Machine Learning Engineer in Financial Services

New Yesterday

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, create 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 realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. Our corporate headquarters are in Dublin, Ireland. The Generative AI Centre of Expertise (GenAI CoE) at Experian exists to improve our products, our internal processes and our day-to-day work through GenAI and process automation. The team is a mix of ML engineers, data scientists and product owners, who are dedicated to the next wave of innovation using GenAI.
Who is a ML Engineer?
In the GenAI CoE, ML Engineers drive the delivery of concepts and proven ideas into products and services that Experian can take to their customers, whether that be businesses or direct to consumers. To do this, we build upon the outcomes of our experiments to meet the product requirements - considering performance, maintainability, and scalability. We, alongside the data scientists in the team, collaborate with a range of stakeholders.
Partner with teams across the organisation to design and build GenAI solutionsfrom early experimentation to full-scale productionpotentially 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 Experians products with GenAI and ML.
Spend 10% of your work time on continuous learning and sharing expertise on generative-AI technologies.
Have experience in Python.
It would be fantastic if you also 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).
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.
Familiarity with various machine learning frameworks and toolkits (e.g., Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs).
Greater familiarity with AWS compared to other cloud computing platforms.
Have experience in Python
DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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Location:
Hanwell, Greater London
Job Type:
FullTime