Machine Learning Engineer (LLM)

at  Harnham

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate19 Jul, 2024GBP 90000 Annual19 Apr, 2024N/ATeams,Communication Skills,AwsNoNo
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Description:

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.

Responsibilities:

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.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

MSc

STEM

Proficient

1

London, United Kingdom