Senior AI Data Engineer - MLOps, Vector DBs & RAG

Publicis Groupe Holdings B.V; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading global communications agency is seeking a Senior Data Engineer for AI/ML to build data infrastructure for intelligent systems. Candidates should have extensive experience in data engineering, expertise in cloud platforms, and strong programming skills. This role involves championing data governance, collaborating with teams on ML projects, and leveraging big data technologies. The company offers a hybrid working model, and robust employee benefits, including opportunities for professional development and well-being support.

Benefits

WORK YOUR WORLD opportunity

Reflection Days

Health support helpline

Family-friendly policies

Flexible working policies

Local discounts

Qualifications

• 3+ years of experience in data engineering.
• Expert-level proficiency with cloud services (GCP preferred).
• Strong skills in Python and SQL.
• Hands-on with big data technologies.
• Understanding of ML data requirements.
• Experience with vector databases.

Responsibilities

• Design and build scalable data pipelines.
• Leverage cloud platforms for data solutions.
• Develop data flows for generative AI applications.
• Implement data governance best practices.
• Collaborate with ML Engineers and Data Scientists.

Skills

Data Engineering Experience

Cloud Platform Mastery

Programming in Python and SQL

Big Data Technologies

ML Data Acumen

Vector Database Experience

MLOps Principles

Education

Bachelor's or higher in Computer Science or related field

Tools

Apache Spark

Hugging Face

TensorFlow

PyTorch

Apache Airflow

Job description

A leading global communications agency is seeking a Senior Data Engineer for AI/ML to build data infrastructure for intelligent systems. Candidates should have extensive experience in data engineering, expertise in cloud platforms, and strong programming skills. This role involves championing data governance, collaborating with teams on ML projects, and leveraging big data technologies. The company offers a hybrid working model, and robust employee benefits, including opportunities for professional development and well-being support.