26 to 50 of 91 LLM Jobs in Central London

Haves: Experience selling complex SaaS products to mid-market or enterprise firms. Frequent user of AI products with an understanding of the current LLM landscape. Side projects, "hustles," or early-stage startup experience that shows you can build from zero. 🎁 What’s In It For You? Competitive base + unlimited ...

ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation ...

Job Title: AI Architect (Wealth) Job Description This position is pivotal in designing AI and Machine Learning solutions on cloud-based platforms, exploring emerging AI trends, developing proof-of-concepts, and collaborating with internal and ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures ...

with ambiguity and fast-paced environments Bonus: Early-stage startup experience 0-1 product building (side projects count!) B2B SaaS or enterprise product experience LLM/AI implementation experience Why this matters: This isn't another AI chatbot. You'll build something people genuinely need while working alongside future founders ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across … building scalable AI services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation) Build APIs/services integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans ...

excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work … Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

Are you passionate about Artificial Intelligence and ready to lead from the front? Were looking for a Lead AI Engineer to join our AI and Data Practice at Sopra Steria. This is a hands-on ...

LLM & Agentic Consulting Engineer Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both … solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings ...

environments. The work spans exploratory research, rapid prototyping, and full production deployment. You will be solving complex, real-world problems using modern ML and LLM techniques, working on sensitive, high-impact systems where quality, governance, and operational readiness genuinely matter. What You’ll Be Doing Designing and developing machine learning … models across forecasting, classification, and anomaly detection use cases. Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures. Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints. Transitioning validated experiments into production-ready systems in collaboration with software ...

lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture … model evaluation, while collaborating closely with product and domain experts. Key Responsibilities Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks Own AI evaluation, guardrails, and observability systems Translate financial workflows into scalable AI capabilities Collaborate directly with the CTO and external development teams Help shape ...

We are seeking a senior AI Technical Architect within a secure UK Government environment. You will bridge the gap between high-level stakeholder strategy and hands-on implementation of Generative AI and Large Language Models ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

Solution Engineer £Up to £65,000 GBP Up to 10% Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Join a globally recognised technology group consistently ranked among Britain's Most Admired ...

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands … Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial ...

engineering fundamentals alongside classical data science skills. This is a great opportunity for a generalist data scientist who wants ownership, variety, and exposure to LLM use cases in a commercial environment. Key Responsibilities Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision … technically strong, mid-level data scientist with a solid grounding in core data science principles and a growing interest in modern NLP and LLM-based systems. You enjoy working end-to-end, writing clean, production-ready code, and taking ownership of your work. Around 3 years’ experience in a hands ...