Senior ML Ops Engineer — Hybrid, Real‑Time Cloud

Allianz UK

Greater London

Híbrido

GBP 51 000 - 69 000

Tempo integral

Há 4 dias
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Vantagens oferecidas por esta oferta de emprego

Hybrid working
Annual performance related bonus
Contributory pension scheme
Development days
Discounts on Allianz products

Resumo da oferta

Allianz UK is seeking a Senior MLops Engineer to design, build and operate production‑level data and machine‑learning services. You will deploy containerised apps, implement Terraform‑driven infrastructure and maintain real‑time endpoints serving high‑volume requests.

You’ll work in a small agile team, shaping data/model outputs, and advancing cloud tooling, monitoring, and platform development. Hybrid role with offices in London, Bristol, or Bournemouth and occasional in‑office attendance.

Qualificações

  • Hands-on with production data/ML systems
  • Experience deploying and monitoring services
  • Cloud infra experience with IaC tools (Terraform)
  • Experience with containerised apps (Docker) and orchestration (Kubernetes)
  • CI/CD automation in production
  • Strong Python development and testing practices
  • Ability to communicate with non-technical stakeholders

Responsabilidades

  • Design, build, and operate production‑level data/ML services
  • Develop and orchestrate Docker containers
  • Implement IaC with Terraform to manage cloud infra
  • Build and maintain monitoring for model performance and reliability
  • Develop CI/CD pipelines using Azure DevOps or GitHub Actions
  • Write clean, tested Python for data pipelines and services
  • Deliver data extracts and features for modelling and analytics
  • Work in an agile team and communicate technical decisions clearly

Conhecimentos

Docker
Kubernetes
Python
CI/CD
Azure DevOps / GitHub Actions
Terraform
Agile
Real-time APIs
DBT
SQL

Formação académica

Bachelor's or above in a technical field

Ferramentas

Azure
dbt
Microsoft Fabric
SQLMesh

Descrição da oferta de emprego

Allianz UK is seeking a Senior MLops Engineer to design, build and operate production‑level data and machine‑learning services. You will deploy containerised apps, implement Terraform‑driven infrastructure and maintain real‑time endpoints serving high‑volume requests.

You’ll work in a small agile team, shaping data/model outputs, and advancing cloud tooling, monitoring, and platform development. Hybrid role with offices in London, Bristol, or Bournemouth and occasional in‑office attendance.

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