26 to 50 of 93 LLM Jobs in East London

and command line tools An enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile More ❯

in building the systems that power our AI-driven applications—from intuitive front-end experiences to robust back-end infrastructures. You’ll be responsible for developing, deploying, and optimizing LLM-based applications in production environments, while maintaining scalable APIs and infrastructure using Python frameworks such as FastAPI. This is a cross-functional role where you’ll collaborate closely with front … APIs using Python (FastAPI/D) Apply domain-driven design and test-driven development to build microservices using agile methodologies, with a focus on reliability Develop, test, and deploy LLM-based applications in secure, production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering … knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and More ❯

Full Stack Developer - CharterSync, London At CharterSync, we're transforming global air cargo charter through innovation and technology. As we experience rapid growth, we're seeking an experienced Full Stack Developer to join our dynamic London team. In a short More ❯

or upskill research engineers, data scientists and backend developers; formalise career ladders and a high-trust culture. Secure the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + More ❯

need, just giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature … into elegant solutions Optimise application performance and system scalability as usage grows Drive architectural improvements and evaluate new tools/libraries Help productionise AI features (prompt tuning, prompt chaining, LLM orchestration, etc.) What We Look For 5+ years in software engineering, ideally across full stack environments Experience working on complex systems with meaningful scale A bias toward action and pragmatism More ❯

About us At Diligent, we are on a mission to help fintechs and banks catch fraudulent businesses. We build LLM agents to automate risk investigations during business onboarding and monitoring. For example, we can help investigate the online presence of businesses to detect high-risk activities, identify reputation-compromising signals, comb through news articles to extract new risk insights etc. … the development and scaling of our core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives. What we expect Within days: Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences. Release your first code, we believe in the “You Build It, You Run It” principle Work directly with customers to solve More ❯

advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You Strong experience delivering More ❯

powered platform designed to support frontline clinicians with instant, evidence-based answers. You’ll join a small, mission-driven team working at the intersection of healthcare and cutting-edge LLM technology, shipping fast and solving meaningful problems every day. What You’ll Own Architect and develop backend microservices (Python/FastAPI) that power our RAG pipelines and analytics Build scalable More ❯

Software Engineer - Artificial Intelligence/Automation London - mostly remote £50-70,000 Join us in building cutting edge AI applications, unlocking the full potential of AI/ML modelling. It's new, it's exciting and it's an opportunity More ❯

model systems at the frontier of applied AI. In this role, you’ll help build foundational agent and RAG infrastructure, shape internal research initiatives, and accelerate the delivery of LLM-powered features to end users. You’ll collaborate cross-functionally with engineering and product teams to experiment, evaluate, and deploy cutting-edge AI methods that are both scalable and production … ready. Key Responsibilities: LLM System Development : Research, prototype, and build systems powered by large language models, focusing on reliability, efficiency, and relevance. Agent & RAG Architectures : Design and refine agentic workflows and retrieval-augmented generation pipelines that improve performance, accuracy, and cost-efficiency. Evaluation & Alignment : Develop metrics and tools to measure model performance, groundedness, and behaviour; explore fine-tuning and alignment More ❯

architecture, tools, and processes that support a growing research team focused on large-scale AI systems. What You’ll Do- Design and maintain scalable, reliable infrastructure to support large language model evaluations using Infrastructure as Code (IaC) principles Evaluate, select, and integrate technologies that support deployment and scaling (e.g., determining whether to adopt container orchestration tools) Develop internal tools that More ❯

SaaS Start-up A fast-growing B2B SaaS start-up is looking for a talented Senior AI Engineer to set up and co-lead the introduction of AI and LLM-powered capabilities across their platform. This is a rare opportunity to join at a pivotal moment and take high ownership from day one , writing production code immediately and making strategic … frameworks Collaborate closely with product and design to prototype, ship and iterate quickly Drive high-impact work in a fast-paced, high-trust environment Continuously explore and evaluate emerging LLM tools, techniques, and architectures to evolve our AI offering. Contribute to UX thinking for how AI capabilities are surfaced in the platform. What we're looking for: AI/ML … or LLM-based development in a fast-paced start-up environment. Built and deployed production-grade agentic systems Hands-on experience with PydanticAI, LangChain, LangGraph, or similar agent orchestration tools. Strong understanding of LLM evaluation, prompt design, and techniques for tuning models to domain-specific tasks. Deep understanding of large language models (LLMs), including advanced concepts such as key-value More ❯

LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine More ❯

Join us an AI Product Owner for our client. At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large More ❯

Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). LLM & RAG Systems: Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant. More ❯

hybrid web-desktop applications with clean, functional UIs using Electron, Tauri, or Wails . Designing context-aware adaptive systems capable of responding intelligently to changing environments. Integrating AI/LLM-based reasoning engines into real-time applications and workflows. Working on solutions involving IoT, robotics , and fog/edge computing . What We’re Looking For: Senior Full Stack Engineer More ❯

What You’ll Be Building You’ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across … You’ll Need 1–3 years of professional software engineering experience — ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines More ❯

of the spring batch's "Top-10 AI agent startups" by Business Insider. We're looking for a full-stack engineer with hands-on experience in building and deploying LLM-based products from scratch. You'll develop multi-agent systems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle. … Postgres, etc. Experience with React, FastAPI, or other common web frameworks. An understanding of core concepts in ML, data science and MLOps. Nice-to-Have : Built agentic workflows/LLM tool-use. Experience with MLFlow, WandB, LangFuse, or other MLOps tools. Experience with AirFlow, Spark, Kafka or similar. Why Plexe? Hard problems: we're automating the entire ML/AI More ❯

Consumer AI | London | ML Engineer A fast-moving insights & analytics startup is searching for an ML Engineer to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning More ❯

code quality, correctness, and maintainability. Proficient with code review processes and reading diffs in real-world repositories. Exceptional written communication skills to articulate evaluation rationale clearly. Prior experience with LLM-generated code or evaluation work is a plus. Bonus Points Experience in LLM research, developer agents, or AI evaluation projects. Background in building or scaling developer tools or automation systems. More ❯

code quality, correctness, and maintainability. Proficient with code review processes and reading diffs in real-world repositories. Exceptional written communication skills to articulate evaluation rationale clearly. Prior experience with LLM-generated code or evaluation work is a plus. Bonus Points Experience in LLM research, developer agents, or AI evaluation projects. Background in building or scaling developer tools or automation systems. More ❯

Do you have a passion for building modern AI products utilising LLM's/Gen AI? This could be for you . Let me start with a snapshot of the role: Role : Senior Software Engineer (AI product) Stack : TypeScript, RoR, GraphQL, PostgreSQL n.b - most of the engineering team didn't know RoR before joining, so no worries if you don … modernise and stay ahead of the curve, so they're seeking a strong SWE with a passion for AI to help them on this journey. You could be an LLM wizz, you could've scaled AI products, you could've created some personal projects - you just need to be passionate about everything Gen AI. In this role you'll be More ❯

with automation platforms (e.g. n8n, Zapier, Make) and event driven systems Solid knowledge of backend development (language flexible, but JavaScript/TypeScript or Python preferred) Hands on experience with LLM integration and prompt orchestration for text, image, and video use cases Practical experience with voice agents and speech synthesis APIs A self starter who thrives on autonomy and enjoys solving More ❯

drive technical excellence across research and production environments. Ideal Profile 5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g. More ❯

people to join our ever-growing talented team. We’re spinning up a brand-new AI department and need a first-on-the-ground engineer who can turn wild LLM ideas into working demos overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold … in code reviews, architectural discussions, and sprint planning to deliver features end-to-end. Requirements: Master’s degree in AI and/or Computer Science; Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain … in business terms. Nice-to-have: Familiarity with database systems (PostgreSQL, MongoDB) and caching layers (Redis); Open-source contributions or published AI demos; Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs; Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE); Willingness to travel occasionally for team offsites or workshops. More ❯