AI/ML Lead

We are seeking an experienced AI/LLM Engineer to design and build intelligent, language-driven agentic  systems that translate user intent into structured execution workflows and. This role sits at the intersection of large language models, data science, and electronic trading, with a focus on building scalable, accurate, and explainable AI-powered decision systems.

• →LLM Integration & Prompt Architecture
  • →Design and own the integration between conversational AI agents and external large language model APIs
  • →Develop and continuously refine prompt architectures that translate natural language into structured system actions and parameters
  • →Build confirmation and validation flows to ensure outputs are accurate, explainable, and auditable
  • →Establish and maintain high standards for interpretation accuracy at scale
• →Intent Parsing & Natural Language Processing
  • →Build systems that reliably map user instructions into structured parameters across varied phrasing, domains, and strategies
  • →Define evaluation frameworks to measure and improve NLP performance
  • →Handle ambiguity, edge cases, and fallback scenarios while maintaining user trust
• →Intelligent Recommendation Systems
  • →Design and develop engines that proactively recommend optimized configurations or actions based on historical behavior, real-time conditions, and benchmark data
  • →Incorporate multiple data sources to generate insights that outperform manual decision-making
  • →Continuously improve recommendation quality through feedback and iteration
• →Feedback Loops & Model Improvement
  • →Build mechanisms that leverage post-action or post-trade analytics to refine system recommendations over time
  • →Enable adaptive learning based on performance outcomes across different market or operational conditions
• →Benchmarking & Data-Driven Insights
  • →Collaborate with data and quantitative teams to develop anonymized benchmarking models
  • →Define statistical methodologies for performance comparison and optimization
  • →Ensure privacy, aggregation, and data governance standards are met
  • →Translate complex analytics into actionable outputs within AI-driven systems
• →Conversational Analytics
  • →Enable natural language interaction with complex datasets
  • →Build systems that interpret user queries, retrieve relevant data, and generate accurate, synthesized insights
  • →Support use cases such as performance analysis, comparisons, and trend identification through conversational interfaces
• →Chatbot deployment management
  • →Deliver product demonstrations to clients and internal teams
  • →Manage user access provisioning and provide technical onboarding support
  • →Advise clients on prompt engineering best practices to maximise platform value
  • →Gather, document, and prioritise client feedback to inform AI chatbot enhancements, including direct resolution of issues where possible

• 5+ years of experience in applied ML or AI engineering, with at least 2 years working directly with large language models in production
• Deep hands-on experience with LLM integration — prompt engineering, tool use, structured output, evaluation frameworks, and hallucination mitigation
• Strong Python — this is the primary development language for the agent layer and the SDK
• Experience building systems that translate unstructured natural language into structured, actionable outputs in a production environment
• Comfort working in a regulated industry where every model output needs to be explainable and auditable
• Ability to own a technical workstream end-to-end — architecture decisions, implementation, and quality bar

We offer a comprehensive range of benefits to support our employees at every stage of life and career. Our programs include enhanced parental leave, family-building and postpartum support through Maven, subsidised gym membership and a wide range of learning and development opportunities, to name a few! While specific offerings may vary by location, our teams will be happy to provide more detailed information about the benefits available in your region as you move through the recruitment process.