1 to 9 of 9 Natural Language Processing Jobs in the South East with Remote Work Options

ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data more »

currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the … business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time more »

the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. We are deeply embedded in the global climate and AI … data partners in curating large libraries of climate-related documents. And building out our virtual research assistant roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

you gain Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

you gain… Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these more »

to hear from you. You’ll be responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs … machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent recognition, entity recognition, text classification etc Familiarity with recommendation engines - collaborative filtering more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »