376 to 400 of 586 LLM Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become 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 ❯

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 ❯

expectations. Technical Delivery: Design, implement, and document end-to-end data and GenAI solutions using open-source and cloud-based components. Develop and maintain data pipelines, vector databases, and LLM integrations. Configure and optimize solutions on Microsoft Azure Cloud. Ensure adherence to best practices in architecture, security, and scalability. Documentation: Produce clear, high-quality documentation of system designs, configurations, and … with a collaborative, mentoring mindset. Hands-on experience with open-source technologies across front-end and back-end systems. Proficiency in data pipelines, vector stores, and Generative AI/LLM implementations. Working knowledge of Microsoft Azure Cloud services, including configuration and deployment. Strong documentation and reporting skills. Desirable Current DV Clearance (Developed Vetting) or willingness to undergo DV clearance process. More ❯

*Earn up to $15/hour performance bonuses. Work remotely and flexibly.* Outlier, a platform owned and operated by Scale AI, is looking for* English speakers* to contribute their expertise toward training and refining cutting-edge AI systems. If you 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 ❯