AI Engineer E3
Role details
Job location
Tech stack
Job description
As an AI/ML Engineer within the AI Center of Excellence (CoE) team, you will be at the cutting edge of merging advanced AI techniques with the Nationwide's distinctive data assets to optimize 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 prioritizing 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 opportunity to work on the variety of projects spanning across Machine learning and Generative AI.
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 Swindon or London 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., You will be developing highly scalable classifiers and tools leveraging machine learning, time series predictive methods, and deep learning models whilst collaborating with software engineers and data engineers to deploy machine learning models and Generative AI applications into production environments using ML workflows.
You will also be responsible for creating and delivering reusable technical assets that help to accelerate the adoption and interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for AI., Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague needs to display, in every role:
- Feel what customers feel - We step into our customers' shoes, using their feedback and insights to empathise with them and to understand their needs, so that ever decision we make starts and finishes with our customers in mind
- Say it straight - We are brave in speaking out and saying what we think - we're honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand
- Push for better - We don't settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal development
- Get it done - We prioritise what will have the greatest impact, we are decisive, and we take accountability for delivering brilliant customer outcomes
You can strengthen your application by showing how our customer first behaviours resonate with you, and where you may have already demonstrated these.
Requirements
Do you have experience in Python?, * Proven knowledge of ML & AI and hands-on experience of building applications with large foundation models
- Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, autoencoders, VAE, etc.)
- Strong track record of developing high quality, production code in Python
- Experience in artificial intelligence (XAI) for ML models and metrics for assessing fairness, transparency, and interpretability in the complex AI models.
- Expert understanding of prompt engineering approaches, query retrieval strategies, and other relevant AI application components.
- Strong cloud experience with proven track record of navigating a complex technical environment and delivering robust solutions within those constraints
- Proven problem-solving skills and innovative thinking in complex scenarios
- Preferred experience in financial services and consulting
Benefits & conditions
There are all sorts of employee benefits available at Nationwide, including:
- 25 days holiday, pro rata
- From January 2026, all colleagues will have access to fully funded private medical insurance
- A personal pension - if you put in 7% of your salary, we'll top up by a further 16%
- Access to an annual performance related bonus
- Access to training to help you develop and progress your career
- A great selection of additional benefits through our salary sacrifice scheme
- Life assurance worth 8x your salary
- Wellhub - access to a range of free and paid options for health and wellness
- Up to 2 days of paid volunteering a year