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2 ai specialist jobs found in London

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London ai specialist £500 - £600
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Greater London  (2)
Outside Spy
Mar 17, 2026
Duration not stated
Applications Architect (Law firm experience required) at Computappoint, London, to £700 per day
£600 - £700 per day
Outside Spy London, UK
Initial 6 month contract Up to £700/day (Outside IR35) London - 2-3 days on-site per week This is a unique chance to shape the future of enterprise applications in a prestigious global law firm. you'll drive the selection, design, and delivery of COTS and SaaS solutions, ensuring seamless adoption across a distributed workforce. Work at the intersection of cutting-edge Microsoft technologies and specialist legal tools, contributing to simplification, efficiency, and innovation while supporting a diverse, high-performing team that values trust, empowerment, and global perspectives. Job Title: Applications Architect Job Type: Initial 6 month contract Rate: Up to £700/day (Outside IR35) Working Arrangement: 2-3 days on-site per week Location: Central London The Role : Act as the primary technical lead for new applications and cloud-hosted SaaS projects, providing subject matter expertise to projects, suppliers, and design governance boards. Own...
Outside Spy
Mar 19, 2026
Duration not stated
Artificial Intelligence Engineer at Cititec, London Area, £600 per day
£600 per day
Outside Spy London Area, United Kingdom
Senior AI Engineer | £600/day Outside IR35 | 6-Month Contract Industry: Technology / Capital Markets Location: London - 3 days in office Job Type: Contract Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs). You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows. Responsibilities Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks. Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling. Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability. Implement feedback loops...
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