DevOps Engineer – MLOps

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.