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- 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.
- 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.
- Competitive salary up to £95 000
- Outstanding career progression opportunities.
- Flexible working arrangements.
Machine Learning Engineer - London, United Kingdom - Harnham
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:
Your Skills and Experience:
Benefits:
How to Apply:
Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.