376 to 400 of 1,134 LLM Jobs in England

AI Science Manager page is loaded AI Science Managerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Role Overview As an AI Science Manager in IQVIA's Applied Data Science Center (ADSC), you will lead the More ❯

chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: Chatbots Document Q&A systems Report generators Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

that is constantly evolving, driven by technological advancements and a visionary approach to future challenges in the AI space. Responsibilities: Build and refine AI/ML models, focusing on LLM-based solutions including RAG, fine-tuning, and prompt engineering. Design and implement AI-powered solutions, leveraging Python, SQL/NoSQL, and APIs for seamless integration. Prototype and rigorously test AI … Communicate complex technical ideas to stakeholders across technical and non-technical backgrounds, ensuring clarity and actionable insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL/NoSQL databases and More ❯

intersection of AI-led discovery and next-gen search behaviour. Champion Generative Engine Optimization (GEO) by influencing how Aries is surfaced across AI chat interfaces, voice search, and emerging LLM-driven platforms. Build high-quality, intent-matching content with internal and external creators—content that ranks in traditional SERPs and is referenced in generative answers. Strong analytical skills and comfort More ❯

intersection of AI-led discovery and next-gen search behaviour. Champion Generative Engine Optimization (GEO) by influencing how Aries is surfaced across AI chat interfaces, voice search, and emerging LLM-driven platforms. Build high-quality, intent-matching content with internal and external creators—content that ranks in traditional SERPs and is referenced in generative answers. Strong analytical skills and comfort More ❯

intersection of AI-led discovery and next-gen search behaviour. Champion Generative Engine Optimization (GEO) by influencing how Aries is surfaced across AI chat interfaces, voice search, and emerging LLM-driven platforms. Build high-quality, intent-matching content with internal and external creatorscontent that ranks in traditional SERPs and is referenced in generative answers. Strong analytical skills and comfort owning More ❯

to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS - Bachelor’s degree in a relevant field or equivalent professional experience - Experience with creating complex data for LLM training and evaluation - Proven experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats More ❯

to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS- Bachelor s degree in a relevant field or equivalent professional experience - Experience with creating complex data for LLM training and evaluation - Proven experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats More ❯

to fast-paced environments with changing circumstances, direction, and strategy PREFERRED QUALIFICATIONS- Bachelor s degree in a relevant field or equivalent professional experience - Experience with creating complex data for LLM training and evaluation - Proven experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats More ❯

teams ?? Optimise agent behaviour via feedback and user interaction ?? Evaluate performance and maintain safety mechanisms ?? Document agent logic, design, and dependencies Key Skills & Experience: ?? Proven experience designing and refining LLM prompts and AI agents ?? Strong analytical skills for assessing outputs and interactions ?? Experience managing prompt libraries and best-practice templates ?? Effective cross-functional collaboration and communication ?? Familiarity with evaluation frameworks More ❯

the playing field and believe access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine tuned LLM and recently passed the UK's bar exam equivalent. We're backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. More ❯

user of tools for all main SEO research, reporting, and diagnostic use cases (e.g., keyword research, competitor analysis, bot analysis, scraping, auditing, traffic analysis, analytics, etc.) Awareness of emerging LLM/Search landscape and GEO opportunities Detailed understanding of datasets relevant to the SEO ecosystem Basic proficiency in SQL and Python Additional Information Were a community here that cares as More ❯

ll evaluate (and you'll operate) through this lens: 1) Product Strategy – choose the right problems and move the right metrics Own a core outcome (e.g., activation, early retention, LLM reliability) with a clear thesis and roadmap Tell a metrics story: define baselines, leading indicators, and the sequence of bets to get from A → B Think in systems: map the More ❯

ll evaluate (and you'll operate) through this lens: 1) Product Strategy – choose the right problems and move the right metrics Own a core outcome (e.g., activation, early retention, LLM reliability) with a clear thesis and roadmap Tell a metrics story: define baselines, leading indicators, and the sequence of bets to get from A → B Think in systems: map the More ❯

with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For Strong engineering background (ideally 5+ years). Proven experience shipping production LLM systems . Hands-on experience with agentic/multi-step reasoning AI . Familiar with modern AI tooling . Product-first mindset and excited about early-stage startup ownership . More ❯

skills, expertise and leadership skills to build a team of designers and developers as the company scales. Direct hands on experience in using and building AI/ML/LLM and SaaS products. 5+ years experience within a startup or scale-up environment. Previous Founder/Co-Founder experience (advantageous). Experience of building global products, accommodating for different cultures More ❯

skills, expertise and leadership skills to build a team of designers and developers as the company scales. Direct hands on experience in using and building AI/ML/LLM and SaaS products. 5+ years experience within a startup or scale-up environment. Previous Founder/Co-Founder experience (advantageous). Experience of building global products, accommodating for different cultures More ❯

skills, expertise and leadership skills to build a team of designers and developers as the company scales. Direct hands on experience in using and building AI/ML/LLM and SaaS products. 5+ years experience within a startup or scale-up environment. Previous Founder/Co-Founder experience (advantageous). Experience of building global products, accommodating for different cultures More ❯

skills, expertise and leadership skills to build a team of designers and developers as the company scales. Direct hands on experience in using and building AI/ML/LLM and SaaS products. 5+ years experience within a startup or scale-up environment. Previous Founder/Co-Founder experience (advantageous). Experience of building global products, accommodating for different cultures More ❯

skills, expertise and leadership skills to build a team of designers and developers as the company scales. Direct hands on experience in using and building AI/ML/LLM and SaaS products. 5+ years experience within a startup or scale-up environment. Previous Founder/Co-Founder experience (advantageous). Experience of building global products, accommodating for different cultures More ❯

any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Scientific publication track record at top-tier AI/ML/NLP conferences or journals PREFERRED … QUALIFICATIONS Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Strong communication skills, with attention to detail and ability to convey More ❯