AI / ML Engineer

GCIO · Birmingham, United Kingdom · Sheffield We are seeking an AI / ML Engineer to join UK Technology. In this exciting role, you’ll help design, build and embed practical AI solutions that improve how HSBC operates and serves its customers. Working with technology, business and control stakeholders, you’ll turn emerging AI capabilities into secure, scalable and valuable products. Your work will span generative AI, large language models, agentic AI and machine learning, with a focus on developing reusable capabilities that can be deployed safely and consistently across the organisation. If you enjoy learning, experimenting and delivering practical outcomes, this role offers the opportunity to work in a rapidly evolving field while making a meaningful contribution to HSBC’s technology agenda. In this role, you will: Partner with cross-functional stakeholders to identify, define and deliver AI solutions that address priority customer, colleague and business needs Design, build, test and deploy generative and agentic AI applications, taking solutions from discovery and proof of concept through to production implementation Develop reusable capabilities for agent orchestration, workflow design, tool and function integration, memory and state management, and AI skills Apply techniques including prompt engineering, retrieval-augmented generation, search, vector databases, tool calling and multi-agent workflows Build maintainable, readable and testable software using Python or another relevant programming language Integrate AI solutions with enterprise systems and data sources while meeting requirements for security, privacy, resilience and responsible AI Define success measures and service-level objectives, implementing appropriate logging, metrics, tracing and other observability practices Evaluate and continuously improve AI solutions, balancing accuracy, reliability, latency, user experience, operational risk and cost To be successful in this role you should have the following skills: Experience developing software, data or technology solutions in a professional, academic or substantial project-based environment Practical experience with generative AI, machine learning, large language models, prompt engineering or agentic AI Working knowledge of Python, including the ability to write maintainable, readable and testable code Understanding of software development practices, including testing, version control and collaborative development using tools such as Git or GitHub The ability to explain technical concepts, recommendations and trade-offs to technical and non-technical audiences