51 to 75 of 241 LLM Jobs in Central London

JavaScript/TypeScript (Node.js) Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms ( GCP , AWS , or similar) Familiarity with LLM or AI APIs Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) Practical experience with databases (SQL/NoSQL) Strong foundation in software design principles and systems thinking Comfortable working More ❯

years’ experience in software engineering, with hands-on delivery of production-grade solutions. Strong expertise in Python, data processing, and microservices . Experience with large-scale distributed systems and LLM applications. A blend of hands-on engineering and leadership skills — able to both build and guide. Excellent communicator with the ability to engage both technical and non-technical audiences. A More ❯

that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) LLM's Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world More ❯

toolchains — not model training or fine-tuning. You’ll help build intelligent, explainable, and secure systems that solve real customer problems. 🧩 What You’ll Be Doing Design and deploy LLM-powered solutions on top of our core agentic AI platform Build task-oriented AI workflows using pre-trained LLMs, embeddings, vector search, and tool integrations Extend and adapt platform capabilities More ❯

Python (FastAPI, Flask, or Django) Integrate AI-generated code into production-ready services Take ownership of projects from idea to production — collaborating across product and AI teams Experiment with LLM- and agentic-coding workflows to accelerate development Who You Are: 5+ years of experience in back-end development (Python based stack ideally) Strong understanding of API design and systems architecture More ❯

Do you want to get on the AI train? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers More ❯

strategies, with full ownership from design to deployment. Responsibilities Develop and maintain the quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate More ❯

deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for More ❯

Own backend features and API integrations (Python, FastAPI, gRPC, SQL) Adapt and extend auto-generated pipelines and front-end outputs Build connectors for APIs, files, and external systems Integrate LLM-based capabilities with robust evaluation and monitoring Champion AI-assisted development practices and tools Set up guardrails and context packs for AI-powered workflows Mentor team members on AI development More ❯

research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and prioritisation. More ❯

drive data collection: specify 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 pipelines: ingest simulation + tele More ❯

Senior AI Engineer to design, build, and deploy advanced AI and machine learning solutions for a leading research platform. This is a hands-on role focused on production-grade LLM applications, AI-enabled workflows, and augmented intelligence solutions. You will collaborate closely with engineering, research, analytics, and product teams to drive innovation and deliver impactful solutions. Key Responsibilities: - Data & Retrieval … Build ingestion pipelines for structured and unstructured data; design retrieval-augmented generation (RAG) systems; manage vector and keyword indexes; develop NLP and recommendation systems; implement metadata and tagging frameworks. - LLM & ML Applications: Develop and maintain ML and LLM models; build LLM apps with LangChain/LangGraph; apply multimodal AI, prompt engineering, fine-tuning, and model optimization; ensure scalable, reliable, and … contribute to architecture, POCs, and production services; mentor junior engineers; stay updated with AI/ML and domain trends. Skills & Experience: - Demonstrated hands-on experience building production AI/LLM applications. - Strong Python, API design, asynchronous programming, and integration skills. - Experience with ML/LLM frameworks (PyTorch, TensorFlow, scikit-learn, LangChain/LangGraph, LlamaIndex). - Familiarity with cloud deployment (Azure 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 ❯

in the office in London or Edinburgh ; 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 ❯

cleaning data all the way to 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 search, and RAG-based More ❯

end-to-end Ship fast and see your work used by real customers immediately Help define the technical architecture and product roadmap Experiment with AI-driven automation and large-language-model workflows Tech: TypeScript, React, Node, GraphQL, AWS, Temporal, LangChain (They're open to Engineers from any language background, as long as you're happy in this tech environment). More ❯

Excellent communication skills and the ability to produce clear technical documentation Enthusiasm for working in an early-stage, fast-moving startup environment Why Apply Work on innovative AI and LLM-driven products with real client traction Short-term engagement with long-term growth potential Opportunity for equity participation and lead developer involvement Interested? Apply now or reach out directly to More ❯

world impact. Experience in early-stage or startup environments is a plus. A “builder” mindset; you’re happiest when ideas turn into working systems. Key Experience: Agentic System Design LLM Engineering/Foundation Models Planning and Reasoning Scalable ML Infrastructure Reinforcement Learning (esp. RLHF/RLAIF) Simulation or feedback-driven adaptation Interview Process Initial Chat – Conversation with a Founder Technical More ❯

to code quality. Comfortable working on-site in a fast-paced, collaborative startup. Nice to Have Experience with data-heavy or high-throughput systems. Exposure to applied AI or LLM integrations (no model training required). Familiarity with GCP , especially IAM, networking, and security. Why Electric Twin Impact – Shape both the product and how we build it. Pace – We ship More ❯

Figma, Sketch, and Adobe Creative Suite Strong understanding of accessibility, rapid prototyping, and iterative design Experience or strong interest in AI-first platforms, workflow-based interfaces, or text/LLM interactions Confident communicator who can bridge creative and technical discussions Based in London or open to relocation (onsite role only) You’ll Fit Right In If You Love designing products More ❯

to work effectively in a team Understanding of monitoring and alerting best practices using metrics and logs, with a particular focus on GenAI pipelines (e.g. Langsmith/Langfuse) and LLM-as-a-judge a plus Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

world problems with the latest in AI and 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 backend and More ❯

Do you want to enhance your AI experience? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers who More ❯

pragmatic about using the right tool for the job Have led complex engineering projects from concept to delivery Thrive in fast-paced, high-agency startup environments Bonus: experience with LLM applications If you’re excited by the idea of building the simulation layer for intelligent agents, this is one of those rare moments where you can shape an entirely new More ❯

Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with More ❯