About this role
Salary: £59,000 - 99,000 per year
Requirements: AWSKubernetesInfrastructure as Code (IaC), specifically TerraformGitOps tooling, including Helm and ArgoCDMonitoring and alerting for production systems, such as Prometheus and Grafana or similarAzure knowledge is desirableMLOps experience in Kubernetes, such as KubeflowExperience running GPU workloads on Kubernetes, including drivers, scheduling, and utilisationFamiliarity with AI engineeringExperience deploying in air-gapped customer environmentsExperience with secrets management and least-privilege access across environments Responsibilities: Work closely with Backend and ML/AI engineers to deploy and maintain development and staging environmentsWork on ML/AI pipelinesDeploy ML modelsDesign and implement our telco deployment packageWork alongside engineers and telco engineering teams Technologies: AIAWSArgoCDAzureBackendGitOpsGrafanaHelmKubeflowKubernetesMLOpsPrometheusTerraformCloudDevOps More:
We are a fast-growing tech company applying AI to the telecoms industry. This is a hybrid role based in our London office, with three days per week on site. We are building next-generation Voice AI products for real-world, carrier-scale environments, and you will work on cutting-edge challenges in Speech AI, Conversational AI, and AI safety. The role offers high ownership, autonomy, and direct impact on product and company strategy.
last updated 36 week of 2026