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Full Time Mlops Engineer Jobs (NOW HIRING)

Booz Allen Hamilton

MLOps Engineer, Mid

Alexandria, VA

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

MLOps Engineer, Mid

Chantilly, VA

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

MLOps Engineer, Mid

Aurora, CO

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

MLOps Engineer, Mid

Chantilly, VA · On-site

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Nace AI

Senior MLOps Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

Palo Alto, CA | Full-Time | On-site About Nace AI: Nace AI is an enterprise AI product and research ... As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI's models from ...

Niyam IT, Inc.

DevOps/MLOps Engineer

Ashburn, VA · On-site

$54 - $74/hr

... MLOps Engineer to join our team in support of our work with a federal client. This role is ... This full-time position will be hybrid to Ashburn, VA. This position is contingent upon award of ...

Niyam IT, Inc.

DevOps/MLOps Engineer

Ashburn, VA · On-site +1

$54 - $74/hr

... MLOps Engineer to join our team in support of our work with a federal client.This role is ... This full-time position will be hybrid to Ashburn, VA. This position is contingent upon award of ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps ... This contract position has potential to transition into a full-time role in the future based on ...

Northern Base

Forward Deployment Engineer

Eden Prairie, MN · Remote

$100K - $120K/yr

AI/ML & Forward Deployment Engineer | Remote | Full-time Location: Eden Prairie, MN (Remote ... MLOps / LLMOps * Docker * Kubernetes * CI/CD * REST APIs / gRPC * AWS / Azure / GCP * Git * Data ...

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Full Time Mlops Engineer information

What is the difference between Full Time Mlops Engineer vs Data Scientist?

AspectFull Time Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with ML pipelinesBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentFocus on deploying, maintaining ML models, infrastructure, automationFocus on data analysis, model development, insights generation
Employer & Industry UsageTech companies, AI startups, enterprises with ML productsResearch institutions, tech firms, finance, healthcare

Full Time Mlops Engineers primarily focus on deploying and maintaining machine learning models in production environments, emphasizing infrastructure and automation. Data Scientists concentrate on analyzing data, developing models, and deriving insights. While both roles require a strong understanding of machine learning, MLOps engineers are more involved in the operational aspects, whereas Data Scientists focus on model creation and analysis.

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Full Time Mlops Engineer jobs near you
Infographic showing various Full Time Mlops Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Computational Biology MLOps Engineer

Computational Biology MLOps Engineer

Onebridge

San Diego, CA • On-site

$118K - $139K/yr

Full-time

Posted 4 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA.

Computational Biology MLOps Engineer | About You

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus.

Computational Biology MLOps Engineer | Day-to-Day

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment.
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training.
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts.
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches.
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models.
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems.

Computational Biology MLOps Engineer | Skills & Experience

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure.
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows.
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries.
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing.
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX.
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure.
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.
Employment Type: FULL_TIME

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