Lead Machine Learning Engineer

Role and responsibilities for the Senior Machine Learning Engineer (AI), Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️

• Build and fine-tune NLP and vision models using frameworks like PyTorch and HuggingFace
• Develop retrieval-augmented generation (RAG) pipelines and custom embeddings
• Ship internal tools with light front end/back end components
• Work closely with product and data leads to select and integrate third-party AI services
• Own infrastructure decisions and help define internal ML engineering best practices

Experience and skills required for the Senior Machine Learning Engineer (AI), Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️

• Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️
• Experience with HuggingFace
• Retrieval-augmented generation, embedding pipelines
• Previous industry exposure to multi-node HPC clusters ️
• Experience with Large language models - OpenAI, Mistral, Claude, LLaMA
• Large language model for GPU usage, scaling, and data movement
• Quantization, PEFT, DeepSpeed, ONNX, TensorRT
• Deep Learning with PyTorch

Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️

• Hybrid
• Outside IR35
• Paying between £1300 to £1600 per day, depending on experience