Lead MLOps Engineer for Sovereign AI on Kubernetes

Dex; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

Dex is seeking an experienced MLOps engineer to own deployment patterns and observability for LLM services within sovereign Kubernetes environments in London. You will work between distributed systems engineering, GPU scheduling, and agent execution logic to ensure reliability under enterprise loads.

You will design scalable deployment patterns, optimize costs, and implement trace-level observability across complex multi-step agent workflows, enabling robust AI platforms in regulated settings.

Qualifikationen

• 3+ years in MLOps/LLMOps or AI platform engineering.
• Production experience with containerised workloads on Kubernetes.
• Strong Python and IaC/CI-CD automation.

Aufgaben

• Architect and automate zero-downtime deployment pipelines for LLM services on Kubernetes.
• Build end-to-end evaluation and observability to trace agent execution and model drift.
• Own GPU/CPU allocation, cluster autoscaling, and compute efficiency.
• Maintain stability and latency of real-time data subsystems and feature stores.
• Diagnose production failures spanning agent runtime, orchestration, and cloud infra.

Kenntnisse

Python

Kubernetes

CI/CD

IaC

Observability

Tools

OpenTelemetry

Prometheus

Grafana

LangSmith

Langfuse

Arize

Jobbeschreibung

Dex is seeking an experienced MLOps engineer to own deployment patterns and observability for LLM services within sovereign Kubernetes environments in London. You will work between distributed systems engineering, GPU scheduling, and agent execution logic to ensure reliability under enterprise loads.

You will design scalable deployment patterns, optimize costs, and implement trace-level observability across complex multi-step agent workflows, enabling robust AI platforms in regulated settings.