38 mlops engineer jobs at 26 companies in Camp Pendleton South, CA
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Sr Engineer, AI Innovations
Irvine, California, United States
$150k-$194k/yrOnsiteFull Time
PDS Health: Provides business and administrative support services to dental practices.
8+ YOE8+ years AI/ML engineering or MLOps experience, bachelor's in CS/Engineering or +5 years experience, certifications in cloud ML, expertise in model deployment, MLOps, security and regulatory compliance.
Senior Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring
Irvine, California, United States
$130k-$207k/yrOnsiteFull Time
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
4+ YOEPhD+4 or MS+7 or BS+8 in AI/ML/data science/software engineering; experience productionizing ML/LLM models, MLOps, mentoring engineers, building scalable experimentation and working in regulated healthcare environments.
PDS Health: Provides administrative and business support services to dental practices.
8+ YOE8+ years AI/ML engineering or MLOps experience, familiarity with AI lifecycle, strong problem-solving and leadership, bachelor\u0002s in CS/Engineering or +5 years experience in lieu, relevant ML certifications preferred.
Megazone Cloud: Provides managed cloud services and digital transformation consulting.
5+ YOE5+ years data engineering experience, expert in Python and SQL, hands-on with Databricks or Snowflake and AWS, ability to lead projects and mentor engineers.
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
15+ YOE15+ years software engineering,5+ years at principal/staff/director scope;deep expertise in agentic AI,LLM systems,multi-agent orchestration,RAG,LLMOps/MLOps,AI observability,governance;enterprise cloud architecture and leadership.
General Atomics Aeronautical Systems: Designs and manufactures unmanned aircraft and radar systems.
3+ YOEBachelor's (or higher) in CS/engineering/math or equivalent experience; 3–5+ years ML engineering experience; experience with Python, Jupyter, Scikit, TensorFlow, PyTorch, C++, Linux; ability to obtain and maintain DOD security clearance; US citizenship required.
Arrowhead PharmaceuticalsNASDAQ: ARWR: Develops RNAi medicines to treat genetic and intractable diseases.
Bachelor's or Master's in a related field; strong Python, Linux, and Git skills; foundational statistics and ML knowledge; experience with biological/omics datasets, reproducible workflows, and scientific software; PhD preferred for senior levels.
ICW Group: Provides workers' compensation and specialty property and casualty insurance.
3+ YOEBachelor's in a technical discipline, 3+ years AI/ML engineering (1–2 years in generative AI/LLMs), cloud model deployment experience (preferably AWS), Snowflake feature engineering, Python and ML framework proficiency, MLOps and containerization experience.
General Atomics: Designs and manufactures unmanned aircraft and nuclear technology systems.
2+ YOEBachelor's or master's in CS/engineering/math (or equivalent experience), 2+ years ML experience, strong ML fundamentals, scalable software architecture, edge model optimization, proficiency in Java, JavaScript, C/C++, Python, TensorFlow, PyTorch, ability to obtain DoD Secret clearance.
AbbVieNYSE: ABBV: Develops and sells innovative pharmaceutical and biopharmaceutical medicines.
3+ YOEBS/MS/PhD in quantitative field, 3+ years building and deploying ML pipelines, strong Python skills, experience with Pandas/PySpark, scikit-learn/HuggingFace/TensorFlow/Keras/PyTorch, SQL, MLOps and cloud (AWS preferred).
Innovative Defense Technologies: Develops AI-enabled software and systems for defense customers, focusing on automation and rapid delivery of mission-critical capabilities.
3+ YOE3+ years technical experience, bachelor\u0002s in CS/Data Science/Engineering or equivalent, U.S. citizenship, able to obtain/maintain Secret clearance, experience with LLMs/generative AI, prototyping, secure software practices, and stakeholder collaboration.
Goal Solutions: Provides loan servicing and asset management financial solutions.
2+ YOEBachelor's or Master's in CS/AI/software engineering (or related), 2+ years building/deploying production AI/ML/LLM solutions, strong Python and SQL, experience with PyTorch/TensorFlow/scikit-learn, LangChain/LlamaIndex, data pipelines and MLOps.
Capital Group: Providing active investment management and research-driven financial strategies
10+ YOE10+ years software engineering experience, strong Python, hands-on LLM/LLMOps and RAG production experience, system design, eval-driven development, security/privacy controls, and bachelor’s degree or equivalent.
AbbVieNew York Stock Exchange: ABBV: Researches, develops, and manufactures biopharmaceutical and medical products.
3+ YOE3+ years building, evaluating, scaling, and deploying ML pipelines; BS/MS/PhD in quantitative field; strong Python, ML libraries, SQL, AWS, and MLOps experience.
Seasats: Builds autonomous surface vessels for persistent maritime intelligence.
7+ YOE7+ years ML experience (5+ on perception), strong Python/PyTorch, edge model optimization (quantization/pruning, TensorRT/ONNX Runtime), experience with sensor data and MLOps; must be U.S. person.
Anduril Industries: Defense technology building autonomous military hardware and software.
Experience building ML training, orchestration, and dataset management infrastructure; strong Python, Rust exposure (PyO3,Maturin) preferred; familiarity with TensorFlow/PyTorch, distributed training, MLOps tooling, Kubernetes; U.S. Person required; Top Secret clearance eligibility desirable.
Pacific Life: Provides life insurance, annuities, and investment products for financial security.
20+ YOE8+ MgmtRequires 20+ years of engineering experience, including 8+ years leading Director-level teams, production AI/ML delivery, cloud-native architecture, MLOps/LLMOps, AI governance, security, privacy, and compliance expertise.
Paperless Parts: Cloud-based quoting software for custom part manufacturers.
8+ YOE8+ years in R&D/ML roles, technical degree in CS or applied math required, experience with ML lifecycle and MLOps (e.g., AWS SageMaker), strong communication and mentorship skills; US citizenship or green card required.