Fraud AI Engineer: Neo4J Lead & High-Impact

Acorn Group; Liverpool; Hybrid; GBP 27,000 - 45,000; Full time

Benefits offered by this job

35 days holiday

Mental health support

Career development

Early salary access

Hybrid working

Recognition & events

Job summary

Acorn Insurance, based in Liverpool, is hiring an AI Engineer for its Fraud AI Team. This hands-on role puts you in charge of the Neo4J-based fraud detection solution, with a backlog of detection workflows and investigator tooling.

You'll work in a small, focused team within a regulated environment, ensuring auditable outputs, model governance, and strong collaboration with Fraud Ops. Hybrid working, 37.5 hours, and clear impact on detection rates and customer outcomes.

Qualifications

• Solid engineering background with production experience shipping software or AI/ML-backed systems.
• Strong working knowledge of graph databases - Neo4J specifically, or comparable (TigerGraph, Amazon Neptune). Cypher fluency is a real plus.
• Databricks experience is a strong plus - it underpins our wider data platform and Fraud AI work increasingly touches it.
• Comfort with Python, REST / webhook integration, JSON, and at least one workflow / orchestration tool (n8n preferred given our stack).
• Working comfort with YAML - it shows up everywhere in configuration, CI and infrastructure-as-code.
• Working knowledge of LLM application patterns: RAG, structured extraction, evaluation, agentic workflows - enough to use them where they're the right tool.
• Domain exposure to insurance fraud, financial crime, or a comparable detection / investigation function is a strong advantage.
• Awareness of the constraints of regulated environments: auditability, defensibility, data residency, model risk - design around them, don't work against them.
• Comfort working in a small team where you own outcomes end-to-end - hands-on delivery, not just direction.
• Cloud familiarity (Azure preferred) without needing to be a platform engineer - that work sits with the Central / Group team.
• Formal AI/ML credentials are not a hard requirement. Demonstrable delivery, sound judgement and the ability to ship into a regulated environment matter more.

Responsibilities

• Take ownership of the Neo4J network graph solution for Fraud: schema, ingestion, queries, performance, evolution.
• Work through the Fraud AI backlog - detection workflows, casework support, fraud signal generation, investigator-facing tooling.
• Build and ship in n8n and AI Foundry / Requesty, integrating Neo4J outputs into investigator workflows.
• Partner with the existing Fraud AI Engineer on priorities, design and delivery; share load and context.
• Stakeholder management with Fraud ops and the Fraud SLT - translate operational concerns into deliverable work.
• Make sure outputs are auditable and defensible - documentation, logging, evaluation and human-in-the-loop where the risk profile demands it.
• Lean on the Central / Group team for platform support, observability standards and burst capacity when needed.
• Work within a regulated AI governance model: DPIAs, model documentation, observability, human-in-the-loop where appropriate.

Skills

Neo4J

Cypher

Python

REST

JSON

n8n

Azure

AI governance

Tools

Neo4J

n8n

AI Foundry

Requesty

Job description

Acorn Insurance, based in Liverpool, is hiring an AI Engineer for its Fraud AI Team. This hands-on role puts you in charge of the Neo4J-based fraud detection solution, with a backlog of detection workflows and investigator tooling.

You'll work in a small, focused team within a regulated environment, ensuring auditable outputs, model governance, and strong collaboration with Fraud Ops. Hybrid working, 37.5 hours, and clear impact on detection rates and customer outcomes.