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Member of technical staff (Infrastructure) - London

Hybrid London💼 Full-time🗓 2026-07-09 → 2026-09-26

Core

Design and manage infrastructure to support research in model and agent development, product engineering for the agent platform, and public services.

Role type

Senior Infrastructure Engineer (AI/ML focus)

Builds

Training infrastructure, data pipelines, inference systems, client-facing APIs, and agent runtimes

Domain

Artificial Intelligence, Agentic AI, Cloud Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Observability and monitoring, Python or JavaScript/TypeScript, distributed systems architecture, containerization and orchestration, infrastructure as code, CI/CD management

Preferred skills

ML Ops, Data Engineering, public cloud architecture (AWS, Azure, GCP)

Technologies

Datadog, Prometheus, Grafana, Docker, Kubernetes, CDK, Terraform, Github Actions, Gitlab CI, TeamCity

Responsibilities

Design and manage infrastructure for model and agent research; build and maintain the agent platform; setup and maintain observability and monitoring strategies

Seniority

Senior, hands-on IC

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