Azure AI/ML Engineer β€” Production Systems & MLOps

Azure AI/ML Engineer β€” Production Systems & MLOps

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
DLA Piper

At a Glance

  • Tasks: Design, deploy, and optimise AI products and ML models in Azure.
  • Company: Join DLA Piper, a leader in legal services with a focus on innovation.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Collaborate with a dynamic team of data scientists and engineers.
  • Why this job: Make a real impact by moving AI from experiments to reliable production systems.
  • Qualifications: Hands-on experience with Azure tools and strong skills in Python, Docker, and Kubernetes.

The predicted salary is between 80000 - 100000 Β£ per year.

DLA Piper is seeking an AI Engineer to design, deploy, and optimise AI products and ML models within Azure-based infrastructure. You will collaborate with data scientists, engineers, and stakeholders to move AI from experiments to reliable production systems, emphasizing governance, security, and cost control.

The role requires hands-on expertise with:

  • Azure Databricks
  • Azure ML
  • Azure AI Foundry
  • ML lifecycle practices

Plus strong skills in:

  • Python
  • Docker
  • Kubernetes

to deliver scalable solutions.

DLA Piper

Contact Details:

DLA Piper Recruitment Team

We think you need these skills to ace Azure AI/ML Engineer β€” Production Systems & MLOps

Azure Databricks
Azure ML
Azure AI Foundry
ML lifecycle practices
Python
Docker
Kubernetes