJ
SQLPower Querypandas+30+29+28$150k – 215k Lead Specialist, AI Scientist
10/17Pearson • Dover, DE
PythonAWSOpenAI+31+30+29$150k – 190kPrincipal Architect - AI Engineer
10/17United Airlines • Chicago, IL
PythonAWSMicroservices+22+21+20$141k – 183kMachine Learning Engineer, Enterprise Brain
10/16Glean • Mountain View, CA
Machine Learning EngineeringLlmsLlm Workflows+16+15+14$200k – 280kManager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS)
10/16Databricks • United States
SQLPythonScala+21+20+19$197k – 271kResearch Intern, Frontier Speculative Decoding (Winter 2027)
10/16Together AI • San Francisco, US
Speculative DecodingMachine LearningDeep Learning+20+19+18$121k – 146kResearch Intern, Frontier Speculative Decoding (Summer 2027)
10/16Together AI • San Francisco, US
Speculative DecodingMachine LearningDeep Learning+22+21+20$121k – 146kAI & Automations Builder (HR)
10/16SPS Commerce • Minneapolis, MN
PythonSQLWorkday+27+26+25$85k – 120kDistinguished Engineer, AI Infrastructure
10/16Equinix • Redwood City, CA
GoPythonKubernetes+36+35+34$276k – 414k- H
Applied Data Scientist - AI Enablement (Transportation)
10/16HDR • Rosemont, IL
SQLPower Querypandas+29+28+27$150k – 215k SNOWFLAKE FRONTIER ENGINEERING MANAGER, MIGRATIONS
10/16Snowflake • Menlo Park, CA
Ai Powered Migration ToolsGenerative AICode Translation+37+36+35$176k – 231k- E
Client Technology - Senior Software Engineering with AI Capabilities
10/16EY • Alpharetta, GA
C#JavaPython+25+24+23$134k – 258k
Career guide
Why MLOps?
Production ML
- Build scalable ML training and serving pipelines
- Implement CI/CD for machine learning models
- Design feature stores and model registries
- Monitor model performance and detect drift
- Optimize inference latency and cost
Growing Field
- Critical role as companies scale ML adoption
- Blend of ML knowledge and DevOps skills
- Work with Kubernetes, Kubeflow, MLflow, and more
- High demand across all industries
- Path to ML platform leadership
MLOps Compensation
MLOps engineers are increasingly valuable as companies scale ML. Senior MLOps roles earn $180k-$320k+ at top companies, with strong demand continuing to grow.
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