Browse DevOps & SRE Jobs
Search 83 curated tech job listings scraped in real-time from LinkedIn, Glassdoor, RemoteOK, and more. Filter by role, location, seniority, and source to find your next opportunity.
83 jobs found for "MLOps"
Page 1 of 5
Senior MLOps Engineer - Edge
…highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus … building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems…
Senior DevOps Engineer
…secure delivery patterns behind [R]DP, [R]AP, [R]AIMS, and Raft’s MLOps deployments. You will design and harden Kubernetes-based platform architecture, improve GitOps and CI/CD workflows, automate compliance evidence … model-serving requirements, runtime dependencies, and production failure modes Support and optimize data-intensive and MLOps workloads using technologies such as Kafka, Flink, Pinot, KServe, Kubeflow, Ray, GPU-enabled nodes, and model…
AI System Engineer
…industrialisation d’architectures data scalables la mise en place de systèmes IA et MLOps en environnement cloud ou on-premise Ces solutions s’inscrivent dans des projets clients exigeants, ainsi que dans … produits clients Contribuer à la mise en place et à l’évolution de notre stack MLOps / Data Engineering Participer aux code reviews, challenger les implémentations et partager les bonnes pratiques Prendre part…
(Senior) AI Platform Engineer
…für unsere Kunden. Du arbeitest mit Kubernetes, GPU-Infrastrukturen, Infrastructure as Code sowie modernen CI/CD-, MLOps- und LLMOps-Ansätzen und unterstützt Unternehmen dabei, Generative AI und Machine Learning erfolgreich in den produktiven … NVIDIA NIM, Ray) für klassische ML-Modelle und Large Language Models. Entwicklung und Betrieb von MLOps-/LLMOps-Workflows für produktive GenAI-Services – inklusive Guardrails & Policies, Evaluierung, Regressionstests sowie Kosten- und Qualitätsmonitoring. Bereitstellung…
ML Systems Engineer - Model Training and Infrastructure (SWE-focused LLMs) New
…into future training. This is not a narrow research role and it is not traditional MLOps. You’ll move between custom PyTorch code, distributed data pipelines, Dockerised services, RL environments, evaluation infrastructure … runs. Full-stack ML engineering: Move between PyTorch, distributed systems, data curation, RL infrastructure and MLOps. Frontier problems: Help define how AI systems learn to perform real software-engineering work. Meaningful ownership…
Strategic Solution Architect, Presales (Central)
…help us to continue to lead the rapidly evolving space of DevOps, DevSecOps and MLOps! As a Strategic Solution Architect, Presales in JFrog you will... Engage with JFrog’s most strategic customers … gathered from customers Keep current with the latest technology trends related to the DevOps, DevSecOps, MLOps and IoT landscapes Collaborate with Customer Success and Marketing to broaden our customer engagements horizontally…
Strategic Solution Architect, Presales (West)
…help us to continue to lead the rapidly evolving space of DevOps, DevSecOps and MLOps! As a Strategic Solution Architect, Presales in JFrog you will... Engage with JFrog’s most strategic customers … gathered from customers Keep current with the latest technology trends related to the DevOps, DevSecOps, MLOps and IoT landscapes Collaborate with Customer Success and Marketing to broaden our customer engagements horizontally…
Lead DevOps Engineer
…CI/CD pipelines, Infrastructure as Code (IaC), and automated deployment solutions across multi-cloud environments Establish MLOps infrastructure and deployment frameworks to support model lifecycle management, monitoring, and AI/ML pipeline automation Drive adoption … technologies (e.g., Kubernetes, Docker, OpenShift) 2+ years of experience building, deploying, and maintaining AI/ML pipelines, MLOps tooling, or AI-powered automation solutions 2+ years of experience implementing monitoring, observability, and alerting solutions…
Senior AI Platform Engineer - Data Factory
…développement pour l'ensemble de nos communautés (Data Engineers, Analysts, Scientists). Notre équipe IA / MLOPS au cœur de la Data Factory est une brique essentielle de cette mission. Elle est chargée … APPORTES Expérience : Tu justifies de 4 ans minimum d’expérience sur un rôle similaire (MLOps, ML engineer, OPS Engineer, Platform Engineer); Pédagogie et Sens du service : Tu sais accompagner les utilisateurs avec…
Senior Azure DevOps
…Description Role Summary Handles CI/CD pipelines, infrastructure provisioning and deployments, MLOps automation or model monitoring. Key Responsibilities Build and maintain CI/CD pipelines for applications and ML components. Provision and manage infrastructure using … Kubernetes) and deployment strategies (blue/green, canary). Implement monitoring, logging, alerting, and incident response playbooks. Support MLOps automation: model packaging, deployment, and runtime monitoring. Drive security and compliance automation (scans, secrets management, policy…
