1,464 mlops engineer jobs at 710 companies in United States
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MLOps Engineer
Europe or Israel or United States
RemoteFull Time
Fundamental: AI serving enterprises and governments with foundation models for tabular data prediction.
5+ YOE5+ years MLOps/DevOps experience, degree in CS/Engineering or equivalent, experience with model serving, Kubernetes, cloud providers, IaC, Python/Bash/Go, and observability tools.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEBachelor’s or equivalent experience in computer science, electrical engineering, or related field; 8+ years engineering experience with production distributed systems; MLOps, cloud, Python, C++, and autonomous systems expertise.
TriNetNYSE: TNET: Human resources solutions and PEO for small and medium-sized businesses.
8+ YOE8+ years MLOps/DevOps experience; proficiency with Python/Java, ML frameworks, CI/CD, containers, cloud platforms; Bachelor's in CS/Engineering preferred.
Tiger Analytics: We provide certainty by solving your toughest challenges.
8+ YOERequires 8+ years in data engineering, machine learning engineering, or DevOps, including 3+ years leading Databricks MLOps implementations, plus advanced platform, automation, governance, security, and client-facing leadership skills.
IntuitiveNASDAQ: ISRG: Global leader in robotic-assisted and minimally invasive surgery.
3+ YOERequires 3+ years in infrastructure, DevOps, or MLOps; production Kubernetes; Python or Bash; infrastructure-as-code; distributed storage; CI/CD; Linux and networking. Bachelor's or master's in computer science, engineering, or related field.
Sequen AI: AI personalization and ranking platform serving enterprise consumer companies with dynamic search, recommendations, and discovery.
4+ YOEMinimum 4+ years MLOps or ML/platform engineering; expertise with low-latency model serving, Python and PyTorch; cloud (AWS/GCP/Azure), Docker, Kubernetes, MLflow; strong distributed systems and pipeline experience.
Steampunk: Federal contractor providing human-centered IT and mission solutions.
2+ YOERequires 2+ years in MLOps, ML engineering, DevOps, cloud engineering, or applied ML; Python, ML frameworks, cloud platforms, CI/CD, containers, IaC, monitoring, and public trust eligibility.
Nace AI: Private enterprise AI building agents for organizations' finance, audit, and compliance workflows.
5+ YOE5+ years MLOps or ML infrastructure experience, BS in CS or related, strong Python, Kubernetes, Docker, Terraform, GPU cluster and LLM serving experience, proficiency with orchestration and observability tools.
Entarian: Private engineering and federal technology services provider serving U.S. space, defense, and civilian government agencies.
5+ YOE5+ years in MLOps/DevOps with AI/ML systems; production deployment experience with MLflow/Kubeflow/cloud platforms; strong observability and security practices.
Zeitview: Private software providing AI-powered aerial inspections and asset analytics for renewable energy and critical infrastructure operators.
4+ YOE4+ years MLOps or ML platform experience; strong Python; experience with cloud (AWS), Terraform, CI/CD, Docker/Kubernetes, model registries, monitoring, and collaborating with ML researchers.
Apptronik: Private humanoid robotics developing AI-powered robots for manufacturing, logistics, and future healthcare and home applications.
4+ YOEExpert in Python and a systems language (Go/Rust/C++); proven end-to-end MLOps platform ownership (dataset lifecycle, experiment tracking, model registry, evaluation, serving); cloud and Kubernetes experience; 8+ years software engineering or 4+ years direct MLOps ownership.
Fab2: Fab2 is a privately held semiconductor manufacturer building fabs, chipmaking tools, components, and design software.
5+ YOE5+ years building production software, infrastructure, data, or ML systems; MLOps/DevOps, CI/CD, containers, Kubernetes, cloud, infrastructure-as-code, Python, SQL, MLflow, S3, Iceberg, and orchestration experience required.
Ōura: Private health-technology making smart rings and software that help consumers track sleep, activity, stress, and recovery.
5+ YOE5+ years in MLOps/platform/data engineering; experience running production workloads in AWS; ML lifecycle and governance expertise; familiarity with MLflow, CI/CD, orchestration, and reproducibility practices.
ELLKAY: Private healthcare data management and interoperability serving hospitals, laboratories, payers, health IT vendors, and practices.
12+ YOE12+ years software/data engineering with 5+ years focused on MLOps; deep AWS SageMaker and Bedrock experience; Python, Docker, CI/CD, infrastructure-as-code, observability, and HIPAA-compliant ML pipelines.
NBCUniversalNASDAQ: CMCSA: A leading global media and entertainment.
5+ YOEMaster's degree in CS/Engineering/Math, 5+ years MLOps experience, proven experience with Python, Git, Unix shell, Docker, Kubernetes, workflow orchestrators (Airflow/Prefect/Kubeflow), and collaboration tools; strong systems thinking and math background for 2D/3D media at scale.
Kohl'sNYSE: KSS: American department store retail chain offering apparel, home, and beauty.
3+ YOE3+ years ML engineering experience; bachelor’s in a quantitative field; experience with MLOps/DevOps practices (Docker, Kubernetes, CI/CD, Git), model serving, Spark/Kubeflow/Airflow/SQL, Python and ML libraries, and Google Cloud Platform (Vertex AI, BigQuery, Dataproc).
TetraScience: Private scientific data and AI platform that helps biopharmaceutical companies turn laboratory data into AI-ready workflows.
10+ YOE10+ years software/infrastructure engineering; technical leadership; multi-tenant security and compliance; production LLM and MLOps experience; expert TypeScript and Python; Databricks MLflow and AWS proficiency.