Machine Learning Engineer

Machine Learning engineer role

Role Overview

Build, optimise and operate production-grade AI and LLM-powered applications in Beazley Azure infrastructure, ensuring scalability, reliability, security, and governed releases.

Key Responsibilities

Backend Development: Develop Python FastAPI services for end-to-end AI workflows (ingestion, processing, persistence, response handling) with robust error handling and scalability. Shared Libraries: Contribute to and adopt shared utility libraries with proper versioning, backward compatibility, and clear rollout strategies. CI/CD & Testing: Manage pipelines across environments with strong testing (unit, integration) and controlled release processes. Authentication & Security: Implement Entra ID (Azure AD) authentication, JWT validation, and secure access controls. Use Managed Identity & RBAC for service-to-service communication. AI Integration: Integrate with Azure OpenAI (LLMs, embeddings) and implement retrieval patterns with resilient, rate-controlled interactions. Data & Storage: Work with PostgreSQL and Azure Blob Storage for application data, metadata, and documents. Observability: Implement monitoring (Application Insights/Azure Monitor) covering performance, errors, and key workflows. Governance & Responsible AI: Ensure secure engineering, traceability, and compliance with enterprise governance and Responsible AI standards.

Required Skills

Strong experience in Python (3.10+), FastAPI Strong experience with resource-bound async programming Experience with Docker, CI/CD pipelines, GitHub workflows Knowledge of PostgreSQL, object storage, IaC (Terraform) Hands-on with Entra ID, JWT, Managed Identity, RBAC Experience integrating Azure OpenAI / LLM-based solutions Comfortable working in enterprise, regulated environments