Senior AI-Driven DevOps & MLOps Engineer - Kubernetes

Intellectual Capital Resources; Greater London; Hybrid; GBP 59,000 - 99,000; Full time

Benefits offered by this job

Hybrid role in London

Three days on-site

Job summary

Intellectual Capital Resources in London is seeking a skilled ML/DevOps Engineer to join our fast-growing AI-for-telecoms team. The role combines backend and ML/AI deployment across development and staging environments with a strong emphasis on automation and security.

You will design and maintain ML pipelines, deploy models, and collaborate with telco and engineering teams to deliver carrier-scale AI applications in a hybrid London-based setting.

Qualifications

• Knowledge of AWS, Kubernetes and Terraform for cloud-native deployments.
• Experience with GitOps tooling (Helm, ArgoCD) and monitoring (Prometheus/Grafana).
• Azure knowledge is a plus; MLOps in Kubernetes (Kubeflow) preferred.
• Experience running GPU workloads on Kubernetes and AI engineering familiarity.
• Experience deploying in air-gapped environments and strong secrets management.

Responsibilities

• Collaborate with Backend and ML/AI engineers to deploy and maintain dev and staging environments.
• Develop and manage ML/AI pipelines and deploy ML models.
• Design and implement telco deployment packages with engineering teams.

Tools

AWS

Kubernetes

Terraform

Helm

ArgoCD

Prometheus

Grafana

Azure

Kubeflow

GPU workloads

AI engineering

air-gapped deployments

secrets management

Job description

Intellectual Capital Resources in London is seeking a skilled ML/DevOps Engineer to join our fast-growing AI-for-telecoms team. The role combines backend and ML/AI deployment across development and staging environments with a strong emphasis on automation and security.

You will design and maintain ML pipelines, deploy models, and collaborate with telco and engineering teams to deliver carrier-scale AI applications in a hybrid London-based setting.