Senior ML Engineer – AI Safety
Job Description
We are looking for an experienced, proactive Senior ML Engineer to join Experian’s AI Safety team. You will lead the design, implementation, and governance of safety-critical GenAI systems across the business, partnering with senior engineers, security, risk, compliance, legal, and product stakeholders to ensure AI systems are robust, explainable, fair, auditable, and aligned with regulatory and ethical standards. As a senior contributor, you will mentor engineers, shape technical strategy, and help drive adoption of AI safety best practices across the organisation.
Key responsibilities
• Lead the design and implementation of Responsible AI frameworks, governance policies, and safety guardrails for GenAI systems.
• Define and own AI safety evaluation pipelines, including red-teaming, adversarial robustness testing, jailbreak and prompt injection assessments, and automated safety benchmarks.
• Develop explainability and interpretability tooling to support model audits, regulatory reviews, and clear communication of model behaviour and limitations.
• Partner with risk, compliance, legal, privacy, security, product, and engineering teams to embed safety requirements into scalable GenAI solutions.
• Lead incident response and root cause analysis for AI-related safety issues, including post-incident reviews and remediation playbooks.
• Contribute to GenAI-powered solutions in fraud detection, credit risk, customer service automation, and platform initiatives while ensuring alignment with AI risk appetite.
• Mentor junior and mid-level engineers and represent AI Safety in cross-functional forums.
Requirements
Department: Technology
Function: Information Technology
Experience Level: Not Applicable