326 to 350 of 586 LLM Jobs in London

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Full Stack Software Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Full Stack Software Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making More ❯

Python Engineer £750 - £800 per day 2 days onsite We're working with a global healthcare and AI research organisation that's pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their More ❯

AI Engineer | AI Tech Start-Up | £60,000-£85,000 DOE + Share Options | London/Hybrid We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented AI More ❯

AI Engineer | AI Tech Start-Up | £60,000-£85,000 DOE + Share Options | London/Hybrid We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented AI More ❯

Senior AI Software Engineer - London (3 days a week) - up to £150K plus equity London based - 3 days a week Visa sponsorship is available Salary up to £150K with equity on top A venture-backed Fintech company is looking to More ❯

· 15+ years of IT experience, with at least 5+ years in an enterprise architecture role and 3+ years in AI/ML, including practical experience with Agentic AI systems and Generative AI. · Deep expertise in enterprise architecture frameworks (e.g., TOGAF More ❯

Senior AI Software Engineer - London (3 days a week) - up to £150K plus equity London based - 3 days a week Visa sponsorship is available Salary up to £150K with equity on top A venture-backed Fintech company is looking to More ❯

· 15+ years of IT experience, with at least 5+ years in an enterprise architecture role and 3+ years in AI/ML, including practical experience with Agentic AI systems and Generative AI. · Deep expertise in enterprise architecture frameworks (e.g., TOGAF More ❯

Python Engineer £750 - £800 per day 2 days onsite We're working with a global healthcare and AI research organisation that's pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their More ❯

Backend Software Engineer (AI) £750 - £800 per day 2 days onsite We're working with a global healthcare and AI research organisation that's pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing More ❯

by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language … Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands on experience and solid understanding of machine learning and deep learning methods. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy More ❯

science, and strategic simulation. The Role As an AI Engineer, you'll build the systems that bring our AI agents to life and scale the infrastructure that powers our LLM-driven synthetic populations. You'll design agent cognitive architectures, implement context engineering and memory systems, while ensuring these AI systems can operate reliably at scale in production environments. This role … deploy them in enterprise settings. What You'll Do Architecture & Development : Design and implement the cognitive systems that give AI agents consistent personalities, memory, and reasoning capabilities, using advanced LLM techniques like chain-of-thought prompting, RAG systems, and agentic tool use. Modeling & Experimentation : Design and run systematic experiments to evaluate agent behavior, test hypotheses about behavioral patterns, and iterate … on model architectures based on empirical results and validation against real-world data LLM Engineering : Build sophisticated prompting strategies, behavioral frameworks, and decision-making systems that enable agents to exhibit realistic human-like behavior across diverse scenarios and demographics. Scalable Infrastructure & Optimization : Architect and deploy backend services that orchestrate large-scale agent simulations, balancing behavioral sophistication with computational efficiency while More ❯

science, and strategic simulation. The Role As an AI Engineer, you'll build the systems that bring our AI agents to life and scale the infrastructure that powers our LLM-driven synthetic populations. You'll design agent cognitive architectures, implement context engineering and memory systems, while ensuring these AI systems can operate reliably at scale in production environments. This role … deploy them in enterprise settings. What You'll Do Architecture & Development : Design and implement the cognitive systems that give AI agents consistent personalities, memory, and reasoning capabilities, using advanced LLM techniques like chain-of-thought prompting, RAG systems, and agentic tool use. Modeling & Experimentation : Design and run systematic experiments to evaluate agent behavior, test hypotheses about behavioral patterns, and iterate … on model architectures based on empirical results and validation against real-world data LLM Engineering : Build sophisticated prompting strategies, behavioral frameworks, and decision-making systems that enable agents to exhibit realistic human-like behavior across diverse scenarios and demographics. Scalable Infrastructure & Optimization : Architect and deploy backend services that orchestrate large-scale agent simulations, balancing behavioral sophistication with computational efficiency while 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 exposure/interest Here at Burns Sheehan, we’re working with a leading UK tech business in the payments and financial services space - processing billions … 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 ❯

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 exposure/interest Here at Burns Sheehan, we’re working with a leading UK tech business in the payments and financial services space - processing billions … 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 ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage … ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage … ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage … ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage … ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage … ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding More ❯

Machine Learning Specialist III Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is More ❯

Machine Learning Specialist III Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is More ❯

Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills, with the ability to translate … the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector AI standards BPMN More ❯

Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills, with the ability to translate … the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector AI standards BPMN More ❯