401 to 425 of 941 LLM Jobs in the UK

application. The above information relates to a specific client requirement'We are looking for an AI Engineer to develop and optimise AI agents and LLM-powered applications that will help advance Accenture's Security Operations Centre (SOC) capabilities. Working closely with security engineers and SOC analysts, you will design, build … with security tooling and help accelerate threat detection and response. You'll bring strong AI engineering expertise, with hands-on experience building production-ready LLM applications, agentic workflows and RAG solutions. Previous cyber security experience is advantageous but not essential. We are at an exciting point in the evolution ...

engineering opportunities focused on building core services, features and capabilities for an enterprise-grade AI platform. You'll combine strong Python backend development with LLM integration, AWS cloud technologies and DevOps, working alongside experienced AI engineers, architects and platform specialists to deliver secure, scalable, production-ready AI applications. The role … Designing and developing Python backend services and APIs using FastAPI Building Generative AI, Agentic AI and LLM-powered applications Developing RAG architectures, prompt orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing ...

engineering opportunities focused on building core services, features and capabilities for an enterprise-grade AI platform. You'll combine strong Python backend development with LLM integration, AWS cloud technologies and DevOps, working alongside experienced AI engineers, architects and platform specialists to deliver secure, scalable, production-ready AI applications. The role … Designing and developing Python backend services and APIs using FastAPI Building Generative AI, Agentic AI and LLM-powered applications Developing RAG architectures, prompt orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing ...

into the opportunity and guidance at every stage. The Opportunity: 167Solutions is partnering with a leading global organisation to recruit an experienced AI/LLM Engineer for an exciting new Generative AI Innovation Lab. This is a unique opportunity to join a small, highly skilled team at the forefront … generative AI can transform digital products, content experiences and customer engagement. You'll play a key role in building, fine-tuning and deploying LLM-powered systems, with a particular focus on tone and style alignment, retrieval-augmented generation (RAG), and multimodal AI, including audio and voice technologies. This ...

large global insurer. This is a hands on tech lead role that blends strong Python engineering with DevOps enablement and integration of LLM technologies into secure, scalable enterprise environments. The ideal candidate will bring experience of leading engineering teams, practical AI development experience, strong automation skills, and the curiosity … core services, features and capabilities on an enterprise-grade Generative & Agentic AI application. Experience, and hands on, with Generative and Agentic AI patterns including LLM integration, RAG architectures, prompt-driven workflows, and orchestration of AI services and agents. Develop and optimise Python-based AI components including prompt orchestration, output validation ...

environment. This is a hands-on role requiring experience building production-ready GenAI applications rather than proof-of-concept solutions. You will work across LLM architecture, RAG frameworks, document intelligence, vector search, and AWS cloud-native AI services. Key Responsibilities Design and implement production-scale GenAI and LLM-powered solutions. … support CI/CD deployment pipelines. Essential Experience Generative AI & LLMs Proven experience designing and deploying production GenAI solutions. Experience building end-to-end LLM pipelines processing real customer documents at scale. Strong understanding of hallucination detection, output validation, confidence scoring, and model evaluation. RAG Architecture Experience designing Retrieval Augmented ...

scale AI-enabled solutions. In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You'll collaborate with engineering, product, data, security, risk, and business partners to help deliver … solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to Expect: Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance. Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation. Contribute ...

scale AI-enabled solutions. In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You'll collaborate with engineering, product, data, security, risk, and business partners to help deliver … solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to Expect: Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance. Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation. Contribute ...

Scientists. Strong hands-on AI/ML engineering background, with advanced Python skills and experience developing production-grade AI systems. Experience designing and building LLM-powered and agentic AI applications, including RAG, NLP and traditional machine learning solutions. Practical experience with modern agent frameworks such as LangGraph, Strands Agents … including multi-agent orchestration, agent memory, MCP-based tool integration and agentic RAG. Strong NLP expertise, including semantic search, summarisation, information extraction, classification or LLM fine-tuning. Experience developing shared AI platforms, internal MCP servers or reusable AI capabilities used by multiple engineering teams. Knowledge of vector search technologies such ...

improving agent performance and exploring new technologies to support the organisation's wider AI strategy. ESSENTIAL SKILLS Hands-on experience developing AI agents or LLM-powered applications Strong understanding of Generative AI, prompt engineering and RAG Experience with Python, SQL and API integrations Knowledge of cloud platforms, ideally Microsoft Azure … submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Engineer, Agentic AI, Generative AI, LLM, Large Language Models, Python, SQL, RAG, Prompt Engineering, Azure, APIs, AI Agents, LangChain, LangGraph, Claude, MCP, AI Automation ...

production deployment, monitoring and optimisation. Build predictive models for pricing, demand forecasting, customer propensity, personalisation and recommendation systems. Develop and implement GenAI and LLM-powered solutions to improve business processes and customer experiences. Apply MLOps best practices to ensure models remain scalable, reliable and effective in production. Partner with stakeholders … building, deploying and maintaining machine learning models in production. Strong understanding of MLOps, model monitoring, statistical modelling and experimentation. Practical experience developing GenAI/LLM applications. Experience with cloud-based ML platforms, ideally GCP/Vertex AI. Familiarity with Docker, Git, CI/CD and software engineering best practices. Strong ...

