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    Machine Learning Engineer OPS - London, United Kingdom - FactSet

    FactSet
    FactSet London, United Kingdom

    Found in: Talent UK C2 - 1 day ago

    Default job background
    Full time
    Description

    Responsibilities

    :
  • Develop and maintain machine learning pipelines to support our machine learning models.
  • Ensure the integration and maintenance of model and prompt libraries.
  • Assist in fine-tuning, testing, and deploying sophisticated machine learning models.
  • Utilize Infrastructure as Code (IaC) for managing and provisioning through the complete lifecycle of cloud resources.
  • Collaborate closely with the Data Engineering and our Artificial Intelligence and Machine Learning teams to ensure seamless adoption of traditional ML and Large Language Models into our products.
  • Develop, integrate, automate, and deploy to optimize the interaction between different system components.

    • Minimum Requirements:

  • 3+ years of software experience in object-oriented language

    • Critical Skills:

  • 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)

    • Additional Skills:

  • Experience within the Financial Services Industry or products a bonus

    • Some of the areas you will be working on:

  • Working with traditional Machine Learning Techniques and tools
  • Working on deploying MLOps and LLMOps Tools and Ecosystems such as MLFlow, AWS Sagemaker, GCP Vertex AI or comparable ML tooling across the firm
  • Managing and optimizing data pipelines related to RAG and other ML Workflows
  • 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
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