MLOps Engineering
429 open positions
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Staff Software Engineer (L6) - Developer Productivity — Platform Systems, AIMS Engineering NetflixUSA - Remote $600k–$1066k3mo Own the end-to-end developer experience for AIMS ML practitioners, including local/remote dev environments, build/test infrastructure, CI/CD pipelines, and tools to move ideas to production experiments.
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Machine Learning Engineer, Infra, AI for Drug Discovery RocheSouth San Francisco, US $141k3mo Building and operating scalable model-serving infrastructure and lifecycle management platforms for machine learning, scientific, and agentic workloads to enable reliable production deployment.
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MLOps Engineer role SkillHuset Sweden ABGöteborg, Sweden 3mo Design, implement, and optimize end-to-end MLOps pipelines for batch and real-time machine learning algorithms, ensuring scalability and robustness in production.
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Senior Machine Learning (MLOps) Engineer- Worldwide Product Marketing AppleCupertino, United States of America 3mo Build, deploy, and optimize scalable AI/ML applications and infrastructure, bridging data science and engineering to ensure reliable production systems.
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Data Engineering Professional II TakedaIND - Bengaluru 3mo Build and maintain MLOps platforms and pipelines to operationalize machine learning and generative AI models for clinical development, regulatory operations, and translational research in a GxP-compliant environment.
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Machine Learning Engineer HiscoxYork 3mo Build and maintain infrastructure to acquire data, deploy, monitor, and upgrade core data science services for machine learning models across the enterprise.
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Staff Engineer - ML Infra / MLOps QuinceUnited States - Palo Alto, CA $218k3mo Design and operate production-grade ML infrastructure platforms enabling distributed training, feature stores, and high-throughput inference serving for a scaling retail AI team.
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AI Tech Lead H/F MeilleurtauxCourbevoie, IDF, fr 3mo Technical lead responsible for governing the AI factory, ensuring technical excellence, and industrializing AI solutions (document analysis, fraud detection) on Azure.
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Tech Lead Data Science / MLOps H/F OpenLevallois-Perret 3mo Design, develop, and industrialize end-to-end Data & AI solutions for enterprise clients, transforming business needs into reliable, scalable products.
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MLOps engineer AccentureRemote €1k–€3k3mo Design and implement cloud-based MLOps pipelines to deploy, maintain, and monitor machine learning models in production.
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Senior AI Engineer ArmSeattle, Washington $171k3mo Design and build ML DevOps infrastructure to streamline the deployment of data, models, and software in production-level environments for Edge AI applications.
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Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Canonical-LtdRemote 3mo Design, build, and maintain end-to-end data analytics and MLOps solutions (ETL, data governance, visualization, workflow orchestration) deployed on public/private clouds, local workstations, or Kubernetes.
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Principal Machine Learning Engineer GrabSingapore 3mo Senior technical anchor and solution architect for Grab's core ML and AI infrastructure platform, enabling hundreds of data scientists and ML engineers to build production models.
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MLOps Engineer - Platform EntrupyEntrupy India 3mo Build and maintain the machine learning platform infrastructure, tooling, and pipelines to operationalize research models for production in Entrupy's AI authentication systems.
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Senior AI/ML Engineer EcoVadisRemote 3mo Design, develop, deploy, and maintain scalable AI/ML systems to solve business problems and drive innovation across the organization.
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Senior Data Platform Engineer DraftKingsLondon, UK 3mo Design, scale, and operate the Databricks and cloud infrastructure powering automated, reproducible ML workflows.
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IT-Kundenbetreuer/in Plansee Group Functions Austria GmbHRemote €55k3mo Design, deploy, and maintain production-ready AI solutions and services, bridging the gap between data science models and enterprise business workflows.
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Senior AI Engineer (AI Factory) PgWARSAW DOWNTOWN OFFICE 4mo Technical lead for a team building scalable Agentic, AI, and API solutions to empower data scientists with reusable tools and services.
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MLOps Team Lead
NanitRamat Gan (Hybrid)
4mo
Own AI infrastructure and backend engineering efforts, leading a team to build systems that turn Deep Learning and Computer Vision research into reliable, scalable production features for a baby monitoring product.
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Cloud-Native Architect (m/w/d) WorkidentityRemote €80k–€100k4mo Designing scalable cloud-native architectures and implementing Kubernetes, CNCF technologies, and MLOps pipelines.
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ML Engineer – MLOps & Platform Engineering (m/w/d) SIMCON kunststofftechnische Software GmbHRemote 4mo Build and operate the MLOps platform and AWS service that manages training data, model lifecycle, and production deployment for a Large Engineering Model (LEM) used in plastic injection molding simulations.
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Senior ML Ops Engineer ConfidoNYC Office 4mo Own the end-to-end ML platform infrastructure, pipelines, and cloud foundation to serve document-understanding, forecasting, and agentic systems at scale.
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Principal AI & Machine Learning Engineer, Spring, Texas, Onsite HpeSpring, Texas, United States of America $152k4mo Design, develop, and deploy scalable AI/ML-powered applications and microservices on Kubernetes infrastructure.
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ML Ops Lead FuturefitaiRemote $195k4mo Lead the assessment, design, and hands-on implementation of scalable data and ML infrastructure to support AI-powered workforce development platforms.
