Machine Learning Engineer - GenAI

The Generative AI Centre of Expertise (GenAI CoE) at Experian exists to improve our products, internal processes and day-to-day work through GenAI and process automation. The team combines ML engineers, data scientists and product owners, dedicated to the next wave of innovation using GenAI. In the GenAI CoE, ML Engineers drive the delivery of concepts and proven ideas into products and services that Experian can take to customers, meeting product requirements with a focus on performance, maintainability and scalability. You will:

• Partner with teams across the organisation to design and build GenAI solutions—from early experimentation to full-scale production—potentially including DevOps work where needed.
• Architect and build high-performant solutions, which may involve traditional ML modelling and/or large datasets, as well as GenAI.
• Discover and introduce new technologies to the team, staying up to date with the latest approaches that enable the next generation of Experian\'s products with GenAI and ML.
• Learn quickly and be able to put new GenAI concepts into practice.
• Spend 10% of your work time on continuous learning and sharing expertise on generative-AI technologies.

• Have experience in Python.
• Are a self-starter with strong troubleshooting skills.
• Have a degree or equivalent qualification in a STEM subject (fantastic to have).
• Are familiar with Unix environments.
• Exposure to at least one other programming language besides Python.
• Proficiency in object-oriented programming (OOP), SOLID principles, and test-driven development (TDD).
• Proficiency with Docker and experience working with container orchestration tools such as Kubernetes, Docker Swarm, or cloud-based alternatives.
• Comfort working across the full development stack, especially for prototyping.
• Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle.
• Conceptual understanding of common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures.
• Detail-oriented, pragmatic, and collaborative team player.
• Experience as a lead developer tackling complex problems at scale.
• Experience mentoring junior engineers.
• Familiarity with various machine learning frameworks and toolkits (e.g., scikit-learn, XGBoost, TensorFlow).
• Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs).
• Experience with cloud computing platforms, with greater familiarity on AWS.
• Experience developing REST APIs.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets and invest in people and new technologies to unlock the power of data. As a FTSE 100 company listed on the London Stock Exchange, we have a large, diverse team across multiple countries. Experian is an Equal Opportunity and Affirmative Action employer. We value DEI, work/life balance, development, collaboration, wellness, reward & recognition, volunteering, and more. If you require accommodation for a disability or special need, please let us know at the earliest opportunity.