126 to 150 of 555 LLM Jobs in the UK

product growth. Bright but has humility - you'll fit in well! Innovator, in technology and GTM, you love delivering ideas whose time has come. AI/ML literate - understands LLM limits, evals, performance/latency/cost trade-offs, data pipelines, guardrails, and can quickly gain respect of Eng/Research. Specific Voice AI experience certainly helps! We encourage you More ❯

stakeholders on routinely short timelines. Be an outstanding collaborator and work cross-functionally with colleagues in legal, compliance, finance, product and business operations. What you will need - J.D. or LLM and active membership with a state bar and eligible to practice in any U.S. state. 8+ years of legal experience as outside counsel or in-house counsel (in-house counsel More ❯

Design, develop, and evaluate AI and Machine Learning models Apply cutting-edge Machine Learning techniques to solve complex modelling challenges in the energy sector Leverage Generative AI capabilities, including LLM post-training, to develop innovative solutions for energy-related challenges Collaborate with product, engineering, and domain teams to understand user requirements and develop innovative, production-ready AI solutions aligned with … such as Graph Neural Networks (GNN) for modelling complex relationships, Physics-Informed Neural Networks (PINN) for incorporating domain knowledge, or Temporal Fusion Transformers (TFT) for advanced and interpretable forecasting LLM Specialisation : Hands-on experience with modern LLM training techniques including fine-tuning, RLHF, parameter-efficient methods (LoRA/QLoRA), or custom post-training workflows MLOps experience : Knowledge and familiarity with … the following: Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker More ❯

Technically sharp AI Prompt Engineer Youll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of … speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ?? Youll Bring Strong Python skills and experience with LangChain, Transformers, Hugging Face. Solid grasp of LLM behavior, prompt optimization, and data engineering. Familiarity with vector databases (FAISS, Pinecone, ChromaDB). Hands-on with Linux, Bash/Powershell scripting, cloud environments. Creative problem-solver with excellent communication More ❯

Clear progression plan Remote/work from home options Clear diversity policy Looking to launch your career in AI and automation? Want to design intelligent workflows and build real-world automations using cutting-edge tools like n8n, Copilot Studio, and 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 ❯

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 ❯

siloed What They Need 2-3+ years building production-grade data systems in fast-paced environments Solid experience with modern data stack (ELT pipelines, data warehouses, semantic layers, LLM integration) Strong SQL and comfortable with dbt for data transformation Product-minded —you care about outcomes, ask "why", and understand user context Self-directed with a bias for execution—you 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 ❯

digital self-expression platforms Familiarity with creative or 3D tooling (Figma, Unity, Unreal, etc.) Background in high-growth consumer apps or UGC ecosystems Exposure to AI/ML or LLM-based product environments Why Join Exponential growth: Be part of a company scaling from tens of millions of users toward hundreds of millions Category-defining innovation: Help shape an emerging More ❯

skills; frames strategic choices with evidence and risk trade-offs. People leadership: hiring, coaching, career development and cross-discipline collaboration. Advantageous: corporate affairs/public policy exposure; GEO/LLM optimisation; strong analytics and brand measurement (incl. Barcelona Principles), Share of Search and foundational MMM. Demonstrate proven, hands-on experience with AI tools, applying them to drive more effective, efficient 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 ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help More ❯

Overview Location: Belfast Other locations: Primary Location Only Date: 15 Sept 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and 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 ❯

deploy GenAI features in telecoms use cases like network analytics, customer experience, and automation. Own end-to-end delivery - from prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers … Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging Face, Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments More ❯

As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will More ❯

As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will More ❯

About The Role With millions of users worldwide, our products have earned a reputation for "just working" seamlessly right out of the box, almost like magic. This seamless experience is no accident; it's a testament to our commitment to More ❯

highly quantitative field. -Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. -Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches. -Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs. -Experience with open More ❯