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Machine Learning Engineer OPS

2 months ago

London, Greater London, United Kingdom FactSet Full time
Job Title: Machine Learning Engineer OPS

FactSet is seeking a highly skilled Machine Learning Engineer OPS to join our team. As a key member of our AI and ML team, you will be responsible for developing and maintaining machine learning pipelines to support our machine learning models.

Responsibilities:
  • Design and implement scalable machine learning pipelines to support our AI and ML models.
  • Collaborate with our Data Engineering team to ensure seamless integration of traditional ML and Large Language Models into our products.
  • Develop and maintain model and prompt libraries to support our AI and ML models.
  • Assist in fine-tuning, testing, and deploying sophisticated machine learning models.
  • Utilize Infrastructure as Code (IaC) for managing and provisioning cloud resources.
  • Develop, integrate, automate, and deploy to optimize the interaction between different system components.
Requirements:
  • 3+ years of software experience in object-oriented languages.
  • Experience with Data Pipelines related to ML workflows.
  • Infrastructure-as-Code deployments.
  • Experience working with Traditional ML and tools.
  • Experience with Large Language Models (such as OpenAI GPT Models, Llama2).
Preferred Skills:
  • Experience within the Financial Services Industry or products.
  • Usage of Python in a data-intensive environment.
  • Working to deploy and automate with cloud-based IaC tools for fully automated deployments.
  • Using and leveraging REST interfaces and various API endpoints to integrate multiple tools at FactSet.
Education:
  • Bachelor's degree in computer science, engineering, mathematics, or a related field.

Why FactSet?

FactSet is a leading provider of financial data and analytics. We are committed to innovation and excellence in our products and services. As a Machine Learning Engineer OPS, you will have the opportunity to work with a talented team of engineers and data scientists to develop and deploy cutting-edge AI and ML solutions.