26 to 50 of 129 LLM Jobs in the City of London

security, deployment patterns, and the safe operationalization of foundation models. AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows. Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls. Key Responsibilities Innovative ...

. The Full Stack Engineer will not just use AI tools but actually build with them. The Full Stack Engineer will integrate cutting-edge LLM workflows. The Full Stack Engineer will build AI-powered product features. The Full Stack Engineer will develop front end solutions using React, Typescript, NextJS. ...

consistent under load Systems designed to scale confidently from 10 → 10,000+ users Tech Stack NodeJS GraphQL (NestJS) PostgreSQL Prisma GCP Terraform AI/LLM integrations (including Gemini) What They’re Looking For Strong fundamentals: data structures, OOP, and complexity analysis Experience building high-concurrency, event-driven systems Reliability mindset ...

Vercel/AWS. Day-to-day looks like: Designing and building core platform features (email automation, lead generation, integrations, MCPs) Making architectural calls on LLM orchestration, eval pipelines, and agent reliability Shipping fast, iterating from real user feedback, not spec documents Working directly with founders on product direction What ...

good” looks like, ensure diversity/coverage, and close the gap between sim and real. Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, ...) without breaking existing ones. Build and maintain continuous ...

monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector ...

role offers complete autonomy over the build, architecture and scaling of the platform globally. The right engineer should bring experience with Neo4j, production grade LLM/AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java/JVM and API-first architecture. The position offers a rare modernisation opportunity ...

major UK enterprise. You’ll work with: Amazon Connect, Contact Flows, Amazon Lex, Lambda TypeScript/JavaScript/Python CI/CD , serverless, monitoring LLM‐powered features and AWS AI tools You must be: A hands‐on coder (not an architect) Experienced with Connect + Lex (visible in your ...

improving automated testing practices Participating in peer code reviews and helping maintain high engineering standards Using AI-assisted development tools (including the latest LLM models) as part of day-to-day engineering workflows Tech Stack You’ll primarily be working with: TypeScript (Node.js & React) Monorepo tooling, GitHub, GitHub Actions Jest ...

large enterprise or consulting environments Strong capability in AI value articulation, including ROI modeling, business case development, and outcome‐based selling Experience in GenAI, LLM, and Agentic AI solutions on hyperscaler platforms (AWS, Azure, GCP) Deep understanding of enterprise buying processes, RFPs, commercial constructs, and deal shaping. Ability to engage ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

Agentic AI Engineer (LangChain LangGraph RAG LLM) London/WFH to £90k Do you want to work on cutting edge AI technology being used in the real world? You could be progressing your career as an Agentic AI Engineer at a successful and growing technology company that have recently received ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

from idea to production to customer adoption • Collaborating with product and commercial teams as well as customers 🧠 Tech/environment • Python • Generative AI and LLM workflows • AI assisted development tools such as Cursor, Copilot and Claude Code • API and backend system design • Product focused engineering within a startup environment 👀 They ...

Job Title Pre-Sales Data and GCP AI Solution Architect About the Role Design and implement a comprehensive strategy for migrating and modernizing existing relational on premise databases, data warehouses (Teradata, Hadoop, Netezza, AWS, Azure ...

complex TypeScript codebases Are comfortable working end-to-end across product and engineering Actively experiment with and refine AI-assisted development workflows Have built LLM-powered systems or AI agents in production environments Tech Stack TypeScript monorepo React, tRPC, Tailwind Event-driven workflows and background jobs Deployed on Google Cloud ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

Node, Python, Go experience welcome) Frontend experience in SolidJS preferred, or React/Vue/Svelte with willingness to switch Proven experience integrating LLM APIs (OpenAI, Anthropic, Gemini, etc.) Already using AI tools daily for productivity gains Write clean, tested, documented code with security and performance in mind Comfortable ...

hide behind ambiguity. You care about the result — and you act on it. You're AI-native. You're actively exploring LLM workflows, AI tooling, automation, or developer productivity improvements. You see AI as a force multiplier, not a buzzword. Culture High standards. Low ego. Direct feedback. Fast execution. Real ...

take ownership of problems Enjoy figuring things out without being told exactly what to do Technically you’re comfortable with: Python or TypeScript LLM APIs (OpenAI, Anthropic, etc.) APIs and data pipelines Automation tools and integrations You don’t need to know everything. You just need to learn extremely fast. ...

ownership from initial design through to production. Work with modern tech stack with a focus on frontend development, using Typescript and Node.js and utilise LLM/AI tools and techniques. Collaborate with DevOps Engineers and QA Engineers on building pipelines, conducting testing where required and communicate directly with stakeholders. What ...

passion for learning new tools and techniques. Nice to Have Experience building developer tools, AI infrastructure, or coding platforms . Familiarity with LLM APIs and AI model integration. Experience with cloud platforms and containerized environments. Interest in AI-native software engineering workflows . To apply for this role please submit ...

fast, with users in mind You’ll work directly on: Core agent loops (prompting, tool selection, model choice, memory & context) High-performance, real-time LLM-powered UX Making autonomous systems reliable enough for daily, mission-critical work As a Founding Engineer, you’ll wear many hats: Backend: Python Frontend: TypeScript ...

Job Title: AI Engineer/Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer/Machine ...

intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering , typically involving technologies such as: Large language model–driven systems AI-assisted automation and orchestration Intelligent workflow systems Data pipelines and evaluation frameworks Distributed platform architectures What We’re Looking For Core ...