AI Engineer – LLM Fine-Tuning (Azure | Contract)

Start: ASAP
Duration: 12 Months
Location: Remote (Valencia preferred / Hybrid)

About the Role

We’re looking for an experienced AI Engineer to lead the fine-tuning of open-source LLMs on Azure using both Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT). You’ll own the full lifecycle from data preparation through training, evaluation, deployment, and MLOps.

Key Skills

• 5+ years’ software engineering experience
• 2+ years’ hands-on LLM fine-tuning experience
• Strong Python & PyTorch
• Hugging Face (Transformers, TRL, PEFT, Datasets, Accelerate)
• LoRA/QLoRA, bitsandbytes, SFT & RFT
• Azure Machine Learning & Azure AI Foundry
• Experience deploying and evaluating fine-tuned LLMs

Nice to Have

• DeepSpeed & distributed training
• vLLM, Ollama, llama.cpp
• Azure OpenAI Fine-Tuning API
• RAG / GraphRAG
• Terraform or Bicep
• Responsible AI & Azure cost optimisation

Interested?
If this opportunity aligns with your skills and experience, please send your updated CV to taylor.lewis@darwinrecruitment.com.

Darwin Recruitment is acting as an Employment Business in relation to this vacancy.

Taylor Lewis