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Mlops Contract Jobs (NOW HIRING)

Hirekeyz Inc

MLOps Engineer

San Francisco, CA · On-site

San Francisco, California Duration: Long Term Contract Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. * Automate model training, testing ...

NiyamIT

DevOps/MLOps Engineer

Ashburn, VA · On-site

$54 - $74/hr

Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal ... This position is contingent upon award of contract. Roles and Responsibilities * Design, implement ...

Sage IT Inc

SRE with MLops Platform

Sunnyvale, CA · On-site

$67 - $89/hr

Austin, TX and Sunnyvale, CA (Onsite) Job Type: Long Term Contract Job Summary - For this role, we ... Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud ...

Niyam IT, Inc.

DevOps/MLOps Engineer

Ashburn, VA · On-site +1

$54 - $74/hr

Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal ... This position is contingent upon award of contract. Roles and Responsibilities * Design, implement ...

Niyam IT, Inc.

DevOps/MLOps Engineer

Ashburn, VA · On-site

$54 - $74/hr

Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal ... This position is contingent upon award of contract. Roles and Responsibilities * Design, implement ...

Fractal

MLOps Engineer

New York, NY · On-site

MLOps Engineer - Consultant The Engagement We are hiring a senior MLOps Engineer on a consulting ... contracts, authentication and authorization, input validation, error semantics, and structured ...

CEDENT

MLOps Engineer

$40 - $60/hr

Must Have Skills: * 4+ years of MLOps/ML platform or DevOps for data/ML systems * Hands on GCP ... Define contracts for features/labels in BigQuery and manage backfills; support batch and (where ...

Deeter Analytics

Head of AI Inference & MLOps

Austin, TX · On-site

... contracts over marketplace traffic • Build and manage the team required to scale this function over time Qualifications : Required : • Significant experience in production AI/LLM inference, MLOps ...

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Mlops Contract information

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How much do mlops contract jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for mlops contract in the United States is $26.18, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $28.61 per hour, depending on experience, location, and employer.

What is an MLOps contract?

An MLOps contract refers to a temporary or project-based agreement for professionals who specialize in Machine Learning Operations (MLOps). MLOps combines machine learning, software engineering, and DevOps practices to streamline the deployment, monitoring, and management of machine learning models in production. These contracts typically require expertise in automation, CI/CD pipelines, cloud platforms, and model lifecycle management. Contractors are often hired to help organizations quickly implement or scale their machine learning infrastructure, ensuring models are reliable, scalable, and secure.

What are the key skills and qualifications needed to thrive as an MLOps contract professional, and why are they important?

To thrive as an MLOps Contract professional, you need solid experience in machine learning, software engineering, and cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, Azure, or GCP, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer, is highly valuable. Strong problem-solving, communication, and collaboration skills help you deliver robust solutions and work effectively with cross-functional teams. These skills ensure efficient deployment, scalability, and maintenance of machine learning models in production environments.

What is the difference between Mlops Contract vs Data Engineer?

AspectMlops ContractData Engineer
Required CredentialsCertifications in cloud platforms, scripting, and ML toolsDegree in Computer Science or related field, SQL, Python skills
Work EnvironmentProject-based, contract roles in cloud and ML teamsFull-time or contract, data pipeline development in data teams
Employer & Industry UsageTech companies, startups, consulting firmsLarge enterprises, finance, healthcare, tech
Search & Comparison IntentUnderstanding contract roles in ML operationsData pipeline and infrastructure roles

While both roles involve working with data and cloud tools, Mlops Contract focuses on deploying and maintaining machine learning models in production environments on a contractual basis. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in skills like scripting and cloud familiarity but differ in scope and responsibilities.

What are some common challenges faced by MLOps contractors when integrating machine learning models into existing production systems?

MLOps contractors often encounter challenges such as aligning model deployment processes with an organization's existing infrastructure and ensuring seamless collaboration between data science and engineering teams. They must navigate differences in technology stacks, manage versioning of models and datasets, and address issues related to scalability and monitoring in production environments. Effective communication and a thorough understanding of both machine learning workflows and DevOps practices are key to overcoming these hurdles and delivering reliable, maintainable solutions.
More about Mlops Contract jobs
What cities are hiring for Mlops Contract jobs? Cities with the most Mlops Contract job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
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Mlops Contract jobs near you
Infographic showing various Mlops Contract job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 71% Physical, 10% Hybrid, and 19% Remote job distribution, with an average salary of $54,445 per year, or $26.2 per hour.

MLOps Engineer

Hirekeyz Inc

San Francisco, CA • On-site

Contractor

Re-posted 7 days ago

Job description

Role: MLOps Engineer

Location: San Francisco, California

Duration: Long Term Contract

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., GCP, 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 engineering teams to provision containerized environments and support model scoring via low-latency APIs
  • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment

Skills Required:

  • 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., GCP, 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 engineering teams to provision containerized environments and support model scoring via low-latency APIs
  • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment