DevOps Engineer – MLOps
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Join 🌟 VERTEX AGILITY 🌟 — a high-performance, remote-first consultancy building resilient, cloud-native platforms at scale.
We’re looking for a DevOps Engineer – MLOps with a strong engineering mindset and passion for production-grade machine learning systems.
🎯 The Mission
Build and scale robust MLOps platforms for seamless ML deployment
Design and maintain end-to-end data pipelines for ML workflows
Develop infrastructure for training, testing, deploying, and monitoring ML models
Enable reliable model deployment using AWS SageMaker
Implement automated CI/CD pipelines for ML lifecycle
Leverage Kubernetes to orchestrate and scale ML workloads
Collaborate with data scientists, data engineers, and platform teams
Ensure performance, scalability, and reliability of ML systems
🧠 You Bring
Strong experience in DevOps / MLOps engineering
Proficiency in Python for automation and ML workflows
Hands-on experience with AWS (SageMaker preferred)
Experience building ML data pipelines
Strong knowledge of CI/CD for ML deployments
Expertise in Kubernetes, Docker
Familiarity with TensorFlow / ML frameworks
Experience working with AI/ML teams
Strong understanding of cloud-native architecture
📍 Location: United Kingdom (Remote)
#MLOps #DevOps #MachineLearning #AWS #SageMaker #Kubernetes #Python #CI_CD #CloudEngineering #RemoteJobs
👉 DM me or apply now — let’s build the future of scalable AI together at VERTEX AGILITY.