mlops engineer jobs

Hybrid in Dallas, Texas

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14d ago

CLIENT : PNC LOCATION: Pittsburgh, PA, Cleveland, OH, Dallas, TX, Birmingham, AL or Phoenix, AZ,). Its hybrid and 3 days onsite Technical Skills: o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management. o Cloud Knowledge: A deep understanding of cloud computing concepts, especially related to Amazon Web Services (AWS). o Infrastructure Design: Ability to design and implement MLOPs cloud solutions, considering scalability, security

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Full-time

$60 - $70

MLops Engineer

Alpharetta, Georgia

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Today

Greetings from WB Solutions! We have the Urgent requirement for MLops Engineer at Alpharetta, GA or Berkeley Heights NJ - Long-Term Contract. Role: MLops Engineer Location: Alpharetta, GA or Berkeley Heights NJMust Have Skills 1 End-to-End ML lifecycle management (Azure ML, Databricks, MLflow)2 Monitoring production model serving & data pipelines (Docker, AKS/Kubernetes, Databricks/Spark, Feature Stores)3 MLOps CI/CD and observability (Azure DevOps/GitLab/Harness)4 Monitoring & drift detection (

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Contract, Third Party

Depends on Experience

Senior MLOps Engineer

Hybrid in Chantilly, Virginia

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Today

Job Number: R0227821 MLOps Engineer, Senior The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you could find a position that is tailor made for your mix of development, engineering, and analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That's why we need you,

Full-time

USD 99,000.00 - 225,000.00 per year

Senior MLOps Engineer

Washington, District of Columbia

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Today

A client based in Arlington, VA is seeking a Senior MLOps Engineer to join their team in a contract-to-hire capacity, hybrid role, requiring 2-3 days per week in the office. The primary focus of this role is to build and optimize infrastructure for deploying, packaging, observing, and retraining machine learning models. This is not a model development role, but one centered on operationalizing existing models. The company specializes in providing transparent, customized financing solutions to sm

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Full-time

75/hr - 100/hr

MLOps Engineer

Owings Mills, Maryland

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24d ago

Key Required Skills: Machine Learning, Python, Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services. Position Description: Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments.Strong development experience with PythonExperience with Natural Language Processing (NLP) for text and language generation.Build and manage ML pipelines design, build, and maintain automated pipelines including data ingesti

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Full-time

$100 - $110

MLOps Engineer

Hybrid in Jersey City, New Jersey

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7d ago

Duration: 920 Hours Location: Charlotte, NC or Jersey City, NJ (3 days a week onsite) -- Resource will choose which site HYBRID Schedule Must have skills: LLM and Kubernetes Project Tasks: AI Operations Platform Consultant Experience deploying, managing, operating, and troubleshooting containerized services at scale on Kubernetes for mission-critical applications (OpenShift) Experience with deploying, configuring, and tuning LLMs using TensorRT-LLM and Triton Inference server. Managing MLOp

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Contract

Depends on Experience

MLOps Engineer

Hybrid in Charlotte, North Carolina

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7d ago

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Contract

Depends on Experience

Senior MLOps Engineer / MLFlow / DVC

Chicago, Illinois

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Today

A leading growth and venture investment firm with over $25B under management is hiring a Software Engineer, Machine Learning Operations (MLOps) to help shape the next generation of its proprietary data and analytics platform. This firm invests in category-defining companies - from AI and aerospace to advanced manufacturing and health - and differentiates itself by building technology internally that fuels smarter, faster investment decisions. Their engineering and data science teams work side-by

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Full-time

140k - 200k

Principal Engineer MLOps (DLP Detection)

Santa Clara, California

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Today

Company Description Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaborati

Full-time

USD 157,200.00 - 254,100.00 per year

ML Engineer (MLOps and Azure)

Remote

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Today

MLOps Engineer with Azure Experience 100% Remote Contract to Hire-W2 (3 months Contract later client will hire as a Full Time Consultant) Should have strong experience in AI/ML, MLOps, MLflow, Azure ML, Azure Devops, Azure Databricks, Azure Data Factory (ADF), AKS.

