Working Pattern
Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Leeds or Edinburgh office.
About This Opportunity
The Financial Conduct Authority (FCA) has highlighted the progressive potential of AI in strengthening the UK’s investment culture, particularly in closing the advice gap and making financial mentorship more accessible. With only 31% of UK adults currently investing and the majority doing so without regulated advice, there’s a clear opportunity to support better financial outcomes. As one of the UK’s largest providers of pensions and investments, Scottish Widows is well-positioned to lead this change. Within Lloyds Banking Group, the D2C Investments Platform supports Halifax Share Dealing Ltd. and Ready‑Made propositions via Embark and FNZ, delivering investment solutions across trusted brands like Lloyds, Halifax, and Bank of Scotland. Our mission involves redefining the investment experience for our 26 million customers across the UK, harnessing the power of AI.
What you’ll be doing
- Shape the design and lead the implementation of advanced AI systems: utilising technology to deliver scalable, intelligent solutions.
- Design and build prompts to optimise AI performance within a multi‑agent framework, managing the full prompt lifecycle across the internal ecosystem.
- Apply wider AI technologies, such as RAG, where appropriate to enhance customer experience by bringing to bear LBG’s rich knowledge base.
- Collaborate with data scientists to translate model requirements into technical solutions, ensuring alignment between business needs and AI capabilities.
- Deploy and supervise AI systems in production environments, maintaining performance, reliability, and scalability.
- Fix and resolve issues related to AI systems, ensuring smooth operation and rapid recovery from technical challenges.
- Keep up to date with the latest AI technologies and standards, continuously improving systems through innovation and guidelines.
What you’ll need
- Prompt engineering expertise: designed and refined prompts to optimise multi‑agent AI systems, applying techniques like zero‑shot prompting and RAG with precision and situational awareness.
- Expert‑level Python development: built high‑performance applications, developed custom modules, and integrated Python with other systems using advanced features and libraries.
- Applied machine learning: selected appropriate models for multifaceted scenarios, diagnosed performance issues, and improved outcomes through hands‑on experience.
- Software engineering guidelines: use design patterns to build scalable, maintainable solutions and lead code reviews to ensure quality across the team.
- DevOps leadership: drove automation and continuous improvement across the development lifecycle, ensuring every build was fast, secure, and reliable.
- Google Cloud Platform proficiency: earned certifications and deployed cloud projects, with additional experience in GCP‑based AI tooling.
About working for us
Our focus is to ensure we are 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. We especially welcome applications from under‑represented groups and are disability confident.
Benefits
- 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
#J-18808-Ljbffr…