Job Summary

Work Settings:: Hybrid

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Job Description

Salary: £59,000 - 99,000 per year

Requirements:

AWS
Kubernetes
Infrastructure as Code (IaC), specifically Terraform
GitOps tooling, including Helm and ArgoCD
Monitoring and alerting for production systems, such as Prometheus and Grafana or similar
Azure knowledge is desirable
MLOps experience in Kubernetes, such as Kubeflow
Experience running GPU workloads on Kubernetes, including drivers, scheduling, and utilisation
Familiarity with AI engineering
Experience deploying in air-gapped customer environments
Experience 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 environments
Work on ML/AI pipelines
Deploy ML models
Design and implement our telco deployment package
Work alongside engineers and telco engineering teams

Technologies:

AI
AWS
ArgoCD
Azure
Backend
GitOps
Grafana
Helm
Kubeflow
Kubernetes
MLOps
Prometheus
Terraform
Cloud
DevOps

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

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