926 to 950 of 1,587 LLM Jobs in England

AI Systems Architect London (Hybrid) Up to £120k DOE + bonus + equity options On behalf of a client, we’re looking for an experienced AI Systems Architect to design and deliver next generation AI and agentic systems for enterprise More ❯

AI Systems Architect London (Hybrid) Up to £120k DOE + bonus + equity options On behalf of a client, we’re looking for an experienced AI Systems Architect to design and deliver next generation AI and agentic systems for enterprise More ❯

Software Engineer AI & Data Systems £40,000 to £90,000 (DOE) + performance bonus Permanent Hybrid UK nationals only | Must hold SC clearance About the Role An innovative UK technology company is developing a next-generation AI platform designed for 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 ❯

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 ❯

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 ❯

Location: London The opportunity At EY-Parthenon, our unique combination of transformative strategy, transactions, tax and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we More ❯

Overview BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock More ❯

The Role This is an exciting opportunity for a Senior AI Engineer to lead a small, high-performing team researching and applying cutting-edge advances in artificial intelligence. You will bridge the gap between state-of-the-art AI research More ❯

and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for an experienced engineer who can … deliver real-world AI systems at scale. The Role The successful candidate will design, deploy, and maintain production-grade AI and LLM systems, ensuring stability, scalability, and measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including … moving, start-up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for an experienced engineer who can … deliver real-world AI systems at scale. The Role The successful candidate will design, deploy, and maintain production-grade AI and LLM systems, ensuring stability, scalability, and measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including … moving, start-up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment More ❯

Join us as a Model Risk Data Scientist If you have experience building and validating machine learning models, this is a fantastic opportunity join our innovative, vibrant team in our Risk function You'll be performing technical reviews and oversight 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 ❯

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 ❯

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 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 ❯

Data Scientist (LLMs) Location: Manchester, UK (Hybrid 3 days in the office) Build the Future of AI-Powered Communication Were looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. Youll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment. What … Youll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation datasets to test safety, prompt following, and conversational quality. … Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What Were Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from More ❯

Scientist (LLMs) Location: Manchester, UK (Hybrid – 3 days in the office) Build the Future of AI-Powered Communication We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment. … What You’ll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation datasets to test safety, prompt following, and … conversational quality. Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real More ❯

Scientist (LLMs) Location: Manchester, UK (Hybrid – 3 days in the office) Build the Future of AI-Powered Communication We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment. … What You’ll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation datasets to test safety, prompt following, and … conversational quality. Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real More ❯

Scientist (LLMs) Location: Manchester, UK (Hybrid – 3 days in the office) Build the Future of AI-Powered Communication We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment. … What You’ll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation datasets to test safety, prompt following, and … conversational quality. Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real More ❯