LLM Fine-Tuning & Optimization Architect

LLM Fine-Tuning & Optimization Architect

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Appit LLC

At a Glance

  • Tasks: Lead projects to fine-tune and optimise large language models using advanced techniques.
  • Company: Join APPIT Software Solutions, a forward-thinking tech company in London.
  • Benefits: Enjoy competitive salaries, flexible work arrangements, and great career growth.
  • Other info: Collaborative environment that fosters innovation and professional development.
  • Why this job: Make a real impact in AI by optimising cutting-edge language models.
  • Qualifications: 5+ years in ML engineering with expertise in LLM training.

The predicted salary is between 60000 - 80000 Β£ per year.

APPIT Software Solutions is hiring an LLM Fine-Tuning & Optimization Engineer in London, UK. The role focuses on fine-tuning and optimizing large language models, utilizing techniques such as RLHF and DPO.

With a minimum of 5 years in ML engineering and a deep understanding of LLM training, the ideal candidate will lead projects and design quality datasets.

A collaborative environment with flexible work arrangements is offered, along with competitive salaries and career growth opportunities.

LLM Fine-Tuning & Optimization Architect employer: Appit LLC

APPIT Software Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets compliance. With a strong focus on employee growth, we provide comprehensive training and mentorship opportunities, ensuring that our team members thrive in their careers while working on cutting-edge AI and fintech solutions. Our flexible work arrangements and competitive salaries reflect our commitment to fostering a supportive and inclusive culture that values every individual's contribution.

Appit LLC

Contact Details:

Appit LLC Recruitment Team

We think you need these skills to ace LLM Fine-Tuning & Optimization Architect

Fine-Tuning Large Language Models
Optimisation Techniques
Reinforcement Learning from Human Feedback (RLHF)
Data Processing and Optimisation (DPO)
Machine Learning Engineering
LLM Training
Project Leadership