Applied AI & ML Lead - Markets Operations
On-site · London, England, United Kingdom
Job Summary
Lead a team of AI/ML scientists and engineers to design, implement, and scale AI/ML solutions for Market Operations; set technical vision and strategy for AI/ML initiatives; oversee architecture and deployment of generative AI applications; mentor and manage a team; ensure production-grade AI/ML tools; collaborate with stakeholders to gather requirements; maintain best practices for monitoring, evaluation, and knowledge sharing; stay current with AI/ML advancements and apply relevant techniques to business problems; represent the team in cross-functional forums and communicate technical concepts to senior stakeholders.
Required Qualifications
- BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience)
- Leadership experience in AI/ML, including leading teams and projects from conception to production
- Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
- Experience working with large, complex datasets and applying statistical analysis
- Hands-on experience training, deploying, and maintaining machine learning models in production environments
- Proficiency in Python and relevant AI/ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)
- Experience with MLOps practices and tools for managing the machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps
- Exposure to cloud platforms (e.g. AWS, GCP, Azure)
- Problem-solving skills and ability to work independently and as a leader within cross-functional teams
- Excellent communication skills, with the ability to present technical concepts to senior business stakeholders and non-technical audiences
Desired Qualifications
- PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
- Experience in financial services, banking, or Market Operations environments
- Experience leading AI/ML initiatives in a regulated industry
- Leadership experience in AI/ML, including leading teams and projects from conception to production
- Experience with MLOps practices and tools for managing the machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps
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