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Remote or Almont, Colorado

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Today

Description: Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a lightly documented codebase, adjacent to machine learning without designing models. You will troubleshoot issues across code, data, and logic, implement business rule changes, and enhance logging to support downstream reporting. This work enables the senior data scientist to concentrate on m

Contract

ML/MLOps Engineer

Remote

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Today

Our client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business. In this role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activatio

Third Party, Contract

$80 - $90

MLOps Engineer

Remote

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3d ago

Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure).Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)Collaborate with engin

Easy Apply

Full-time, Third Party

Depends on Experience

MLOps Engineer (ML Deployment Focus)

Remote

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16d ago

Job Title: MLOps Engineer (ML Deployment Focus)Location: Remote Role OverviewWe are looking for a highly skilled MLOps Engineer to take ownership of machine learning deployment pipelines and lead the design, development, and execution of scalable ML infrastructure. This role focuses on productionizing ML models, ensuring secure, scalable, and efficient deployment, and enabling teams to deliver high-quality ML solutions. Key ResponsibilitiesOwn and manage end-to-end ML deployment pipelinesDesign

Easy Apply

Contract

Depends on Experience

Azure MLOps Engineer

Remote

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3d ago

Job title: Azure MLOps Engineer Location: Remote, USA Experience: 5+ yrs Must-Have - Hands-on experience with Azure Machine Learning (workspaces, compute, environments, datasets, pipelines). - Proficiency in building end-to-end MLOps workflows: data prep, training, model packaging, registration, deployment, and automated retraining. - Strong Python skills for ML engineering and automation (SDK v2/CLI v2). - Experience deploying models to AKS/Managed Online Endpoints/Batch Endpoints with blue-gr

Easy Apply

Full-time, Third Party

Depends on Experience

AI/MLOps Engineer

Remote

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Yesterday

POSITION SUMMARY: We are seeking a passionate Azure AI/ML Ops engineer to create a data platform and pipeline to enable advanced analytics. ESSENTIAL DUTIES: Utilize Azure technologies like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based applications. Include AI components in data workflows, engage with data scientists and data engineers. Utilize Azure AI services to implement natural language processing (NLP) create and imple

Easy Apply

Contract

$100

Sr AI Engineer - AI Platform

Dallas, Texas

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25d ago

Role: Senior AI Engineer | Data & AI Technology Location: Toronto, ON or Dallas, TX (Onsite 34 days/week) Employment Type:Direct Hire Role OverviewWe are seeking a Senior AI Engineer to design, build, and operationalize enterprise-grade AI solutions in a highly regulated environment. This role provides deep technical leadership across AI engineering, MLOps/LLMOps, and governance-by-design, ensuring AI solutions are secure, scalable, auditable, and production-ready. You will own complex AI system

Easy Apply

Full-time, Contract, Third Party

Depends on Experience

MLOps Engineer

Remote or McLean, Virginia

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Today

Job Family: Data Science & Analysis Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do: As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and operational processes that enable scalable, secure, and reliable deployment of machine learning solutions for federal clients. You will partner closely with data scientists, AI engineers, data engineers, and government stakeholders to operationalize models across development, testing, and

Full-time

USD 113,000.00 - 188,000.00 per year

Senior AI/ML Engineer - MLOps & Production AI Systems - Remote or Hybrid in MN/DC

Remote or Eden Prairie, Minnesota

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Today

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health op

Full-time

USD 91,700.00 - 163,700.00 per year

ML Operations Engineer - Associate Vice President

Remote or Irving, Texas

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Today

We are seeking an experienced MLOps Engineer to join our DevOps and Infrastructure Engineering team. This role is crucial for operationalizing, scaling, and maintaining our Artificial Intelligence (AI) and Machine Learning (ML) applications. The successful candidate will leverage their expertise to ensure seamless, scalable, and reliable deployment and management of AI/ML models, working closely with data scientists and ML engineers. This position requires strong proficiency in Python, hands-on

Full-time

USD 107,120.00 - 160,680.00 per year

MLOps Engineer

Hybrid in Dallas, Texas

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Today

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

Easy Apply

Full-time

$60 - $70

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