7 of 7 Permanent Natural Language Processing Jobs in the East of England

could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … well as to grow technical research areas of interest to you. You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions ...

pipelines and ETL workflows for efficient and accurate data movement and transformation. Apply data science and AI techniques, including predictive modelling, clustering, regression, and NLP, to uncover trends and enable forecasting. Design scalable data models and analytics frameworks to support self-service BI and advanced analytics. Collaborate with cross-functional ...

into actionable recommendations. Innovative Solutions: Combine structured datasets with unstructured sources (like text and customer interaction data) to create robust features and predictive models. NLP & GenAI Expertise: Apply traditional NLP techniques and cutting-edge GenAI tools for text classification, summarization, entity extraction, and more. Data Pipelines: Build, validate, and optimise … data science solutions that yield practical outcomes. Experience in combining structured and unstructured datasets for modelling and analysis. Strong background in NLP and GenAI techniques, including text classification, summarization, and embeddings. Advanced proficiency in SQL, Python, and PySpark, with a focus on software development best practises. Experience deploying data science ...

managers, hedge funds, index providers and sell-side banks. As an engineer on the Data Products team you'll own the pipelines that ingest NLP and financial data from public equities around the world to produce the Theia Insights Industry Classification (TIIC) and the datasets behind our Thematic Factor Risk … major theme and micro theme, by extracting information from filings and web content, and assigning thematic exposures based on this information. Run large-scale NLP and LLM inference (entity extraction, classification, knowledge graph construction) over company documents, with cost- and throughput-aware batch execution. Ingest market data and publish datasets ...

document processing solutions. Exploration and Deployment of AI Opportunities Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission … regulatory platforms, processes, and best practices Capability to design digital roadmaps to modernise regulatory operations Experience with automation technologies (RPA, workflow tools, intelligent document processing) Understanding of AI capabilities in regulated environments and ability to translate needs into AI-enabled use cases Expertise in master data management, metadata structures ...

Search Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...

financial intelligence products and serves leading asset managers, hedge funds, and banks. We are seeking an engineer for the Data Products team to own NLP/data pipelines ingesting filings and web content to power TIIC classifications and our thematic factor models. You will run large-scale NLP inference, ingest ...