AI Research Engineer – London (Onsite, Full-time) Competitive Salary Bonus High-Performance Environment | Applied AI | Human Machine Innovation We’re working with a high-performing global investment firm that’s building out its internal AI platform — applying cutting-edge large-language-model (LLM) technologies to real-world research and data challenges. They’re now looking for an AI Research Engineer who can turn emerging AI ideas into working products. This is a hands-on, fast-paced role suited to someone who codes with intent, prototypes quickly, and loves exploring what’s next in the AI ecosystem. What You’ll Do Design, build, and maintain AI research infrastructure – custom LLM pipelines and tools. Optimise LLM serving and inference for latency, reliability, and cost-to-intelligence. Prototype new approaches using Claude Code, Cursor, Windsurf, Copilot, or similar tools. Work directly with data and research teams to deploy models into production. Help shape the firm’s Human Machine strategy, blending AI and human insight to drive performance. What We’re Looking For Strong Python skills and solid understanding of data manipulation. Experience experimenting with or building on AI coding assistants / LLM tooling. Portfolio of personal, academic, or open-source projects that demonstrate creativity and curiosity. A degree in Computer Science, Engineering, or a related field. High-performance mindset: proactive, organised, and eager to learn fast. Excellent communication skills and the confidence to collaborate with technical and non-technical stakeholders alike. Why Join Be part of a small, elite team shaping next-generation AI systems from the ground up. Operate in a high-performance culture where innovation and ownership are expected. Work directly with decision-makers — your ideas will be heard and implemented. Competitive base salary significant discretionary bonus. Central London office, collaborative and entrepreneurial environment.