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Our client, a leading multi-strategy hedge fund managing over $20 billion of AUM, is seeking a Senior ML Engineer to join their high-performing Applied AI team, driving a new era of intelligent systems that underpin the organisations most critical decision-making. You will be developing production-grade AI systems that empower portfolio managers, analysts, and researchers with intelligent, data-driven capabilities to design scalable systems that integrate cutting-edge AI models, including LLMs and leveraging expertise in Knowledge Graphs and Graph Databases (Neo4j preferred). Responsibilities: Design and build intelligent data retrieval systems that power AI-driven investment tools.Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products.Work with frontend engineers to integrate backend systems into user-facing applications.Lead architectural decisions and contribute to the evolution of AI infrastructure.Participate in the full software development lifecycle, from design through deployment and support.Mentor junior engineers and contribute to a culture of technical excellence.Support critical infrastructure through on-call rotations and incident response. Requirements: 10+ years of professional software engineering experience, with 4+ years focused on ML systemsMust have expertise in Knowledge Graphs and Graph Databases (Neo4j preferred)Advanced proficiency in Python, including ML libraries (e.g., PyTorch, scikit-learn)Strong experience with distributed systems, data engineering, and API developmentProficiency in both SQL and NoSQL databasesFamiliarity with Docker, Kubernetes, and CI/CD pipelinesExperience integrating LLMs and RAG systems into production environmentsFamiliarity with OpenAI, Anthropic Claude, or similar AI platforms