Senior ML Engineer – AI Safety

We are looking for an experienced proactive Senior ML Engineer to join Experians 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. 

Qualifications :

Required qualifications 

• Experience in machine learning data science or software engineering including focused on AI safety alignment Responsible AI or model governance. 

• Strong Python skills and proficiency with ML frameworks such as TensorFlow PyTorch scikit-learn or equivalent tooling. 

• Hands-on MLOps experience including MLflow Kubeflow CI/CD for ML model monitoring versioning and reproducible deployment practices. 

• Demonstrated knowledge of AI safety techniques including red-teaming adversarial testing fairness metrics interpretability methods and alignment approaches. 

• Strong understanding of AI governance model risk management and regulatory expectations in financial services with practical experience preparing documentation for audit or regulatory review preferred. 

• Excellent written and verbal English skills with the ability to translate complex safety concepts for non-technical audiences. 

• Advanced English proficiency with daily interaction with global teams.

Nice-to-have 

• Experience designing or running automated benchmark suites for LLMs or other GenAI systems. 

• Familiarity with bias detection harm classification content safety tooling or policy evaluation frameworks. 

• Experience with regulated financial services use cases such as fraud detection credit risk customer service automation or model risk management. 

• Experience influencing engineering standards or mentoring engineers in AI safety Responsible AI or production ML practices. 

Additional Information :

At Serasa Experian we believe that diversity is essential for a healthier and more innovative work environment where everyone can share experiences and express their ideas. Thats why we promote several initiatives to support inclusive recruitment and the professional development of our people.

We also have our affinity groups created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN community) Ubuntu (racial equity) Women in Experian (gender equity) Aspire (people with disabilities) and Connecting Generations (generations).

Come be part of this transformation!

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Remote Work :

Yes

Employment Type :

Full-time