AI & Machine Learning Engineer, Associate
London, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
LGBT Great
a related subject area. 2+ years of experience in software and platform engineering. Proficiency in designing and building scalable APIs and microservices. Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in containerization technologies (Docker, containerd). Experience in CI/CD More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: