51 to 54 of 54 Natural Language Processing Jobs in London

of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art … model deployment, evaluation, and optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs … team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership More ❯

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 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 More ❯

directly on AI/ML-powered products. Bonus points for working directly on foundation models. Have in-depth knowledge of how machine learning works, particularly when it comes to NLP and Large Language Models (LLMs). Bonus points for experience with Multimodal AI. Have experience with working in a chaotic, fast paced, low structure environment. We need a TPM More ❯

highly skilled and experienced AI Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable AI-driven solutions and bring them into production. Key Responsibilities … Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. Integrate AI models into systems using APIs and message brokers such as REST and Kafka. Implement secure systems using modern authentication and authorization standards like OAuth2, JWT, and Azure AD. Apply best practices in AI model evaluation, tuning, and optimization. Work with … production-grade AI/ML projects, including at least two successful deployments. Strong expertise in: API integration & inter-service communication (REST, Kafka) Authentication/Authorization (OAuth2, JWT, Azure AD) NLP techniques (NER, classification, chunking, summarization, QA) RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) Vector databases (FAISS, Azure AI Search More ❯