54 mlops engineer jobs at 39 companies in Seattle, WA
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Sr. Software Development Engineer, MLOPs
Bellevue, Washington, United States
$168k-$227k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years software development with system design and architecture experience, programming proficiency, experience leading teams, knowledge of ML fundamentals and ML frameworks, and experience with Kubernetes/EKS and distributed GPU training.
AtlassianNASDAQ: TEAM: Develops software for team collaboration and project management.
5+ YOE5+ years building ML/AI infrastructure, expert ML lifecycle and large-scale system design, proficiency in Python and ML frameworks, MLOps and CI/CD experience.
AxonNASDAQ: AXON: Develops weapons and software for law enforcement and safety.
8+ YOE8+ years building and deploying ML systems; strong background in sensor fusion, multi-target tracking, statistics; proficiency in Python and ML frameworks; experience with production deployments and MLOps.
Constellation Space: AI-powered operating system for satellite network management.
BS/MS in CS or Engineering (or equivalent), proven experience deploying ML models to production, strong software engineering in Python and C++, experience with Docker, cloud platforms and MLOps, and optimizing low-latency inference.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
4+ YOEBachelor's degree and 4+ years in AI/system or data engineering; experience with LLMs, production ML, distributed systems, Python, MLOps, and cloud deployments; strong communication and leadership.
LiveView Technologies: Mobile surveillance and automated security deterrence systems.
8+ YOE8+ years engineering experience in ML infrastructure/MLOps; hands-on LLM/VLM ops; model CI/CD, serving, monitoring, guardrails; strong API and system design; BS/MS in CS/Engineering or equivalent.
F5NASDAQ: FFIV: Provides application delivery networking and multi-cloud security solutions.
10+ YOE10+ years software engineering with recent ML/AI production experience; strong full-stack and backend skills; expertise in Python, Java, React/Next.js, MLOps, cloud (AWS/Azure), CI/CD, IaC, containers, and observability.
React, Next.js, TypeScript, JavaScript, Node.js, Python, Go, Java, Spring Boot, Hibernate, Postgres, DynamoDB, Aurora, Kinesis, S3, Microsoft Azure Blob, Microsoft Cosmos DB, JUnit, TestNG, Mockito, Selenium, Cucumber, Solace, Kafka, AWS SNS, AWS SQS, GitHub Actions, Microsoft Azure DevOps, Jenkins, Terraform, Microsoft Bicep, Microsoft ARM, Docker, Kubernetes, AKS, EKS, Salesforce Service Cloud, Experience Cloud, Coveo, Spark, Databricks, SQL, MLOps
LiveView Technologies: Provides mobile, solar-powered security units with AI-driven surveillance software.
8+ YOE8+ years in ML-infrastructure/MLOps building and operating model deployment, serving, CI/CD, monitoring, and LLM/VLM ops; strong API design and technical leadership; BS/MS in CS/Engineering or equivalent experience.
Los Gatos or Seattle or New York City or Los Angeles
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience building advertising measurement products and production ML systems; strong software engineering; proficiency in Java, Python, or Scala; experience with large-scale data processing and MLOps is a plus.
RemitlyNASDAQ: RELY: Provides digital cross-border money transfer services for global customers.
10+ YOE10+ years delivering ML systems in production; degree in CS/Data Science/Statistics/Mathematics or equivalent; strong programming in Python/Go/Scala; experience with PyTorch, scikit-learn, numpy and cloud platforms (AWS/GCP/Azure); MLOps and LLM/transformer experience preferred; leadership/mentoring.
Boston or Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington, D.C.
$225k-$304k/yrOnsiteFull Time
West Monroe: Business and technology consultancy specializing in digital transformation.
7+ YOE7+ years in software/data/ML/AI or architecture with hands-on AI engineering; strong Python plus TypeScript/Java/C# experience; experience with LLMs, RAG, agents, MLOps, and hyperscaler AI platforms; ability to work in US without sponsorship.
