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Industry: Quantitative Finance / Machine LearningExperience: Strong technical background in ML engineeringEmployment Terms: Full-timeCompensation: Very CompetitiveThe Role Machine Learning EngineerA leading global trading and research firm is hiring a Machine Learning Engineer to join its growing ML function. This team plays a central role in designing and scaling a world-class machine learning platform that supports a variety of trading and research functions.This is a highly technical role focused on building robust ML systems, improving feedback loops, and choosing the right tools for complex modelling challenges. The environment is fast-paced and experimentation-friendly, with a close integration between trading, research, and engineering.Responsibilities And Priorities:Build and maintain high-performance infrastructure for model training and inferenceEnhance research workflows to improve experimentation speed and reliabilitySelect and apply appropriate modelling approaches (neural nets, random forests, gradient boosting, etc.)Contribute to the design of tools and APIs that enable fast and reproducible researchCollaborate closely with trading and research teams to align ML development with business needsRequirements:Proven experience taking ML models from concept to productionStrong mathematical background in optimisation, linear algebra, and regularisation techniquesExperience maintaining organised, reproducible ML research codebasesPassion for staying current with the ML research landscapeA curious and critical mindset, comfortable asking hard questions and challenging assumptionsFluency in EnglishThe Profile Your ExpertiseWere looking for individuals who combine deep ML engineering experience with strong analytical thinking and a passion for solving tough problems. Whether you come from tech, academia, or another applied field, youll thrive in a collaborative environment that values curiosity, precision, and innovation.Experience, Ability And Knowledge:A deep interest in both the theoretical and practical sides of modellingA self-driven approach with attention to code quality and experimentation designWillingness to engage across disciplines to bring ideas to lifeWho You Are, What We Need:Based in or willing to relocate to LondonComfortable in an office-first cultureAble to communicate ideas clearly across technical and non-technical teamsEager to work in an intellectually open, low-ego teamThe PackageIn-office role with a collaborative cultureChance to work on high-impact projects with real-world trading applicationsOpportunity to push the limits of applied ML in a unique environmentSeniority level

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