Machine Learning Engineer - London, United Kingdom - Harnham

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    Description

    Job Description

    Machine Learning Engineer (NLP & LLM)

    Up to £90,000

    LONDON

    Ready to elevate your career to new heights? Join a team of experienced Data Scientists and Data Engineers to create impactful LLM's models and work with cutting-edge NLP technologies.

    The Role:

    Work end-to-end from the R&D to the deployment of NLP/LLM's

    Your day-to-day responsibilities will include:

    • You will be responsible for designing, implementing, and maintaining Machine Learning Models to address business requirements.
    • You will actively engage with software throughout the entire development lifecycle.
    • You will conduct experiments with various models, assess their performance, and make informed solution selections.
    • Conduct comprehensive work spanning the entire data lifecycle, including data exploration, data pipeline development, insights and feature extraction, machine learning model creation, and deployment.
    • Collaborate on consulting-style pilot projects aimed at helping clients gain a deep understanding of their data and identifying problems that can be addressed through the platform.
    • Collaborate closely with data scientists and data engineers to construct and implement machine learning models.
    • Take an active role in leading team meetings and client workshops.
    • Assist in establishing software engineering standards for the machine learning engineering team and provide support across various disciplines under the guidance of leadership.

    Your Skills and Experience:

    • MSc or PhD level education in STEM subjects.
    • Proven expertise in implementing Machine Learning and NLP models using Bert, Roberta, GPT4, etc. and NLP Open-Source Libraries.
    • Strong commercial experience with Python and NLP tooling,
    • Previous commercial exposure to LLM, GPT4, AWS, SageMaker
    • Excellent communication skills and ability to engage with teams and colleagues.

    Benefits:

    • Competitive salary up to £95 000
    • Outstanding career progression opportunities.
    • Flexible working arrangements.

    How to Apply:

    Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.