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Mlops Contract Jobs (NOW HIRING)

Conch Technologies Inc

MLOps Engineer

Dallas, TX · On-site

Grapevine, TX & Dallas, TX - (Hybrid) Duration: 6+ Months Contract Key Responsibilities MLOps Lifecycle Ownership Own the full ML lifecycle: data ingestion, model training, validation, deployment ...

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Contract * Knowledge of MLOps platforms * Good experience with Sage Maker * Proven 8+ years of professional experience across MLOps, DevOps, or similar disciplines. * Knowledge in the life cycle ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Job Title MLOps Engineer to work on AWS GovCloud Databricks Projected Start Date05-09-2025 Projected End Date10-31-2025 Position Type Contract Location : Bellevue, WA Remote Work100% Primary ...

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

Contract * 4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP ... MLOps architecture with practical expertise in Databricks Unity Catalog MosaicAI serverless ...

Apptronik

Staff MLOps Engineer

Austin, TX · On-site

You will lead by influence across MLOps, Autonomy, Data Platform, and TeleOp - establishing the standards, contracts, and tooling that turn one-off research code into a repeatable, auditable pipeline ...

Cyber 1 Armor

Senior MLOps / LLMOps Engineer

Milpitas, CA · On-site

$119K - $163K/yr

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 ...

Apptronik

Staff MLOps Engineer

Austin, TX · On-site

You will lead by influence across MLOps, Autonomy, Data Platform, and TeleOp - establishing the standards, contracts, and tooling that turn one-off research code into a repeatable, auditable pipeline ...

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 ...

IT America Inc

DevOps/MLOps Engineer

Cumming, GA · On-site

$47 - $64.50/hr

Cumming, GA Duration: Long-term contract Note: Final interview will take place onsite--only local candidates will be considered * Our Fintech client is looking for an experienced DevOps / MLOps ...

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Mlops Contract information

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How much do mlops contract jobs pay per hour?

As of Sep 5, 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 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.

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.

Is MLOps in high demand?

MLOps roles are in high demand due to the increasing adoption of machine learning and AI across industries. Professionals with skills in cloud platforms, automation, and tools like Docker, Kubernetes, and CI/CD pipelines are particularly sought after. The field offers strong job growth prospects and competitive salaries for qualified candidates.
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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 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $54,445 per year, or $26.2 per hour.

MLOps Engineer

Conch Technologies Inc

Dallas, TX • On-site

Contractor

Re-posted 12 hours ago

Job description

Hi,
 
Greetings from Conch Technologies
 
Position: MLOps Engineer
Location: Grapevine, TX & Dallas, TX - (Hybrid)
Duration: 6+ Months Contract
 

Key Responsibilities
MLOps Lifecycle Ownership
Own the full ML lifecycle: data ingestion, model training, validation, deployment, monitoring, and retraining
Build and maintain robust model pipelines for computer vision and IRAS-based item recognition systems
Implement data and model monitoring (drift detection, performance degradation, alerting)
Refactor and productionize data science code into scalable, reusable services
 

Top Skills Details

1. Experience owning the MLOps lifecycle, from data monitoring to refactoring data science code to building a robust ML model lifecycle.
2. Python Engineering
3. CI/CD
4. Experience with MLOps-driven data science outcomes and handling ML Engineering horizontally, helping multiple products and initiatives.
5. Have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting.

With Regards,
 
Chanakya | Sr. IT Recruiter 
Desk: 901-313-3066
Email: chanakya@conchtech.com
LinkedIn: linkedin.com/in/bhadchan
Conch Technologies Inc | www.conchtech.com