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
6+ YOE6+ years building and delivering AI/ML solutions; Bachelor's in CS/ML or related; proficiency with Python, Spark, Airflow, MLflow; experience with MLOps, model evaluation, and production ML systems.
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
8+ YOEBachelor's or equivalent,8+ years engineering experience,3+ years building AI/LLM solutions,proficiency in Python,AI frameworks,cloud and MLOps,strong communication and product delivery skills.
Information Technology - Principal Platform Engineer, Enterprise AI Enablement
Vancouver or Seattle or Toronto or New York City or Los Angeles
OnsiteFull Time
AritziaToronto Stock Exchange: ATZ: Designs and sells everyday luxury women's clothing and accessories.
Deep enterprise AI and platform architecture experience, LLMOps/MLOps, AI guardrails and observability, vector DBs and data orchestration, vendor evaluation, and cross-functional leadership for enterprise AI enablement.
Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI, LLMOps, MLOps, RAG
Mountain View or San Francisco or Kirkland or New York City
$213k-$263k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
Undergraduate degree or equivalent experience; proficiency in Python and C++; experience building/maintaining large-scale data pipelines and ML infrastructure; strong software engineering skills; distributed systems/MLOps experience preferred.
WiproNYSE: WIT: Global technology services and consulting for digital transformation.
5+ YOE5+ years experience building agentic AI, multi-agent systems, and ML solutions; proficiency in Python, MLOps, data pipelines; telco domain knowledge preferred.
Semantic Kernel, Microsoft Agent Framework, Python, ML Ops, Lang graph, Azure AI Factory, OpenAI, Azure AI Search, MCP, Snowflake, Databricks, Spark, Spark ML
Phoenix Group of Virginia: Provides logistics and engineering services to the U.S. Navy.
4+ YOEExpertise in LLM/RAG engineering, production MLOps, Python data stack, cloud ML (AWS/Databricks), and DoD-compliant AI operations; U.S. citizenship and ability to obtain/hold Secret clearance.
ADVANA, Databricks, AWS SageMaker, LangChain, LangGraph, cURL, Hugging Face Transformers, Pandas, Polars, SQL, Spark, Databricks Delta Lake, Gemini, Azure ML, Google Vertex AI
Amsterdam or Atlanta or Austin or Boston or Chicago or Dallas or Houston or Los Angeles or Madrid or Mexico City or New York City or San Francisco or Seattle or Silicon Valley or Washington
$129k-$172k/yrOnsiteFull Time
Bain & Company: Provides global management consulting and strategy advisory services.
3+ YOE3+ years AI/ML engineering experience, strong Python and API skills, experience with LLMs, retrieval/vector search, agentic systems, cloud (AWS/GCP/Azure), Docker/Kubernetes, ML lifecycle and MLOps, and consulting/client-facing experience.
Richmond or Indianapolis or Walnut Creek or Seattle or Grand Prairie or Winston-Salem or Chicago or Atlanta or Miami or Nashville or Tampa or Woburn or Norfolk
$231k-$417k/yrHybridFull Time
Elevance HealthNYSE: ELV: Provides health insurance plans and integrated healthcare services.
15+ YOEBachelor's in CS/IT (or equivalent) and 15+ years software engineering experience; production AI/ML, LLM and agentic systems experience; strong Python/Java skills; APIs, microservices, cloud, CI/CD and DevOps experience required.
Python, Java, APIs, microservices, event-driven architectures, cloud platforms, CI/CD, DevOps, MLOps, LLMOps, Large Language Models (LLMs), agentic systems, distributed systems
H2O.ai: Provides open-source machine learning and predictive analytics for enterprises
5+ YOE5+ years in pre-sales, sales engineering, or solution architecture for enterprise AI/ML; hands-on Generative AI and ML experience, Kubernetes and cloud-native deployments (AWS, Microsoft Azure, Google Cloud Platform), strong presentation and technical storytelling skills; willing to travel up to 50%.
Driverless AI, h2oGPTE, Kubernetes, AWS, Microsoft Azure, Google Cloud Platform (GCP), MLOps, CI/CD, LLMs, RAG