Building data tooling and infrastructure for multimodal datasets at scale, including text, documents, and audio and visual data, to support robust GenAI use cases
Deploying solutions through the bank's CI/CD, security, and change-control frameworks, so systems are compliant and resilient
Monitoring and maintaining production models, tracking drift, latency, cost, and failure, and leading incident response for stability and performance
Implementing controls for model risk, data governance, and regulatory requirements, embedding these into live systems to support safe AI deployment
Producing high-quality documentation of research and development outcomes for transparency, knowledge sharing, and alignment with ethical and regulatory standards
The skills you'll need
You'll need:
A strong understanding of GenAI architectures from a systems perspective, enabling you to design robust and efficient solutions
Experience deploying and operating ML systems in cloud or regulated environments
The ability to collaborate effectively across teams, working closely with scientists, product and platform partners to deliver end‑to‑end solutions
Familiarity with vector databases, retrieval systems and embedding pipelines
Experience operating GenAI systems at scale, applying LLMOps or MLOps principles to deliver high‑performance solutions
Hours
35
Job Posting Closing Date:
12/06/2026
Ways of Working:Hybrid
Additional Information
Join us as an Applied AI Engineer
Step into a full-stack engineering role where you'll design, fine-tune, and integrate generative AI (GenAI) models into scalable, production-grade systems
You'll drive improvements across the GenAI platform and shared tooling, accelerating how the bank builds, deploys and scales AI solutions
You'll work at the forefront of GenAI engineering, applying emerging techniques to build innovative systems that push the boundaries of what's possible
Royal Bank Of Scotland · London, UK