Senior Machine Learning Engineer – AI Operations

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

We are looking for a Senior Machine Learning Engineer to join our AI Operations & Safety team. You will ensure the secure, compliant, and responsible deployment of generative AI (GenAI) models across financial services. Reporting into the Senior Management within the team you will lead technical projects, mentor junior engineers, and collaborate with cross-functional teams to build scalable, safe, and explainable AI systems aligned with regulatory and ethical standards.

What you’ll do:

• Contribute to the design and implementation of Responsible AI frameworks and governance policies.
• Collaborate with risk, compliance, and legal teams to ensure AI systems meet regulatory and ethical standards.
• Lead technical audits and documentation efforts related to AI safety, fairness, and transparency.
• Architect and maintain systems for model deployment, monitoring, and lifecycle management.
• Establish guardrails for model performance, explainability, and risk mitigation.
• Lead incident response and root cause analysis for AI-related issues.
• Develop scalable ML pipelines for model validation, evaluation, and monitoring.
• Lead development of GenAI-powered solutions in domains such as fraud detection, credit risk modeling, and customer service automation.
• Collaborate with product and engineering teams to integrate AI capabilities into production systems.
• Provide technical leadership across the AI Operations & Safety team.
• Mentor junior and mid-level engineers, encouraging innovation.
• Promote best practices in MLOps, model governance, and secure AI development.

What you’ll bring:

• 6–8 years of experience in machine learning, data science, or software engineering.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
• Hands-on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, and CI/CD for ML).
• Experience with AI governance, model risk management, and regulatory compliance in financial services.
• Experience leading technical projects and mentor engineering teams.
• University degree in Computer Science, Engineering, Data Science, or a related field.
• Excellent written and verbal English skills.

You will get:

• Personal Development – career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment – excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance – 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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This is a hybrid remote/in-office role.

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