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Job Description
Location: Donkin
Elevate your career as a Machine Learning Engineer, driving innovation in AI systems. Focus on scalability, real-world applications, and collaboration with vast financial datasets.
In this role, you'll develop and deploy cutting-edge machine learning models within a prestigious analytics team. The position requires in-depth experience in data engineering, MLOps, and strong coding skills in languages like Python or R. Contributing to impactful applications, you will work alongside a world-class team in a dynamic and forward-thinking environment.
Key Responsibilities:
- Architect scalable machine learning systems for AI deployment
- Write efficient, maintainable code for ML models
- Collaborate on large-scale datasets from diverse sources
- Drive automation and operational efficiency in systems
- Engage with stakeholders to influence growth and adoption
Requirements
- Master or bachelor’s degree in relevant fields
- At least three years of experience in data science
- Proficiency in Python, R, SQL, or Scala
- Familiarity with cloud architecture, Azure knowledge a plus
- Strong communication and stakeholder management skills
Shape the future of AI in financial services through innovative problem-solving, efficient solutions, and impactful partnerships in this transformative role.
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