Mlops engineer jobs

Santa Clara, California

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Today

Role: Senior LLMOps / MLOps Engineer Location: Santa Clara, CA (Onsite) Duration: 6-12+ Months Contract Only Local Candidates will work out Must Have Skills: Skill 1 Strong proficiency in Python and software engineering best practices Skill 2 14+ years of experience in MLOps, LLMOps, AI/ML Platform Engineering Skill 3 Strong expertise in LLM Inferencing and Model Hosting using vLLM, SGLang, TGI, Triton, Ray Serve, Azure ML, or Databricks Model Serving Good To have Skills: Skill 1 Exposure to AI

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Third Party, Contract

$55 - $65

Senior MLOps Engineer

No location provided

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Today

Own where changes land and what it costs to run This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $175,000 per year A bit about us: Small, mid staged AI native SaaS startup helps state and local governments modernize paper-based processes into intelligent, AI-driven digital workflows. As we evolve into an AI-first platform, our development velocity, model iteration frequency, and cross-t

Full-time

USD 150,000.00 - 175,000.00 per year

Senior MLOps Engineer

No location provided

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Today

Full-time

USD 150,000.00 - 175,000.00 per year

Mlops Engineer

Minneapolis, Minnesota

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Today

Note: We are looking for candidates with 10+ years of overall IT experience and strong expertise as an MLOps Engineer. The candidate should have hands-on experience with Vertex AI-based batch processing pipelines and ML pipeline components. This is a Day 1 onsite opportunity in Minneapolis, MN, and local candidates are strongly preferred. Job Description: Recommend focusing on candidates with strong experience in Vertex AI-based batch processing pipelines. The candidate should demonstrate a sol

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Contract

Depends on Experience

MLOps Engineer

Portland, Oregon

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Today

Job Title: MLOps Engineer Location: Portland, OR (5 days Onsite), they may ask for F2F client interview. Job Description We are seeking an experiencedMLOps Engineerto join our team onsite inPortland, OR. The ideal candidate will be responsible for designing, deploying, automating, and maintaining machine learning pipelines and infrastructure. You will work closely with data scientists, software engineers, and cloud teams to operationalize ML models and ensure scalable, secure, and reliable AI/ML

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Third Party, Contract

Depends on Experience

MLOps Engineer

Remote

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Today

MLOPS Engineers who worked on Azue Cloud Platform. Azure cloud ( Azure Databricks ML, MLFlow, Azure ADF etc) Remote

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Contract

Depends on Experience

Senior MLOps Engineer & Platform Engineer

Alpharetta, Georgia

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Today

Senior MLOps Engineer / Platform Engineer 1099 & w2 Only Alpharetta, GA & Columbus, OH Responsibilities Build and maintain AI/ML CI/CD pipelines Deploy, version, test, and promote models and prompts Implement AI observability and monitoring Monitor latency, token usage, and operational costs Build evaluation and regression testing pipelines Detect model drift and output quality issues Support production AI applications and agent workflows Improve deployment reliability and release automation De

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Contract

Mlops Engineer - only W2

Hybrid in Minneapolis, Minnesota

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Today

We recommend focusing on candidates with strong hands-on experience inGoogle Vertex AI-based batch processing pipelines. The ideal candidate should demonstrate expertise in the following areas: End-to-End Machine Learning Pipeline Development Data pre-processingBatch prediction workflowsPost-processing activities ML Pipeline Development & Orchestration Hands-on experience building and orchestrating machine learning pipelines using: Kubeflow Pipelines (KFP Components)Google Cloud Dataflow(includ

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Contract

Depends on Experience

ML Platform / Infrastructure Engineer (MLOps)

Florida

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Today

ML Platform / Infrastructure Engineer (MLOps) - Perm - Pembroke Pines, FL - $215,000-$280,000 The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Visa sponsorship not availa

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Full-time

USD 215,000.00 - 280,000.00 per year

Machine Learning Operations (MLOps) Engineer

Phoenix, Arizona

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Today

RESPONSIBILITIES: Kforce has a client that is seeking a Machine Learning Operations (MLOps) Engineer (Snowflake) in Phoenix, AZ. Summary: We are seeking a Senior MLOps Engineer to help design and build an enterprise-scale machine learning platform from the ground up. This is a unique opportunity to establish a modern MLOps ecosystem on Snowflake, supporting end-to-end model development, deployment, and lifecycle management. The platform will be built on a medallion architecture (Bronze, Silver

Contract

$85 - $96 hourly

MLOPs Engineer - Scottsdale AZ (100% Onsite)

Arizona

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11d ago

One of our clients is currently hiring for the position of MLOps Engineer Please find the job details below. If you are interested, kindly share your most recent resume at [] Role : MLOps Engineer Location : Scottsdale AZ (100% Onsite) Hire Type : Contract Role Overview We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliabil

Contract, Third Party

MLOps Engineer / Unicorn Startup / Remote

Remote

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Today

A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base. This opportunity is ideal for engineers who enjoy building infrastructure th

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Full-time

$230000 - $250000

MLOps Engineer in Phoenix, AZ on W2 basis

Hybrid in Phoenix, Arizona

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4d ago

Job Title: MLOps Engineer Phoenix, AZ ( Hybrid from day-1 ) Description: This is a greenfield role and needs someone who has come from environments doing the same thing, building from scratch POSITION SUMMARY: Republic Services is building its first enterprise-scale MLOps platform on Snowflake. This role is a rare opportunity to design, build, operate, and continuously mature the end-to-end ML production ecosystem from scratch. The platform will be built on top of the enterprise medallion arc

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Contract

Depends on Experience

LLMOps / MLOps Engineer (Need Locals only)

Santa Clara, California

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5d ago

Hi, Senior LLMOps / MLOps Engineer Location: Santa Clara, CA (Onsite) Duration: 6 - 12 Months Must Have Skills Skill 1 Strong proficiency in Python and software engineering best practices Skill 2 14+ years of experience in MLOps, LLMOps, AI/ML Platform Engineering Skill 3 Strong expertise in LLM Inferencing and Model Hosting using vLLM, SGLang, TGI, Triton, Ray Serve, Azure ML, or Databricks Model Serving Good To have Skills Skill 1 Exposure to AI Observability, Governance, and Responsible AI pr

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Third Party, Contract

Depends on Experience

Senior MLOps / LLMOps Engineer

Milpitas, California

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Today

Senior MLOps / LLMOps Engineer Location : Milpitas 4 days onsite contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment pipelines. Key Skills: Strong hands-on experience with Databricks and MLflow Experience building and maintaining MLOps/LLMOps platforms Cloud expertise in Azure and/or Google Cloud Platform CI/CD pipeline development and automation Model deployment, monitoring, and lifecycle management Kubernetes, Doc

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Contract

Senior LLMOps / MLOps Engineer :: Santa Clara, CA-5Day onsite. -Only locals.

Santa Clara, California

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Today

Try to submit locals within 50 miles -3 resumes Senior LLMOps / MLOps Engineer Location: Santa Clara, CA 5days onsite Summary We are looking for a highly skilled Senior LLMOps / MLOps Engineer with strong expertise in LLM inferencing, model hosting, and serving Large Language Models (LLMs) at scale. The ideal candidate should be a hands-on engineer with proven experience deploying and optimizing open-source LLMs, building high-performance inference platforms using technologies such as vLLM, S

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Contract, Third Party

MLOps Platform Engineer (SageMaker)

Plano, Texas

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4d ago

Local candidates preferred, 12 months contract with extension, Onsite role. Must Haves: 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations. 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio Classic Studio, Pipelines, Model Registry, Endpoints, Feature Store) 3+ years building and operating production MLOps pipelines training, versioning, deployment, monitoring, rollback Experience with SageMaker Unified Studio

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Full-time

80 - 90

MLOps Engineer

Hybrid in Minneapolis, Minnesota

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4d ago

Job Title: MLOps Engineer Location: Minneapolis, MN (Hybrid 3 Days Onsite) Employment Type: 6 Months Contract Job Summary We are seeking a skilled MLOps Engineer to join our team in Minneapolis, MN. The ideal candidate will have hands-on experience building, deploying, and maintaining scalable machine learning pipelines and production-ready ML systems. You will work closely with data scientists, software engineers, and cloud teams to operationalize machine learning models while ensuring relia

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Contract

Depends on Experience

MLOps Engineer AWS SageMaker

Remote

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28d ago

We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to design, build, automate, and manage scalable machine learning platforms and production ML pipelines. The ideal candidate will have hands-on experience deploying machine learning models, implementing CI/CD for ML workflows, and managing cloud-native infrastructure on AWS. Key ResponsibilitiesDesign, develop, and maintain end-to-end MLOps pipelines on AWS.Build and manage machine learning workflows using Amazon

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Contract

$40 - $60

MLOps Engineer

San Francisco, California

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19d ago

MLOps EngineerLocation: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the RoleWe are seeking an experienced MLOps Engineer to build and manage scalable machine learning infrastructure, automate model deployment pipelines, and ensure reliable operation of production AI systems. You will work closely with Data Scientists, ML Engineers, and DevOps teams to streamline the ML lifecycle. Key ResponsibilitiesBuild and maintain machine learning pipelines.Deploy and monitor ML models i

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Full-time

140,000 - 200,000

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Mlops engineer jobs