Research Engineer (LLM)

Job DescriptionResearch Engineer (LLM)Location: London (Hybrid) Reports to: Principal Data Scientist or Senior Data ScientistKey Linkages: Head of R&D, Principal Legal Solutions Engineer, Head of ProductCompany Overview: Known for pioneering advancements in legal technology, our client is a leading innovator in the integration of advanced data science and natural language processing (NLP) within the legal sector. Their mission is to revolutionize how legal professionals access and leverage critical information.Job Description: The Research Engineer role within the R&D team offers a unique opportunity to drive the development of cutting-edge legal research solutions. This position plays a pivotal role in translating complex legal challenges into data-driven tools that enhance the client's product portfolio.Key Responsibilities:Collaborate with interdisciplinary teams to design, prototype, and refine solutions aligned with project objectives.Utilise large language models (LLMs) to develop data-driven solutions for complex legal information retrieval tasks.Stay abreast of the latest advancements in LLMs and data science, contributing to ongoing innovation efforts within the team.Manage the R&D codebase and datasets to ensure high standards of data quality, privacy, and security.Engage directly with clients to understand their needs and apply insights to inform the R&D strategy.Qualifications and Experience:Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields.Proven experience in data science roles, particularly in natural language processing and LLM applications.Experience in the legal sector is advantageous.Strong problem-solving skills and ability to thrive in a fast-paced, evolving environment.Excellent communication skills to convey technical concepts effectively to diverse stakeholders.Application Process:Candidates interested in this role are invited to apply or email me thier CV atDesired Skills and ExperienceData Science | Natural Language Processing (NLP) | Large Language Models (LLMs) | Legal Research Solutions | Innovation | Prototype Development | Interdisciplinary Collaboration | Data-Driven Tools | R&D Codebase Management | Client Engagement | Problem-Solving | Technical Communication