Platform Engineer (Data Science & AI)

TL;DR

Platform Engineer (Data Science & AI): Building and evolving a robust data engineering platform to support ML workloads with an accent on security, scalability, and observability. Focus on implementing LLM gateways, CI/CD pipelines, and infrastructure-as-code to manage the end-to-end data and ML lifecycle.

Location: London, England, United Kingdom

Salary: GBP 70K-90K

What you will do

• Build and evolve the data engineering platform and shared services.
• Develop data processing components and implement infrastructure as code.
• Manage the data and ML lifecycle, including experiment tracking and versioning.
• Build LLM gateways and integrate tools for AI workloads.
• Enhance observability for data quality, pipeline reliability, and model performance.
• Collaborate with Data Science and ML teams to apply security and compliance best practices.

Requirements

• Strong experience in data engineering and platform development.
• Proficiency with Azure cloud services, including Databricks and Data Lake.
• Expertise in infrastructure as code (Terraform) and CI/CD pipelines.
• Experience with container orchestration using Kubernetes and Docker.
• Solid understanding of network security, RBAC, and access control for data workloads.
• Ability to maintain platform standards and documentation.

Culture & Benefits

• Private medical care.
• Personalised learning and development opportunities.
• Paid annual leave.
• Employee discount and sample sales programs.