(Senior) Machine Learning Engineer
1 week ago
Job Title : Founding Machine Learning Engineer Location : London, UK
Join a visionary startup at the forefront of transforming the financial services industry. We're on a mission to redefine the landscape of FinTech by leveraging cutting-edge technology to build innovative solutions that empower individuals and businesses alike. As we embark on this journey, we're seeking a talented and experienced Founding Machine Learning Engineer to be a cornerstone of our team.
As a Founding Machine Learning Engineer, you will play a pivotal role in shaping the future of our product. You'll bring your extensive experience in FinTech or financial services to design and implement state-of-the-art machine learning models that solve complex problems and deliver exceptional value to our users. Your expertise in Large Language Models (LLMs) will be critical in driving our AI initiatives and ensuring our solutions are both innovative and reliable.
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.
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 (AWS, Google Cloud, Azure) and MLOps practices.
~ Competitive salary and equity options, with significant growth potential.
Flexible working arrangements and a central London location.
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