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.