E3 Engineer - Data and AI Engineering

Posted 11 Days Ago
2 Locations
In-Office
Entry level
Fintech • Software • Financial Services
The Role
Develop scalable machine learning classifiers, predictive models, deep learning systems, and Generative AI applications for production. Build reusable AI assets, libraries, and services; collaborate with software and data engineers; apply prompt engineering, retrieval strategies, and ML workflows; and advise customers on AI adoption. The role also requires expertise in statistics, model fairness, interpretability, cloud environments, and production Python development.
Summary Generated by Built In

 

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.

 

If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

Responsibilities

 

What you’ll be doing

 

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 interaction with customers directly. This will allow them to understand the problem, aid them in the implementation of AI solutions and deliver briefings to customers in order to guide them on adoption patterns and paths for AI.
 

About you

 

The minimum requirements for this role are:

  • Experience in delivering either production ready AI application or Research and development of Gen AI and/or ML
  • Proven knowledge of ML & AI and hands-on experience of building applications with large foundation models
  • Solid understanding of fundamentals of statistics, optimisation and ML theory. as well as familiarity with popular deep learning architectures (transformers, autoencoders, VAE, etc.)
  • A 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
  • An understanding of cloud technical environments such as Azure or AWS
  • Proven problem-solving skills and innovative thinking in complex scenarios

 

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.

Qualifications

The extras you’ll get

 

There are all sorts of employee benefits available at Nationwide, including:

 

  • 25 days holiday, pro rata

  • Private medical insurance

  • A highly competitive pension to help you build a strong foundation for retirement

  • Access to an annual performance-related bonus

  • Training and development to help you progress your career

  • A great selection of additional benefits through our salary sacrifice scheme

  • Life assurance to provide peace of mind for you and your loved ones in the event of your death

  • Wellhub – access to a range of free and paid options for health and wellness

  • Up to 2 days of paid volunteering a year

  

 

Banking – but fairer, more rewarding, and for the good of society

 

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.

 

Keeping your data and personal information confidential is important to us. To find out more about how we use and process your data, please read our Privacy policy.

 

If you want to find out more about using AI in our recruitment process, please read more here.

 

 

Disability Confident 

 

We’re not just guided by data, we’re driven by the real experiences of our people. We’re a Disability Confident Level 3 Leader, the highest level. 

 

That’s why we’re constantly evolving our policies and practices to make sure everyone feels genuinely supported, valued, and empowered to champion inclusion. Whatever your needs, we’re here to support you. If you need any additional support throughout your application journey, email our team at Recruitment Support. 

 

 

Apply safely with Nationwide

 

Recruitment scams can look convincing, so take a moment to check the role is listed on our official careers site and read our guidance on Don’t be conned by a job scam.

 

Please note that should you be successful in securing this role, the job title on our internal systems will be EN03 - Engineer E3.

Skills Required

  • Experience delivering production-ready AI applications or conducting research and development in Generative AI or machine learning
  • Proven knowledge of machine learning and artificial intelligence, including hands-on experience building applications with large foundation models
  • Strong understanding of statistics, optimisation, and machine learning theory
  • Familiarity with deep learning architectures including transformers, autoencoders, and variational autoencoders
  • Strong track record developing high-quality production code in Python
  • Experience with explainable AI and metrics for fairness, transparency, and interpretability
  • Expert understanding of prompt engineering, query retrieval strategies, and related AI application components
  • Understanding of cloud technical environments such as Azure or AWS
  • Proven problem-solving skills and innovative thinking in complex scenarios

Nationwide Building Society Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nationwide Building Society and has not been reviewed or approved by Nationwide Building Society.

  • Healthcare Strength — Private medical insurance is provided to all colleagues, supplemented by broader wellbeing support and external recognition for mental‑health practice. This creates strong healthcare coverage as a core part of the package.
  • Retirement Support — A Group Personal Pension for new starters, with established legacy schemes and life assurance, signals robust retirement provision. The pension framework is presented as competitive within UK financial services.
  • Leave & Time Off Breadth — Annual leave of around 25–30 days (role/tenure dependent) plus buy/sell options provides generous time‑off flexibility. Family leave and wider flexible‑benefits choices further support time away when needed.

Nationwide Building Society Insights

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The Company
HQ: Swindon
12,313 Employees
Year Founded: 1846

What We Do

A good way to bank.

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