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:

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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Intellectual Capital Resources

Senior DevOps/Infrastructure Engineer

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Intellectual Capital Resources