Software Engineering Manager (Test & Devops)
…submission Own cloud-side data pipelines and infrastructure-as-code, supporting data ingest, analysis, and MLOps workflows where required Coordinate cybersecurity workstreams, working closely with IT and QARA teams Partner with … Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated performance evaluation and deployment of organisational AI strategy…
Cloud Senior DevOps Engineer
…United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. What You Will Be Responsible For CI/CD & MLOps Pipeline Management: Design, implement, and maintain end-to-end CI/CD pipelines for both software applications … core networking principles (TCP/IP, DNS, HTTP, Load Balancing, VPCs). AI/ML Infrastructure Experience: Familiarity with MLOps practices, model serving/inferencing frameworks (e.g., vLLM, TGI, Triton Inference Server), and experience managing GPU clusters for AI/ML…
Cloud Senior DevOps Engineer
…United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. What You Will Be Responsible For CI/CD & MLOps Pipeline Management: Design, implement, and maintain end-to-end CI/CD pipelines for both software applications … core networking principles (TCP/IP, DNS, HTTP, Load Balancing, VPCs). AI/ML Infrastructure Experience: Familiarity with MLOps practices, model serving/inferencing frameworks (e.g., vLLM, TGI, Triton Inference Server), and experience managing GPU clusters for AI/ML…
ML Data & Platform Engineer
…issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What … grade observability Ability to design resilient, scalable architectures, and comfort operating and troubleshooting distributed systems MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation, or reproducible ML workflows A self…
ML Data & Platform Engineer
…issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What … grade observability Ability to design resilient, scalable architectures, and comfort operating and troubleshooting distributed systems MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation, or reproducible ML workflows A self…
Ingénieur DevOps - H/F
…vous pourrez également être amené(e) à évoluer dans des environnements Data, Intelligence Artificielle et MLOps . Qualifications Profil recherché : Vous justifiez idéalement d’au moins 5 ans d’expérience sur des fonctions … calcul et de stockage. Une expérience sur Azure ainsi qu’une connaissance des environnements MLOps, Data ou Intelligence Artificielle constituent des atouts supplémentaires mais ne sont pas indispensables. Vos qualités : Au-delà…
DevOps II
…seamless releases Troubleshoot and resolve infrastructure and deployment issues Support AI/ML model deployment and basic MLOps workflows Required Skills: 4+ years of experience in DevOps or related roles Strong hands-on experience … Terraform, CloudFormation, etc.) Preferred Skills: Basic knowledge of AI/ML concepts and model deployment Familiarity with MLOps tools and workflows Experience with monitoring tools (Prometheus, Grafana, ELK stack) Knowledge of security best practices…
Senior DevOps Engineer
…standards Manage image lifecycle in ACR (tagging strategy, retention policies, geo-replication) Nice to Have MLOps experience: vLLM deployment on Azure ML, LoRA adapter management, LiteLLM proxy configuration Familiarity with AI/ML model … private endpoints, AKS CNI models, TLS/cert-manager Agile/ADO — sprint ceremonies, Boards, runbook authoring Nice to have — MLOps (vLLM, Azure ML) Qualifications Graduate/Master's degree in Computer Science, Engineering, or related discipline Ability…
Director AI Platform Engineering
…engineering standards, operating rhythms, delivery practices, documentation expectations, and technical review processes. Establish and drive MLOps practices: continuous improvement across AI engineering practices, reproducible training pipelines, model versioning and registry, automation, CI/CD … operating production ML infrastructure at scale: training pipelines, model serving/inference, GPU resource management, and MLOps tooling, on at least one major cloud provider (AWS, GCP, or Azure). Experience in distributed training, Slurm/HPC…
Senior Site Reliability Engineer
…troubleshoot and maintain distributed systems and supporting technologies (RabbitMQ, Kafka, PostgreSQL, Redis) Observability, Data and MLOps: Hands-on experience with Datadog for platform and application monitoring, performance optimisation, and solid fundamentals … database structures and operational troubleshooting. Hands-on experience with PySpark and familiarity with MLOps practices including model registries, versioning, retraining workflows, and deployment lifecycles Why you’ll love it here: We want…