At a Glance
- Tasks: Develop AI solutions to optimise business decisions and automate processes.
- Company: Join a leading financial services company focused on innovation and customer impact.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a personal pension plan.
- Other info: Hybrid working model with opportunities for career growth and development.
- Why this job: Be at the forefront of AI technology and make a real difference in financial services.
- Qualifications: Experience in machine learning, Python coding, and a passion for AI applications.
The predicted salary is between 36000 - 60000 € per year.
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 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 the opportunity to work on a 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 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 the implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for AI.
About you
- 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 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.
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 every 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.
The extras you'll get
- 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.
We forge our own path at Nationwide. As a mutual, we're owned by our members - those customers who bank, save or have a mortgage with us. We challenge the financial sector status quo. We don't see customers as the engine of our own profit. We share our profits with them and put their needs first. Always there when they need us. Supporting them and their lives.
If you're inspired by fairer finances, passionate about making a meaningful impact, and truly care about our customers, you're one of us. At Nationwide, you are challenged to grow and rewarded for doing so. Valued. Recognised. Inspired to be your best. As a community we want our working lives to count. As a team, we celebrate what we achieve. As a standard-setter, we work for the good of customers, communities, and broader society.
We are purpose-driven. Uncompromisingly customer. Unstoppably Nationwide.
What to do next
If this role is for you, please click the 'Apply Now' button. You'll need to attach your up-to-date CV and answer a few quick questions for us. We respond to everyone, so we will be in contact shortly after the closing date to let you know the outcome of your application.
Life at Nationwide
Some of the things that matter most to us: Delivering fairer finances and having a positive impact on customers' lives. Being truly inclusive. Rewarding high performance.
AI Engineer E3 in City of London employer: Nationwide
At Nationwide, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model allows for flexibility while ensuring meaningful connections among colleagues, and our commitment to employee growth is evident through extensive training opportunities and a supportive environment. With competitive benefits, including generous holiday allowances and a strong pension scheme, we empower our team to thrive both personally and professionally in our Swindon and London offices.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer E3 in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining complex concepts in simple terms, as this shows you can communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Nationwide.
We think you need these skills to ace AI Engineer E3 in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning, Python, and any relevant projects that showcase your skills. We want to see how you fit into our vision!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love innovative thinkers who can push for better solutions, so don’t hold back on sharing your successes!
Emphasise Customer-Centric Behaviours:Remember to reflect our customer-first behaviours in your application. Share instances where you’ve stepped into a customer's shoes or made decisions based on their needs. It’s all about making a meaningful impact!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we respond to everyone, so you won’t be left hanging!
How to prepare for a job interview at Nationwide
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning and AI principles. Be ready to discuss your hands-on experience with large foundation models and deep learning architectures like transformers and autoencoders. This is your chance to show how well you understand the technical aspects of the role!
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your innovative thinking in complex scenarios. Think about times when you've tackled difficult problems, especially in financial services or consulting. This will demonstrate your ability to push for better solutions and get things done effectively.
✨Emphasise Customer First Behaviours
Nationwide values a customer-first approach, so be ready to share experiences where you've put customers at the heart of your work. Discuss how you've empathised with their needs and how that influenced your decisions. This will resonate well with the interviewers.
✨Practice Your Communication Skills
Since you'll be interacting with customers and delivering sessions, practice explaining complex AI concepts in simple terms. Being able to communicate clearly and directly is key, so think about how you can make your explanations accessible and engaging.
