7 mlops engineer jobs at 5 companies in Altamonte Springs, FL
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Staff MLOps Engineer
New York or Los Angeles or Orlando
$220k-$260k/yrRemoteFull Time
NBCUniversalNASDAQ: CMCSA: Produces and distributes entertainment content and theme park experiences.
5+ YOEMaster's degree in CS/Engineering/Math, 5+ years MLOps experience, proven experience with Python, Git, Unix shell, Docker, Kubernetes, workflow orchestrators (Airflow/Prefect/Kubeflow), and collaboration tools; strong systems thinking and math background for 2D/3D media at scale.
Worth AI: Automating business underwriting and onboarding for financial institutions.
5+ YOE5+ years software engineering; 2+ years building production agentic/LLM systems; strong Python and TypeScript; experience with agent frameworks; MLOps; fintech domain.
Capco: Global consultancy providing business and technology services.
5+ YOE5+ years software engineering experience with AI/ML exposure, strong Python skills, experience with LLMs/GenAI, cloud platform experience, and degree in CS/AI or equivalent experience.
Capco: Global consultancy providing business and technology services.
10+ YOEBachelor's or Master's in CS/AI/ML, 10+ years in software architecture with AI/ML systems, expertise in generative AI and foundation models, proficiency in Python and cloud platforms (AWS/Azure/GCP), willingness to be in office 3 days/week.
Brown & BrownNYSE: BRO: Provides insurance brokerage and risk management services and solutions.
7+ YOEBachelor's in CS/IS/Data Engineering required (Master's preferred). 7+ years in data architecture/engineering with 4+ years in senior/lead roles; strong experience with cloud data platforms, Databricks, Azure, MLOps, and regulated environments.
Microsoft Azure, Databricks, Google, Delta Lake, Unity Catalog, Databricks Mosaic AI, Microsoft Azure Machine Learning, Azure OpenAI, MLflow
Universal Destinations & ExperiencesNASDAQ: CMCSA: Operates global theme parks and immersive entertainment resort destinations.
8+ YOE10+ MgmtAdvanced leadership in AI/ML delivery, 8+ years technical leadership, 10+ years managing teams, bachelor’s in computer/data science required; master’s/PhD preferred; expertise in statistical modeling, MLOps, data engineering, cloud, and strong communication.