Remote ML Architect: Azure AI & RAG Pipelines

Madfish; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading AI technology company in the United Kingdom is seeking an experienced ML Architect specializing in Azure AI. You will design and implement the machine learning architecture for a corporate AI Assistant, influencing technical decisions and collaborating closely with DevOps and Data Engineering teams. Candidates should have 3+ years of relevant experience and a strong background in Microsoft Azure technologies. The position allows for remote or hybrid work, providing a flexible schedule as part of an impactful project.

Benefits

Flexible schedule

Remote or hybrid work format

Opportunity to influence technical decisions

Supportive team environment

Qualifications

• 3+ years of experience in Machine Learning / AI / Data Engineering.
• Strong background with Microsoft Azure ML, Cognitive Search, Databricks, OpenAI.
• Proficiency in programming languages such as Python and FastAPI.
• Hands-on experience with vector databases like FAISS, Pinecone, pgvector.
• Experience with MLOps/CI-CD for ML models in production.

Responsibilities

• Design and implement AI architecture on Microsoft Azure.
• Build and manage RAG pipelines and vector search systems.
• Develop and optimize ML pipelines for embeddings and model evaluation.
• Collaborate with DevOps and Data Engineer teams for seamless integration.
• Define and track AI performance metrics.

Skills

Machine Learning / AI / Data Engineering

Microsoft Azure ML

Python

FastAPI

MLOps

Tools

Azure Cognitive Search

Databricks

MLflow

Airflow

FAISS

Job description

A leading AI technology company in the United Kingdom is seeking an experienced ML Architect specializing in Azure AI. You will design and implement the machine learning architecture for a corporate AI Assistant, influencing technical decisions and collaborating closely with DevOps and Data Engineering teams. Candidates should have 3+ years of relevant experience and a strong background in Microsoft Azure technologies. The position allows for remote or hybrid work, providing a flexible schedule as part of an impactful project.