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2 senior software engineer jobs found in London

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London senior software engineer £700 and up
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Greater London  (2)
Outside Spy
Apr 29, 2026
Duration not stated
Senior Java Software Engineer at Quant Capital, London Area, £1100 per day
£1,100 per day
Outside Spy London Area, United Kingdom
Senior Java Engineer – Hedge Fund Contract Outside IR35 £1100 PD 2 month contract Hybrid Quant Capital is urgently looking for a Senior Java Engineer to join our high profile client. Our client is a well known Systematic Trading Hedge Fund. They like technology especially the opensource variety as well as scalability and robust performance (much like their track record). They currently run around £2 billion in liquid capital. The business has expanded continuously and is building a new risk engine for their systematic fund clients. This role will be working with a large distributed system (Built in Java) automating a large volume of realtime data into a portfolio management system. I am looking for a proficient developer with good data knowledge and an understanding of latency. I am looking for an engineer with strong core Java knowledge who is happy to learn risk. You should be happy to expand a data platform from scratch with some serious help on the...
Outside Spy
Apr 21, 2026
Duration not stated
Artificial Intelligence Engineer at Cititec, London Area, £700 per day
£700 per day
Outside Spy London Area, United Kingdom
Senior AI Engineer | £700/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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