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Principal Machine Learning Engineer FacultyUK - London 4mo Defining and owning the organisation-wide technical vision for ML engineering, establishing architectural standards, and overseeing end-to-end delivery of flagship, business-critical ML programmes.
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Sr. Director of Data Science Engineering HcscIL - Chicago, US $162k4mo Lead the Data Science Engineering function to operationalize AI/ML solutions at scale, focusing on MLOps, model deployment, and infrastructure reliability for healthcare members.
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ML Ops Engineer ConstructortechRemote 4mo Build and maintain infrastructure and tooling to ensure reliable production of machine learning systems, managing the full lifecycle from experimentation to deployment.
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Staff Machine Learning Ops Engineer PreplyBarcelona 4mo Define and evolve the ML platform enabling machine learning at company scale for personalized learning, marketplace intelligence, and GenAI products.
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AI Engineer, Dev Ops NtuNTU Main Campus, Singapore 4mo Operate and maintain the central data platform and cloud infrastructure (GCP/AWS) for AI research and products, ensuring reliability, security, and efficiency while integrating AI tools into operational workflows.
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Staff Machine Learning Engineer↗ SiriusxmDublin, County Dublin, Ireland 4mo Lead the deployment of machine learning models into reliable, scalable production systems, managing the full lifecycle from development to serving and monitoring.
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Senior MLOps Engineer NngroupMadrid 4mo Build and productize AI capabilities (RAG pipelines, model serving) into scalable, governed, developer-friendly services for NN Group's international business units.
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MLOps Engineer PepsiCoCornella de Ll., Spain 4mo Build, operate, and evolve a Kubeflow-based ML platform on Azure to enable reliable, scalable, and cost-efficient ML workflows for MLE and Data Science teams.
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Staff Machine Learning Engineer - Game Tech Group, ML Platform RiotgamesLos Angeles, USA 5mo Architecting and scaling the shared ML infrastructure (model serving, orchestration, feature management) to move AI systems from experimentation to reliable production services across Riot's game development and player experience teams.
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Machine Learning Engineer / MLOps (Python, Cloud, Data) – Híbrido - CDMX Orion InnovationMexico City, Mexico City, Mexico 5mo Building and maintaining machine learning pipelines, implementing CI/CD for models, and deploying models to production environments to enhance customer experience.
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Senior Machine Learning Engineer (m/f/d)↗ Sixt 5mo Building and maintaining scalable infrastructure for Data Science ML models, algorithms, and optimization solvers to drive business processes like pricing.
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MLOps Engineer T-Systems-Ict-India-Pvt-LtdPune, MH, in 5mo Implement and improve data processing & machine learning pipelines, acting as the backbone for Data Scientists to optimize data solutions and infrastructures.
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Senior AI/ML Engineer - BCN/MAD Aily Labs SLUMadrid - Hybrid / Barcelona - Hybrid 5mo Build and scale AI/ML infrastructure and pipelines to power a B2B SaaS decision intelligence platform for enterprise users.
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Data Scientist / MLOps Engineer | Teletrabajo↗ ServiclientsRemote €53k5mo Develop, deploy, operate, and maintain production machine learning solutions, ensuring models are reliable, traceable, and sustainable.
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Data Engineer CuspAILondon, UK 6mo Build pipeline infrastructure and tooling to bridge raw chemical data and machine learning models for materials discovery.
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Operations Engineer Data & AI (m/w/d) statworx GmbH (DE)Remote 6mo Operate, maintain, and continuously develop production AI and ML systems in cloud environments with a focus on Azure.
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Staff MLOps Engineer TrinetAtlanta, GA, United States $125k6mo Design, implement, and optimize machine learning operations infrastructure to ensure seamless deployment and maintenance of ML models for HR solutions.
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Data Science Lead Blend360Guadalajara, Jal., mx 6mo Design, develop, and deploy Machine Learning models to solve business problems and integrate them into production environments.
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Machine Learning Operations Engineer II S&P GlobalCambridge, Massachusetts; New York, New York 6mo Building and supporting a mature ML platform to empower ML engineers with state-of-the-art processes, tooling, and infrastructure for rapid iteration and reliable production deployment.
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Senior Dev/ML Ops Engineer HumanoidUK, London 6mo Own and manage the full lifecycle of ML models and core infrastructure, from development and deployment to monitoring and continuous improvement for industrial humanoid robots.
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Senior MLOps Engineer / AI Platform Specialist Twoday DenmarkKøbenhavn, DK 7mo Design, build, and operate production-grade machine learning platforms ensuring scalability, reliability, and secure deployment of AI solutions.
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Machine Learning /MLOps Engineer Gears of Leo ABStockholm, Sweden 7mo Design, build, and maintain scalable MLOps infrastructure, tools, and processes for continuous integration, delivery, and training of machine learning models.
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Engineering Manager - MLOps & Analytics CanonicalRemote 7mo Lead a distributed team of engineers to develop and maintain MLOps/Analytics solutions, ensuring high-performing teams and technical excellence.
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Lead ML Engineer Intuition-MacHines-IncRemote 7mo Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance.
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