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Contract

Depends on Experience

Software Engineer / MLOps / Hybrid in Chicago

Chicago, Illinois

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Today

A venture-backed firm is hiring a Software Engineer to support its internal machine learning team. The team builds infrastructure and data platforms used to drive investment decisions across high-growth, deep tech companies. This is a full-time role focused on MLOps, data engineering, and platform development. You will be part of a small and highly technical team. The work will focus on building and scaling infrastructure that enables real-time insights. Projects include managing Kubernetes clus

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Full-time

0.00k - 0.00k

Senior Platform Engineer / MLOps / DevOps / Chicago

Chicago, Illinois

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Today

We're supporting a firm known for investing in industry game changers. They are not a startup but are intentionally lean. They look for entrepreneurial-minded engineers who can build from 0-1. They're looking for an Engineer to join their ML team as a core infrastructure builder. You'll own the platform that supports their MLOps, setting up Kubernetes clusters, building Spark infrastructure from scratch, and designing reliable systems that serve models in production. Applicants must currently be

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Full-time

150k - 250k

MLops Engineer, Location: Sunnyvale, CA(Onsite with hybrid), Duration: 12+ Months contract

Hybrid in Sunnyvale, California

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7d ago

Hi, Please find the role below and let us know your interest. Role: MLops Engineer Location: Sunnyvale, CA(Onsite with hybrid) Experience: 9+ Years Duration: 12+ Months contract Job Description: We are seeking a skilled Machine Learning Engineer with strong MLOps capabilities to help design, build, and scale machine learning systems from development through production. This role focuses on operationalizing models, building reliable infrastructure, and supporting data scientists in deploying

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Contract

Depends on Experience

MLOPS Engineer

Remote

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2d ago

Experience working on production-grade ML/AI projects. Experience can be on Azure Cloud or AWS Cloud, but Azure is preferred. Deploy models into production environments using MLOPS best practices

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Full-time

Depends on Experience

MLOps Engineers - NJ (Onsite)-6 months

East Hanover, New Jersey

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Today

Title: MLOps Engineer Duration: 6 months Location: NJ, Metro The skillset is MLOps. Machine Learning Operations Engineers in NJ or willing to relocate to NJ.

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Contract

ML OPS Engineer-San Jose, CA***Day 1 Onsite***INDEPENDENT CANDIDATES ONLY

San Jose, California

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Yesterday

Position: ML OPS Engineer Location: San Jose, CADay 1 Onsite Duration: 1 Years JD: We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ensure data quality, and manage model deployments in a production environment.

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Third Party, Contract

AI/ML Engineer

Hybrid in Washington, District of Columbia

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Today

About the Role We are seeking a highly skilled AI/ML Engineer to design, build, and deploy advanced machine learning and Generative AI solutions. This role requires strong hands-on engineering capabilities, deep knowledge of modern AI/ML frameworks, and the ability to translate business requirements into scalable, production-ready systems. You will work closely with cross-functional teams to enable platform adoption, drive automation, and deliver high-impact AI products. Key Responsibilities AI/

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Contract

$90 - $100 hr

Machine Learning Engineer

Hybrid in Stockton, Georgia

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3d ago

Title: MLOps Engineer / Machine Learning EngineerLocation: Atlanta, GA (Hybrid as per client need)Job Type: Contract (W2 only) What Youll DoDesign, build, and optimise ML pipelines and production systems that train, evaluate, and serve recommendation models efficiently at scale Work cross-functionally with data scientists, ML scientists, software engineers, and business stakeholders Partner with ML Scientists to translate research models into well-tested, maintainable, and efficient production

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Contract

Depends on Experience

Senior MLOps Engineer, GenAI Framework

Remote or Santa Clara, California

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Today

NVIDIA is looking for a dedicated and motivated senior build and continuous integration (CI/CD) engineer for its GenAI Frameworks (Megatron-LM and NeMo Framework) team. Megatron-LM and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Video Generation. Megatron-LM and NeMo Framework provide end-to-end model training, including data curation, alignment, customization, evaluation, d

Full-time

USD 148,000.00 per year

Senior MLOps Engineer

Remote or Santa Clara, California

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Today

NVIDIA is seeking a Senior MLOps Engineer to help design and scale the infrastructure that powers our AI research and product development. In this role, you will partner closely with research scientists and product teams to accelerate their success on the latest GPU and accelerator platforms. By building robust ML pipelines and scalable systems, you will ensure that cutting-edge hardware innovations translate directly into faster experiments, more efficient training, and reproducible deployments

Full-time

USD 184,000.00 per year

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mlops engineer jobs