E3 Engineer - Data and AI Engineering

Description This; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Nationwide is seeking an AI/ML Engineer within the AI Centre of Excellence to blend advanced AI techniques with our data assets, aiming to optimise business decisions and automate processes in financial services.

You will contribute to NLP and statistical ML work, create reusable libraries and services, and combine research with software engineering to drive a growing portfolio of AI-powered tools. The role supports hybrid working, with office time in London or Swindon.

Job description

As an AI/ML Engineer within the AI Centre of Excellence (CoE) team, you will be at the cutting edge of merging advanced AI techniques with Nationwide’s distinctive data assets to optimise business decisions and automate processes. This role offers the chance to expand the frontiers of AI applications in financial services by leveraging the latest innovations in Natural Language Processing and statistical machine learning.

You will be instrumental in creating products that enhance efficiency, aid experts in prioritising tasks and improve decision-making. Our growing suite of AI-powered products and services presents substantial opportunities for the reuse of foundational components through thoughtfully designed libraries and services that can be applied team-wide. This position uniquely blends scientific research with software engineering, requiring a comprehensive understanding of both domains. You will have the opportunity to work on a variety of projects spanning across Machine learning and Generative AI.

We are happy to consider flexible working approaches to help you perform at your best.

At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.

For this job you'll spend at least two days per week, or if part time you'll spend 40% of your working time, based at either our London or Swindon office.

If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here.