151 to 175 of 241 LLM Jobs in Central London

At a Glance Capsa is an AI platform that accelerates due diligence and deepens insights for Private Equity funds. We are hiring senior software engineers who are comfortable contributing across all layers of the application and developing features end to More ❯

Euphoric Global - there's nothing average here. We’re a home for the gifted, the obsessives, and the corporate misfits. About us We move fast, build bold, and leave bureaucratic BS in the dust. We’re AI-first, heart-forward More ❯

Senior Software Engineer (Python) Hybrid London (1–3 days per week) Up to £80,000 + Benefits Are you a passionate Python engineer who thrives on building scalable, high-quality software? We’re working with a multi-award-winning digital More ❯

Front Office Gen AI Quant – Leading Investment Bank Contract – 6–12 Months Rolling | London | Start: Q1/26 We are supporting a top-tier investment bank seeking an experienced Gen AI Expert with a Front Office Quant back ground to More ❯

Job Title: Lead Data Engineer Location: London (Hybrid) Contract: 6 Months (Potential Extension) Start Date: ASAP About the Client Our client is transforming their industry by replacing cigarettes with innovative, smoke-free alternatives. They are leveraging technology, data, and AI More ❯

Lead AI Engineer – Defence AI – (Hybrid) – upto £140k Are you a s Senior or Lead AI Engineer with experience developing GenAI products from research? We’re a 5 year old consultancy, working on the forefront of Agentic AI, developing solutions More ❯

driving global scientific progress. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You have extensive experience in LLM orchestration, including hands-on use of major LLM APIs and frameworks such as LangChain or LlamaIndex, or you’ve built custom agent frameworks from scratch. You understand intelligent information retrieval More ❯

Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise data More ❯

robust, reliable, and user-focused AI services across our business. What You’ll Do Design and implement a comprehensive AI testing and evaluation framework for all AI solutions, including LLM-based tools, RAG systems, and third-party platforms. Define and document quality standards for semantic accuracy, factual consistency, bias, tone, and relevance. Develop reusable testing templates, data sets, and evaluation … practices to ensure fairness, transparency, and user trust. What You’ll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches More ❯

of applied research, platform integration, and engineering-minded data science. What You’ll Be Doing Build and deploy a wide variety of models spanning classification, regression, propensity scoring, and LLM-based use cases Spearhead the entire company’s GenAI efforts. The team have multiple LLM projects running but would love a technical leader in this area Own the end-to … to both traditional ML and generative AI Strong belief in data science as a product, not just a modelling function Clear evidence of commercially successful/or centrally impactful LLM based work for previous companies. Proven track record deploying real-time models into production environments Technical depth in Python, software engineering principles, and deployment tooling Familiarity with experimentation frameworks and More ❯

Senior Software/Platform Engineer (LLM/AI Interest) | Brand new AI Platform 💰 £120,000 - £130,000 📍 London - 4 days a week in office (Paddington) 🛠️ Python, GCP, Kubernetes, Terraform, CI/CD, AI/LLM interest Here at Burns Sheehan, we’re working with a leading UK tech business in the payments and financial services space - processing billions in transactions … at scale. Automating infrastructure/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background … Python, Java or Go. Experience with Kubernetes, Terraform, and cloud environments (GCP preferred). Understanding of microservices, distributed systems, and cloud-native architecture. Interest or experience in AI infrastructure, LLM tooling, or AI platform enablement. A collaborative engineer who enjoys problem-solving and contributing to technical direction. If you’re interested in helping build real AI infrastructure within a fast More ❯

to work at the cutting edge of generative AI — turning research into production-ready systems that make a real business impact. What you’ll be doing Designing and deploying LLM-powered agents end-to-end — from research to production. Developing tools, frameworks, and annotation workflows to refine agent behaviour. Defining what “ production-quality code ” means for LLMs and teaching agents … we’re looking for 2+ years’ hands-on experience in ML/AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master’s (or equivalent experience) in Computer Science, AI … ML, or related field. ⭐ Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research. 📩 Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation . Send CV to kacey.norris@experis.co.uk for immediate consideration. More ❯

Research Engineer – Foundation Models | London (On-site) We’re partnering with a stealth-mode deep tech AI lab based in London that’s building foundation models from the ground up . This isn’t fine-tuning or prompt engineering, it More ❯

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback More ❯

is an opportunity to join early , help shape the product , and work on real-world AI applications with direct impact across industry and infrastructure. Role: Designing, training, and deploying LLM-based models for industrial use cases Building scalable Python pipelines for data processing and model integration Collaborating with software engineers to integrate AI into production systems Exploring and implementing emerging … AI techniques to enhance product capability Remote first model Experience: Master’s degree in a Computing or AI-related discipline Strong Python skills and experience with machine learning or LLM frameworks (such as PyTorch, TensorFlow, or Hugging Face) Enthusiasm for building AI systems from the ground up in a small, ambitious team This is a chance to be part of More ❯

Applied AI Solution Engineer £100,000-£140,000 + Benefits Depending on Experience London with Flexible Working Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you want to work with some of the More ❯

Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across systems Collaborate with a small, elite team of engineers and AI researchers 💼 About You 4+ years of backend experience (Python … distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset Excited by ambiguity, ownership, and building from zero to one Ideally: background in workflow automation, process analytics, or user-driven tech platforms More ❯

Role: Senior Product Engineer Location: London - Hybrid (1-2 days) Compensation: Up to £140,000 + equity We’re working with a mission-driven technology company using AI to solve some of society’s toughest challenges. As a Senior Product More ❯

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from More ❯

Azure Foundry to deploy and manage test environments. Create and manage Docker containers for isolated and reproducible test setups. Collaborate on the development of Agenti AI solutions using various LLM models hosted on Azure Foundry. Apply service virtualisation techniques to simulate unavailable or third-party services during testing. Debug complex issues in Java and Node.js applications, providing detailed root cause … Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

Azure Foundry to deploy and manage test environments. Create and manage Docker containers for isolated and reproducible test setups. Collaborate on the development of Agenti AI solutions using various LLM models hosted on Azure Foundry. Apply service virtualisation techniques to simulate unavailable or third-party services during testing. Debug complex issues in Java and Node.js applications, providing detailed root cause … Experience in building automation frameworks from scratch. Preferred Qualifications: Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

Azure Foundry to deploy and manage test environments. Create and manage Docker containers for isolated and reproducible test setups. Collaborate on the development of Agenti AI solutions using various LLM models hosted on Azure Foundry. Apply service virtualisation techniques to simulate unavailable or third-party services during testing. Debug complex issues in Java and Node.js applications, providing detailed root cause … Experience in building automation frameworks from scratch. Preferred Qualifications: ·Certifications in testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. ·Experience with AI/ML technologies and LLM integration is highly desirable. · Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

🚀 Hiring: Sr ML Engineer | Series B | On track for Unicorn Status 💷 Up to ~£115,000 🌍 London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how More ❯

Do you want to lead AI-powered investigations that reshape how financial institutions fight fraud and financial crime? Have you managed complex forensic or risk programmes that blend data, analytics, and compliance? Ready to help global clients automate investigations and More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into More ❯