Senior Associate, ML/AI Engineer – Graph, Vector & Data Platform

🕒 December 18, 2025

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Design and implement graph data models and entity networks using Neo4j. • Develop and optimize Cypher queries for relationship and network analysis. • Build and maintain vector databases using Postgres (pgvector), Milvus, or Weaviate. • Implement embedding ingestion pipelines for similarity and semantic search use cases. • Design and manage data repositories / lakehouse layers using Apache Iceberg. • Develop data ingestion and transformation pipelines from multiple source system. • Deploy and operate databases and data platforms on Nutanix infrastructure. • Ensure performance tuning, scalability, availability, and fault tolerance. • Implement data quality checks, monitoring, and error handling. • Collaborate with AI/ML, analytics, and application teams. • Document data models, architectures, and operational procedures.

🎯 Requirements

• Bachelor's degree in computer science, Information Systems, or related field. • Minimally 4 years of hands-on experience in Data Engineering. • Strong hands-on experience with Neo4j (Graph DB). • Proven experience in entity network analysis and relationship-based modeling. • Hands-on experience with vector databases: Postgres (pgvector), Milvus, and/or Weaviate. • Strong SQL skills and experience with complex data transformations. • Experience designing data lakes / lakehouse architectures. • Hands-on experience with Apache Iceberg or similar table formats. • Experience operating data platforms on Nutanix or comparable on-prem / hybrid infrastructure. • Solid understanding of distributed systems and data storage concepts. • Ideally, you’ll also have Python or Java for data processing and integration. • Experience with Spark, Kafka, or Flink. • Experience with LLM / AI pipelines and embedding generation. • Knowledge of Elasticsearch or hybrid search architectures. • Experience with data governance, security, and access control. • Exposure to DevOps / CI-CD for data platforms.

🏖️ Benefits

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. • Diverse and inclusive culture : You’ll be embraced for who you are and empowered to use your voice to help others find theirs.