Head of Machine Learning and AI Engineering – Everyday Banking

JOB TITLE: Head of Machine Learning and AI Engineering – Everyday Banking
LOCATION(S): Bristol, Edinburgh or London
SALARY: Depending on location. From £124,653 for non London based colleagues. From £154,369 for London based colleagues
HOURS: Full time
WORKING PATTERN: Hybrid, 40% (or two days) in an office site

About this opportunity

We’re heavily investing in our Everyday Banking products and teams to fulfil our purpose of making finance a force for good. Our Commercial Analytics team has created a brand-new role to further our ambition of using advanced technologies to drive innovation and create new experiences for our customers.

As the Head of Machine Learning and AI Engineering, this position will lead and manage a team of talented engineers from various fields to supervise model development and deployment as a capability served across the end-to-end Data Science & Analytics lifecycle, as well as developing, running and enhancing the data and feature stores that power them.

Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're embracing collaborative, agile ways of working, to help us deliver the best outcomes for our colleagues, customers and businesses. We're growing with purpose. Join us on our journey and you will too!

In this role, you'll Lead and mentor a team of data and machine learning engineers, fostering innovation and collaboration.
Work closely with the Data Science Lead to develop and implement an AI and ML roadmap aligned with business goals and requirements.
Serve as the technical lead for Generative AI and machine learning model deployment
Advocate for standard processes in data transformation, pipeline development, model validation, testing, and performance monitoring.
Contribute to a high performing data science function through coaching and upskilling the team on writing scalable code and good software engineering practices.

About us
Join us and, as well as making a difference to customers, you’ll enjoy a fulfilling career where you’re free to be yourself. Great colleagues, transforming workspaces, hybrid working and a wide variety of career opportunities – you’ll find them all here.

What you’ll need demonstrated experience managing multi-functional teams and guiding their career development in implementing machine learning and AI solutions
proven experience engaging senior technical and non-technical stakeholders
Experience working with and scaling up enormous datasets
Knowledge of both traditional machine learning techniques, and recent advancements in AI, such as GenAI, and agentic frameworks
Have built and deployed machine learning algorithms to production within cloud environments such as AWS, GCP.

About working for us
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.

We want our people to feel that they belong and can be their best, regardless of background, identity or culture.

We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.

And it’s why we especially welcome applications from under-represented groups.

We’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15%
An annual bonus award, subject to Group performance
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies

Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more .

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