About this role
Salary: £65,000 - 105,000 per year
Requirements: Bachelors degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM disciplineProven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environmentsStrong software engineering expertise in Python, including backend development, API design, and distributed systemsSolid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architecturesExcellent communication, stakeholder management, and problem-solving skills within agile delivery environments Responsibilities: Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and videoDesign and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrationsFine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performanceBuild scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deploymentsCollaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments Technologies: AIAPIArchitectBackendCI/CDCloudSupportMLOpsPythonRAGAWSAzureGCP More:
We are Capco, a technology and engineering consulting business helping leading financial services clients shape, build, and deliver future-ready generative AI systems. This is a permanent Senior AI Engineer role based in London in a hybrid working model within our Technology Delivery team. We offer a collaborative, flat, and entrepreneurial culture, continuous learning and training support, and a people-first benefits package that includes bonus, pension, health and life insurance, family-friendly leave, mental health support, flexible holiday options, and a range of additional perks. We are committed to inclusion, accessibility, and our #BeYourselfAtWork culture, encouraging individuality and collaboration across our teams and client work.
last updated 36 week of 2026