Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including pipeline optimisation.
We'll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You'll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business.
You'll also be responsible for:
Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy
Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production
Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance
Understanding and addressing any shortfalls, for instance, through retraining
Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes
The skills you'll need
To be successful in this role, you'll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. You'll also have the ability to use data to solve business problems, from hypotheses through to resolution.
You'll also need:
A good python hands o hands on experience with across traditional ML and well versed GenAI and Agentic AI applications
Responsible for conducting demos of AI tooling and would be contributing towards automation initiatives in responsible ai space things like QA regression suite and observability aspects
An understanding of synthesising, translating and visualising data and insights for key stakeholders
Knowledge and concepts around principles Responsible AI would be preferred
Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes
Good communication skills with the ability to proactively engage with a wide range of stakeholders
Hours
45
Job Posting Closing Date:
15/06/2026
Additional Information
Join us as a Machine Learning Engineer
In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms
Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders
If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development
We're offering this role at vice president level
Royal Bank Of Scotland · Bengaluru, India