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

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

London 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: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a strong emphasis on governance and security.
  • Why this job: Be at the forefront of AI technology and make a real impact in production systems.
  • Qualifications: Experience with Azure tools, Python, Docker, and Kubernetes is essential.

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, and ML lifecycle practices, plus strong Python, Docker, and Kubernetes skills to deliver scalable solutions.

Azure AI/ML Engineer β€” Production Systems & MLOps in London employer: DLA Piper

DLA Piper is an excellent employer, offering a dynamic work environment in the heart of London where you can thrive as a Front of House Coordinator. With a strong commitment to high-quality service and inclusion, employees benefit from a supportive culture that encourages professional growth and development. Join our team to be part of a collaborative atmosphere that values your contributions and fosters meaningful client relationships.

DLA Piper

Contact Details:

DLA Piper Recruitment Team

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

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