5 mlops engineer jobs at 4 companies in Kentucky

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
3w
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Principal Applied AI Engineer, Finance
Menlo Park or Boston or Indianapolis or Durham or Washington or Missouri or Rhode Island or Maine or New York or Florida or North Carolina or Massachusetts or Illinois or Tennessee or Pennsylvania or Mississippi or New Jersey or Maryland or Michigan or Vermont or Minnesota or West Virginia or Louisiana or California or Ohio or Connecticut or South Carolina or Georgia or Delaware or Wisconsin or Virginia or Kentucky or Indiana
$194k-$341k/yr RemoteFull Time
Genesys
Genesys: Provides AI-powered cloud platform for customer and employee experiences.
8+ YOE8+ years building production AI/ML systems with Python, LLMs, MLOps and cloud (preferably AWS); expertise in time-series forecasting, predictive modeling, and agentic/Generative AI; strong software engineering and CI/CD experience.
Python, LLMs, Docker, Kubernetes, AWS, CI/CD, APIs, MLOps, RAG, vector databases
1mo
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Sr Machine Learning Engineer
Irvine or Plano or Louisville
$130k-$162k/yr HybridFull Time
KFC Pan Europe
KFC Pan EuropeNYSE: YUM: Quick-service restaurant chain specializing in fried chicken products.
3+ YOEBachelor's degree, 3+ years ML engineering/MLOps or software engineering experience, strong Python (pandas, PyTorch, scikit-learn), AWS (SageMaker, Step Functions, Lambda, S3, IAM, ECR), Airflow/Glue, Docker, CI/CD, SQL; strong troubleshooting and collaboration skills.
Python, pandas, PyTorch, scikit-learn, boto3, SQL, SageMaker, Step Functions, Lambda, S3, IAM, ECR, Airflow, Glue, Snowflake, Redshift, Athena, Docker, GitLab CI/CD, MLflow, Hydra/OmegaConf, FastAPI, PyMC, ArviZ, Terraform, Terragrunt, CloudFormation, CloudWatch, DataDog, GitLab
2d
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Senior Data & AI Engineering Lead (WW Technical Operations)
Lexington, Kentucky, United States
$136k-$238k/yr HybridFull Time
Xerox
XeroxNASDAQ: XRX: Sells printing hardware, digital document software, and managed IT services.
Senior experience in infrastructure/cloud data engineering, observability, incident governance, and large-scale telemetry; proficiency with Azure, Databricks, Delta Lake, Spark, Kafka, Airflow, Python, SQL/PySpark, MLOps and CI/CD.
Azure, Databricks, Delta Lake, Spark, Kafka, Airflow, Python, SQL, PySpark, MLOps, CI/CD, API, Power BI, QlikView, Oracle, SQL Server, PostgreSQL, MySQL, Azure Machine Learning, Azure OpenAI, NLP
3mo
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Vice President, Enterprise Architecture & Engineering Services
Louisville, Kentucky, United States
OnsiteFull Time
BrightSpring Health Services
BrightSpring Health ServicesNASDAQ: BTSG: Provider of home and community-based health and pharmacy services.
15+ YOE15+ years in enterprise architecture or large-scale technology leadership in healthcare or regulated industries; strong automation, AI/agentic AI, MLOps, cloud native architectures, and healthcare regulatory knowledge.
Azure, Databricks, RPA, Workflow orchestration, Agentic AI, Generative AI, DevOps, CI/CD, DevSecOps, MLOps
3mo
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Vice President, Enterprise Architecture & Engineering Services
Louisville, Kentucky, United States
OnsiteFull Time
BrightSpring Health Services
BrightSpring Health Services: Providing home and community-based health and pharmacy services.
15+ YOE15+ years in enterprise architecture or large-scale technology leadership in healthcare; defining architecture standards, patterns, and governance; automation (RPA, workflow, intelligent automation); Generative AI/Agentic AI; AI platform architecture and MLOps; cloud-native architectures; healthcare interoperability and regulatory compliance.
RPA, Workflow orchestration, Generative AI, Agentic AI, MLOps, Azure, Databricks, Healthcare interoperability standards