51 to 54 of 54 Natural Language Processing Jobs in London

automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns). Bring … CloudWatch, API Gateway, ECS, ECR, SQS, SNS). Familiarity with Open AI APIs, Agentic AI – Crew/LangChain/RAG/AutoGen/NLP/Java/Python/REST/Telemetry/Security/Auditability. Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding ...

Build, train, and optimise machine learning models used by financial services clients and quant teams. • Develop LLM‐based solutions including finetuning, conversational agents, and NLP‐to‐LLM pipelines. • Contribute to proprietary data assistance products designed for analytical workflows. • Work across Python‐based modelling, experimentation, and error analysis. • Collaborate closely with … trading‐focused models. • Experience building ML models end‐to‐end, including optimisation and error analysis. • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques. • Comfortable working in a collaborative environment with engineers and product teams. What They Offer • Opportunity to work directly with senior leaders and impact product direction. ...

relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with ...

post-go-live support. There is also an opportunity to contribute to the integration of broader intelligent automation technologies, including Machine Learning, OCR and NLP, within an established governance framework. Key responsibilities Design, develop and deliver end-to-end automation solutions Review Process Definition Documents (PDDs) and produce Solution Design … Documents (SDDs) Develop Power Automate cloud workflows, RPA workflows and hybrid automation solutions Integrate intelligent automation capabilities such as ML, OCR and NLP where appropriate Support SIT and UAT, including preparation of test plans and test data Work closely with technical and change teams to ensure access, requirements and dependencies ...