LLM Fine-Tuning & Optimization Engineer

APPIT Software Solutions is hiring a LLM Fine-Tuning & Optimization Engineer in London, UK. Specialize in fine-tuning and optimizing large language models at APPIT Software in London, applying RLHF, DPO, LoRA, and advanced alignment techniques to build domain-specific AI systems.

• Lead LLM fine-tuning projects using LoRA, QLoRA, full fine-tuning, and continued pre-training
• Design and curate high-quality training datasets for domain-specific model adaptation
• Implement RLHF and DPO alignment pipelines for safety and instruction following
• Optimize model inference using quantization (GPTQ, AWQ, GGUF) and pruning techniques
• Build automated evaluation pipelines for measuring model quality across benchmarks
• Research and implement state-of-the-art parameter-efficient fine-tuning methods

• 5+ years of ML engineering with 2+ years focused on LLM training and fine-tuning
• Deep expertise in parameter-efficient fine-tuning (LoRA, QLoRA, adapters)
• Experience with distributed training using DeepSpeed, FSDP, or Megatron-LM
• Strong knowledge of model optimization, quantization, and serving at scale
• Hands-on experience with Hugging Face Transformers, PEFT, and TRL libraries
• Understanding of data curation, quality filtering, and synthetic data generation

• Published research on LLM training or alignment
• Experience with custom CUDA kernels or FlashAttention
• Knowledge of EU AI Act compliance requirements

APPIT Software Solutions is a leading technology company building AI-powered enterprise products. Join 150+ professionals working on cutting-edge solutions in AI/ML, cloud computing, and digital transformation. We offer competitive salaries, flexible work arrangements, and opportunities for career growth across our global offices.