1 of 1 Data Ingestion Jobs in East London

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