76 to 100 of 135 Natural Language Processing Jobs in the South East

OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer ...

dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners’ research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

embeddings, retrieval, multi-agent architectures, document understanding) • Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

carried through to production Desired Skills/Experience Experience of working with .NET 5/.NET Core Experience of .NET stack AI technologies (ML.NET, NLP etc.) Experience of working with Rx (Reactive Extensions) Experience of working with Python Experience of working with HTML5 and JS A working knowledge of Fixed ...

leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using ...

z2bz0 years in leadership roles. Deep understanding and experience of AI technologies, trends and strategies with expertise in machine learning, deep learning, NLP, computer vision, or other AI domains such as Generative AI and Agentic AI. Track record of deploying AI solutions at scale with experience in leveraging and building ...

hands-on research, software development, and collaboration with a multidisciplinary team in a dynamic environment. Responsibilities include: Conduct independent research in audio and speech processing, including signal processing, machine learning, and deep learning. Design, develop, and implement algorithms and systems for audio/speech analysis, enhancement, separation … plus. Solid understanding of machine learning and deep learning, including model architectures, training, and evaluation. Proven research experience in audio/speech processing with publications in top-tier conferences/journals. Proficiency with ML frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills; ability to design ...

tech or direct exposure to the legal field (law degree, paralegal experience, legal operations, or legal tech product background). Strong understanding of LLMs, NLP, information retrieval, and knowledge systems. Ability to translate complex legal workflows and AI capabilities into intuitive, outcome-focused products. Excellent communication skills, with the ability ...

DevOps-oriented workflow. Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models. What We're Looking For Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics. Strong Python skills (pandas … ability to explain complex concepts to non-technical stakeholders. Ability to align analytical outputs with broader business objectives. Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs). Familiarity with generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ...

fairness, transparency, and user trust. What You'll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop ...

Data Science at Head-of/Director level Strong background in AI strategy, delivery, and enterprise-scale implementation Deep technical expertise across ML, LLMs, NLP, and cloud platforms Experience building and leading high-performing AI teams Demonstrated success driving AI transformation in complex organisations Excellent stakeholder management and communication skills ...