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Head Of Mlops Engineer Jobs (NOW HIRING)

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 ...

This platform enables new classes of micromachines to be designed and built by providing ... We are seeking an MLOps Engineer to join our AI and Modeling & Simulation org within the Data ...

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 ...

Required Skills • 5+ years of experience in DevOps, Data Engineering, or MLOps. • Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Hands-on ...

MLOps Engineer Duration: 6 months+, possible extension Rate: $80/hr+, depending on experience ... of the ISEE (Intelligent Store Execution Engine) platform at Sam's Club. This role is responsible ...

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 ...

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 ...

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 ...

MLOps Engineer / DevOps Engineer

Mahwah, NJ

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... In 2020, we launched CHEF iQ, an ecosystem of connected kitchen appliances designed to transform ...

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 ...

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 ...

Lead the enhancement of the AI platform to improve the developer experience for data and ML ... Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging ...

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 ...

We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack ... JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps ...

MLOps Engineer / DevOps Engineer

Mahwah, NJ · On-site

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... In 2020, we launched CHEF iQ, an ecosystem of connected kitchen appliances designed to transform ...

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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 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Computational Biology MLOps Engineer

Marlabs

San Diego, CA • On-site

$118K - $139K/yr

Full-time

Re-posted 12 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.