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Head Of Mlops Engineer Jobs (NOW HIRING)

Redolent, Inc.

MLOps Engineer

Sunnyvale, CA · On-site

Role: MLOps Engineer Duration: 12+ Months Location:Sunnyvale CA - hybrid Rate: DOE Key ... years of software engineering experience, with 3+ years in ML serving/infrastructure Strong ...

ClifyX

MLOps Engineer

Hartford, CT · On-site

ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary ... Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 ...

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

Stefanini

MLOps Engineer

Dearborn, MI · On-site

Stefanini is looking for a MLOps Engineer (Dearborn, MI) For quick apply, please reach out to ... Strong understanding of the software development lifecycle, version control, testing, and ...

Tror AI for everyone

MLOPS Engineer

Concord, CA · On-site

Job Role: MLOPS Engineer Job Location: Concord, CA (100% Onsite) Job Type: Contract Key ... Solid understanding of software engineering principles and DevOps practices. * Good communication ...

NBCUniversal

Staff MLOps Engineer

NBCUniversal is one of the world's leading media and entertainment companies. They are seeking a Staff MLOps Engineer to build and scale infrastructure for large media datasets, ensuring automated ...

IT America Inc

DevOps/MLOps Engineer

Cumming, GA · On-site

$47 - $64.50/hr

... MLOps Engineer Location: Cumming, GA Duration: Long-term contract Note: Final interview will take ... Solid understanding of CI/CD methodologies and GitOps practices * Experience with monitoring and ...

Fractal

MLOps Engineer

New York, NY · On-site

Scope of Work Model serving - synchronous and asynchronous * Design and build FastAPI services that expose models to downstream applications, including request/response contracts, authentication and ...

Cynet Systems

Senior AI/MLOPS Engineer

Pleasanton, CA · On-site

$75 - $80/hr

Senior AI/MLOPS Engineer Job Location: Pleasanton, CA Job Type: Contract Job Overview: Pay Range ... Knowledge of SQL and data processing. * Familiarity with cloud services (AWS, Azure, or Google ...

New

Apptronik

Staff MLOps Engineer

Austin, TX

JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform - the system of record for datasets, experiments, model artifacts, and serving paths that ...

Icwgroup

MLOps Engineer II

San Diego, CA · On-site

$103K - $141K/yr

PURPOSE OF THE JOB The MLOps Engineer II is responsible for designing, developing, and operating scalable machine learning infrastructure and deployment pipelines on AWS. The MLOps Engineer II works ...

Viridien

Head of Applied AI Products

Houston, TX · On-site

Viridien is an advanced technology company focused on digital and Earth data, seeking a Head of ... Required : • Strong engineering background (ML engineering, MLOps engineer, or equivalent). • ...

Zeitview

Senior MLOps Engineer I

Boston, MA · On-site +1

$113K - $155K/yr

As the Senior MLOps Engineer I, you will help turn the models built by our ML Scientists, Data ... This role sits at the intersection of R&D, Software Engineering, and DevOps. You will work daily ...

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Infographic showing various Head Of Mlops Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Computational Biology MLOps Engineer

Onebridge

San Diego, CA

$118K - $139K/yr

Full-time

Posted 18 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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