Python / Data Engineer - AI / ML

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Python / Data Engineer - AI / ML
Ref: BBBH11340
  • Location
    Leeds
  • Salary
    £60000.00 - £80000.00 per annum
  • Type
    permanent
Job Description
  • Role: Python / Data Engineer - AI/ML
    Location: Leeds / Hybrid (Work to your week)
    Salary: £60,000 - £80,000 benefits

    Why Apply?

    Are you a skilled Python / Data Engineer with a strong grasp of AI and machine learning, ready to make an impact in a greenfield build of a new platform? This is a unique opportunity to contribute to a cutting-edge build of a platform to use historic data to predict future pricing using advanced AI tooling. Your work will directly influence leadership decisions in this innovative initiative.

    Python / Data Engineer Responsibilities

    • AI Pricing Development: Build a large language model (LLM) using historic data to enable predictive pricing.
    • Independent Execution: Take ownership of the end-to-end development of the platform.
    • Collaboration: Partner with a Business Analyst/Delivery Manager to shape requirements and engage with stakeholders.

    Python / Data Engineer Requirements

    Essential:

    • Strong experience in data engineering and working with AI/ML technologies. Ideally Python / Node.js.
    • Knowledge of ML algorithms: XGBoost, Random Forest etc.
    • Proficiency in building and fine-tuning large language models (LLMs).
    • Solid understanding of data extraction, preparation, and processing for predictive modeling.
    • Excellent communication skills for both technical and non-technical audiences.

    Desirable:

    • Experience with pricing models or similar predictive AI use cases.
    • Familiarity with tools and frameworks commonly used for AI/ML development (e.g., TensorFlow, PyTorch).

    We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Apply Now
Matthew Williamson
Lead Delivery Consultant
Apply Now
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