sector transformation programmes. We are looking for an experienced Python Developer who has moved beyond experimenting with Generative AI and has genuine experience engineering LLM-powered solutions for production environments. Working within multidisciplinary consulting teams, you will help organisations explore how AI can improve complex operational processes, information discovery … architects, consultants and frontend engineers. What you'll be doing: Engineer Python backend services and APIs using FastAPI and asynchronous development patternsDesign and integrate LLM capabilities using OpenAI, Azure OpenAI or comparable foundation modelsBuild practical RAG, enterprise search and document intelligence solutions using embeddings and vector databasesDevelop prompt strategies while ...

Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings … handling, retries, recovery, observability, security and performance optimisation. Required Expereince: Strong, hands-on Python software engineering experience. Proven experience delivering production-grade GenAI and LLM applications. Practical experience designing and implementing Agentic AI workflows using LangGraph. Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search. Experience with ...

Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings … handling, retries, recovery, observability, security and performance optimisation. Required Expereince: Strong, hands-on Python software engineering experience. Proven experience delivering production-grade GenAI and LLM applications. Practical experience designing and implementing Agentic AI workflows using LangGraph. Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search. Experience with ...

existing solutions while helping bring new AI capabilities into production. Key Responsibilities - Design, build and optimise production-grade AI platforms, RAG pipelines and LLM integrations. - Develop scalable cloud-native services and backend infrastructure using Microsoft Azure. - Improve the performance, reliability and latency of AI applications and retrieval workflows. - Manage infrastructure … scalability, reliability and performance. Desirable Experience - Building or supporting production AI applications using LLMs and RAG. - Experience with embedding models, vector search and LLM orchestration. - Familiarity with observability tooling such as OpenTelemetry. - Experience taking AI prototypes and proof-of-concepts into production. The Ideal Candidate A proactive engineer with ...

existing solutions while helping bring new AI capabilities into production. Key Responsibilities - Design, build and optimise production-grade AI platforms, RAG pipelines and LLM integrations. - Develop scalable cloud-native services and backend infrastructure using Microsoft Azure. - Improve the performance, reliability and latency of AI applications and retrieval workflows. - Manage infrastructure … scalability, reliability and performance. Desirable Experience - Building or supporting production AI applications using LLMs and RAG. - Experience with embedding models, vector search and LLM orchestration. - Familiarity with observability tooling such as OpenTelemetry. - Experience taking AI prototypes and proof-of-concepts into production. The Ideal Candidate A proactive engineer with ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

SENIOR AI ENGINEER Salary up to £100,000 On-site in Manchester city centre Python, Generative AI, RAG, LLMs, Agentic AI, Azure Opportunity to develop production-grade AI solutions Senior hands-on role with technical ...

team of AI Developers delivering enterprise-grade Generative and Agentic AI solutions Designing and developing Python and Java services, APIs and AI components Building LLM integrations, RAG architectures and agent-based workflows Developing prompt orchestration, output validation and AI evaluation capabilities Working with AWS services including Bedrock, AgentCore … good mix of: Strong Python, Java and FastAPI development experience Generative AI, Agentic AI and Large Language Models RAG architectures, prompt orchestration and LLM integration AWS cloud engineering, particularly Bedrock and AgentCore CI/CD, DevOps and engineering automation RESTful APIs, microservices and distributed systems Technical leadership and mentoring Experience ...

Senior ML Platform Engineer - Artificial Intelligence Location London Business Area Engineering and CTO Ref # 10049302 Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that ...

Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that CAS designs, builds and tests before a managed service vendor operates it. The team … software engineering with a relevant technical degree - domain focus: AI Engineering (AI platform and data fabric workstreams) Configuring AI platform environments and supporting LLM, agent and RAG pipeline builds - environment setup, embedding and vector index jobs, and evaluation runs Building and running test cases for AI components - prompt-injection, output ...

engineering processes and transform them into scalable AI-powered solutions. Design, implement, and maintain evaluation frameworks for AI systems, including regression testing, evaluation datasets, LLM-as-judge methodologies, and human-in-the-loop review processes. Ensure AI-powered software solutions meet the same standards for quality, reliability, security, and testing … building and deploying production-grade AI agents and agentic systems that solve real-world business challenges. Required experience developing evaluation and testing frameworks for LLM and AI-agent solutions, including regression testing, evaluation datasets, and model performance validation. Experience leveraging AI-assisted development practices and transforming manual engineering workflows into ...

heart of our AI platform. That means real-time inference APIs serving millions of customers, batch data products powering intelligent decision-making, and LLM-based agentic solutions spanning both customer-facing products and internal tools that shape how the wider team works. These are not simple systems - and building them … engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference APIs, batch data products, and LLM-based agentic solutions Collaborate closely with data scientists to move prototypes into high-quality production systems, maintaining quality and performance as complexity scales Drive team planning, estimation ...