1 to 25 of 1,930 LLM Jobs in London

world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced … NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems … Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent systems to enhance NLP capabilities and More ❯

and other investors. Relevant MS or PhD degrees. Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementations. More ❯

and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementation. LNKD1_UKTJ Seniority level Seniority level Director Employment type Employment type Full-time Job function Industries Civil Engineering Referrals increase your chances of interviewing More ❯

To Qualify for the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. A solid understanding of AI/ML algorithms, data science, and machine learning is essential. Rapid prototyping of Data Science and Machine Learning More ❯

problems through data science or AI solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Dimensionality reduction LLM Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as More ❯

To Qualify for the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. Strong understanding of AI/ML algorithms, data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning More ❯

To Qualify for the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. Strong understanding of AI/ML algorithms, data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning More ❯

to set job alerts for “Principal Research Scientist” roles. Senior Research Scientist, Evidence Synthesis London, England, United Kingdom 6 months ago Senior Research Scientist (LLM post training) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J More ❯

AI tools and platforms, such as Microsoft Copilot Studio. Knowledge of coding and data manipulation (e.g., json, REST API, Python, SQL). Experience using LLM’s with tools and MCP architecture. Analytical & Problem-Solving Abilities: Ability to dissect complex operational challenges and identify appropriate AI solutions. Strong analytical skills to More ❯

We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational More ❯

networks, multi-class classifications, decision trees, support vector machines etc. Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with a demonstrated ability to work effectively More ❯

space (LLMs) & share your experience with optimisation techniques such as quantization and pruning to minimise training & inference requirements for models. Design and implement effective LLM-tooling, finetuning & response evaluation strategies. Guide teams on the latest AI solution development practices and capabilities, and accordingly refine and improve our model development lifecycle More ❯

including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one of more of) Python, LLM(Large Language models), RAG, Langchain Set Yourself Apart With Bachelor’s/Master’s degree in Computer Science or related field Experience of working on More ❯

role you will You'll have the opportunity to work on a mixture of the following: Generative AI Design and develop RAG based applications. LLM fine-tuning, including preparation of training sets from internal data Agent based applications Evaluating use-case specific LLMs AI/ML NLP: Named Entity Recognition More ❯

communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries ( Pytorch, Tensorflow) from early More ❯

of GDPR-compliance and data governance in the context of machine learning. Experience in insurance or financial services. Familiarity with OpenAI, GPT, or other LLM technologies. Infrastructure management, including monitoring, backup, and disaster recovery. What We Will Offer You Recognised and rewarded for a job well done, we have a More ❯

of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

roles, especially in the supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or the public sector is a plus. Experience with LLM and RAG, GenAI, and agentic workflows is a plus. We care about our people’s lives, both inside and outside of causaLens. Beyond the core More ❯

learning) to address specific business challenges. • Work with Large Language Models (LLMs): fine-tuning, prompt engineering, developing Retrieval-Augmented Generation (RAG) systems, and integrating LLM capabilities into applications via APIs. • Process, clean, and analyze large datasets to prepare them for model training and evaluation. • Develop APIs and services to integrate More ❯

Collaborate with engineering, data science, and AI teams to develop AI-powered capabilities. Evaluate AI model performance through testing and experimentation. Deploy and improve LLM-based applications in production. Integrate AI capabilities into production systems, ensuring scalability and efficiency. Stay updated with AI and ML advancements and suggest improvements. Work More ❯

evolve our software architecture as we productize new AI-powered capabilities. Evaluate the performance of AI models & systems through rigorous testing and experimentation. Deploy LLM-based applications in production, evaluating and improving their performance over time. Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production More ❯

evolve our software architecture as we productize new AI-powered capabilities. Evaluate the performance of AI models & systems through rigorous testing and experimentation. Deploy LLM-based applications in production, evaluating and improving their performance over time. Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production More ❯

utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and More ❯

between technical and non-technical teams. Self-driven, innovative, and highly motivated professional with a passion for delivering high-quality AI solutions. Familiarity with LLM model inference solutions and related architectures. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Data Science, or a related field. More ❯

role you will You'll have the opportunity to work on a mixture of the following: Generative AI Design and develop RAG based applications LLM fine-tuning, including preparation of training sets from internal data Agent-based applications Evaluating use-case specific LLMs AI/ML Engineering NLP: Named Entity More ❯