Remote Senior AI LLM Engineer — Fine-Tune & Deploy

David Kennedy Recruitment

United Kingdom

À distance

GBP 70 000 - 120 000

Plein temps

Il y a 11 jours

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Avantages offerts par ce poste

Fully remote Europe
B2B collaboration
Paid leave 20 days
Health insurance allowance
Equipment budget
AI development tools
Learning support
Annual team gathering
Self-hosted LLMs work

Résumé du poste

David Kennedy Recruitment is seeking a Mid/Senior AI LLM Engineer to join a Europe-based, fully remote team. You will fine-tune self-hosted language models, create training datasets, and build evaluation frameworks for production deployment.

You will work with open-weight models, PyTorch and Hugging Face, applying LoRA/QLoRA and preference-based training techniques. The role emphasizes experimentation, collaboration with AI engineering, product and DevOps teams, and continuous improvement of

Qualifications

  • Hands-on experience fine-tuning open-weight AI language models and deploying them into production.
  • Strong Python programming skills.
  • Experience with PyTorch and Hugging Face.
  • Experience with LoRA and QLoRA techniques.
  • Familiarity with preference-based training techniques such as DPO/GRPO.
  • Experience building training datasets and evaluation frameworks.
  • Practical experience with GPU-based training and debugging.
  • Experience with consumer-facing AI products.
  • Comfort working with uncensored AI models and moderation material.

Responsabilités

  • Train and fine-tune existing AI language models to improve their conversational abilities.
  • Prepare and improve training datasets to help models produce more accurate, natural and consistent responses.
  • Develop testing methods to measure model quality and identify areas for improvement.
  • Improve conversational memory, personality consistency and long-running dialogue.
  • Develop multilingual conversational capabilities and interactions involving multiple characters.
  • Investigate model failures and optimise training data, prompts and response filters.
  • Run model training experiments using GPUs and troubleshoot technical issues.
  • Deploy improved models into production, monitor their performance and continue refining them.
  • Collaborate with AI engineering, product, web development and DevOps teams.

Connaissances

Python
PyTorch
Hugging Face
LoRA
QLoRA
DPO/GRPO
GPU Training
Dataset Preparation
Model Evaluation
Debugging

Description du poste

David Kennedy Recruitment is seeking a Mid/Senior AI LLM Engineer to join a Europe-based, fully remote team. You will fine-tune self-hosted language models, create training datasets, and build evaluation frameworks for production deployment.

You will work with open-weight models, PyTorch and Hugging Face, applying LoRA/QLoRA and preference-based training techniques. The role emphasizes experimentation, collaboration with AI engineering, product and DevOps teams, and continuous improvement of

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