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Machine Learning Engineer

2 months ago


London, Greater London, United Kingdom Generative Full time

Founding Machine Learning Engineer

 

Generative is a pioneering startup at the forefront of revolutionizing the financial services industry. Our mission is to redefine the FinTech landscape by harnessing cutting-edge technology to create innovative solutions that empower individuals and businesses alike.

 

As a Founding Machine Learning Engineer, you will play a pivotal role in shaping the future of our product. Your expertise will be instrumental in designing and implementing state-of-the-art machine learning models that solve complex problems and deliver exceptional value to our users.

 

Key Responsibilities:

  • Lead the design, development, and deployment of machine learning models, with a focus on financial applications.
  • Collaborate closely with the founding team to define the product vision and strategy, ensuring alignment with our long-term goals.
  • Utilize your experience in Large Language Models (LLMs) to develop advanced NLP solutions that enhance user experience and product capabilities.
  • Conduct data analysis, feature engineering, and model validation to ensure accuracy, efficiency, and scalability.
  • Contribute to the overall architecture and infrastructure decisions, ensuring seamless integration of machine learning components.

 

Requirements:

  • 5+ years of experience in machine learning, with a strong background in FinTech or financial services.
  • Proven expertise in developing and deploying machine learning models, particularly in financial contexts.
  • In-depth experience with Large Language Models (LLMs) and NLP techniques.
  • Proficient in Python, TensorFlow, PyTorch, or similar frameworks.
  • Strong understanding of data structures, algorithms, and statistical methods.
  • Experience with cloud platforms and MLOps practices.

 

What We Offer:

  • Competitive salary and equity options, with significant growth potential.
  • Flexible working arrangements and a dynamic work environment.