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AI/ML Engineer

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London, United Kingdom Aurum Search Limited Full time

We are a leading multi-strategy systematic hedge fund based in London, focused on leveraging cutting-edge technology to drive our trading strategies. Our team is composed of world-class quantitative researchers, data scientists, and technologists, all working together to create innovative trading models and strategies. We are looking for an experienced AI/ML Engineer to join our team and execute on AI initiatives with a heavy emphasis on automation and data.


As an AI/ML Engineer, you will be at the forefront of driving our AI initiatives, playing a crucial role in developing and implementing advanced machine learning models, automating processes, and extracting value from large datasets. You will work closely with quantitative researchers, data engineers, and traders to optimize and deploy AI-driven solutions across various trading strategies. Your expertise will be instrumental in shaping the future of our technology-driven trading approaches.


Key Responsibilities:

  • AI/ML Model Development: Design, develop, and implement machine learning models to support and enhance trading strategies. This includes predictive modelling, classification, clustering, and anomaly detection.
  • Automation: Lead efforts to automate data processing, model training, backtesting, and deployment pipelines. Identify opportunities to increase efficiency and reduce manual intervention in trading operations.
  • Data Management: Work with large-scale, complex datasets, developing data pipelines to ensure the availability and accuracy of data for model training and real-time trading.
  • Collaboration: Collaborate with cross-functional teams, including quantitative researchers, data scientists, data engineers, and traders, to integrate AI-driven solutions into existing strategies.
  • Optimization: Continuously optimize AI/ML models for performance, scalability, and accuracy, leveraging the latest techniques in deep learning, reinforcement learning, and other relevant areas.
  • Research: Stay updated with the latest advancements in AI/ML and quantitative finance, and apply this knowledge to innovate and refine our trading models.
  • Deployment: Work closely with the engineering team to deploy AI models into production, ensuring robustness, reliability, and low-latency execution.


Qualifications:

  • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Experience:
  • 3+ years of experience in AI/ML engineering, preferably within the finance or hedge fund industry.
  • Proven experience in developing and deploying machine learning models in a production environment.
  • Experience with automation in data processing and model deployment pipelines.