351 to 375 of 847 LLM Jobs in England

AI Solutions Engineer £90,000 to £105,000 | London | Hybrid (3 days per week in office) Are you a hands-on AI Engineer who enjoys building and deploying real-world AI solutions rather than simply ...

engineering background with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure … Experience in Telco or Financial Services Set yourself apart Certifications in AWS, GCP, Azure or Anthropic AI platforms Open-source contributions to agentic or LLM tooling Contact centre platform experience (e.g. Genesys, Sierra, Decagon, Parloa, PolyAI, NICE Cognigy, Agentforce Contact Centre and Amazon Connect) EU AI Act or AI governance ...

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Software Engineer, Full-Stack ...

Technologies C# .NET Entity Framework JavaScript React Vue.js Windows Presentation Foundation (WPF) REST APIs Microservices architecture AI & Data Technologies AWS SageMaker Large Language Model (LLM) integrations AI-assisted analytics solutions Python-based data analysis tooling Architecture & Governance Enterprise cloud architecture Security architecture and secure-by-design principles Technical assurance ...

Offensive Security Engineer - LLM & Penetration Testing - BANKING CLIENT - LONDON Location: London - Hybrid (8 days onsite per month) Contract: 12 months (initial) Day Rate: Competitive, depending on experience €500 - €800 per day IR35 Status: Inside IR35 - MUST USE UMBRELLA The Opportunity We are looking for a hands-on AI Offensive Security … improve testing capabilities. Essential Skills & Experience We are particularly interested in candidates who combine strong offensive security fundamentals with practical experience using AI or LLM technologies. Minimum 3 years' experience in Application Security, Penetration Testing, Offensive Security or Security Engineering. Strong hands-on experience with SAST, DAST, vulnerability assessments ...

research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist ...

industry forums)Good combination of creative and analytical skills, able to deliver complex documents and "connect the dots". Might haves: Experience in AI (LLM) security, guardails, DLP, understanding of risk such as Prompt Injection and Model Poisioning etc. Good understanding of Telecoms Security Act requirements, contained with the Code ...

industry forums) Good combination of creative and analytical skills, able to deliver complex documents and "connect the dots". Might haves: Experience in AI (LLM) security, guardails, DLP, understanding of risk such as Prompt Injection and Model Poisioning etc. Good understanding of Telecoms Security Act requirements, contained with the Code ...

take complex models from research through to production.ð§ The technical challenges: Design, develop and optimise advanced ML models for demanding real-world applicationsBuild LLM-based agents capable of reasoning, planning and executing complex tasksWork across multimodal learning, computer vision and real-time sensor dataImprove model performance, inference efficiency and reliabilityTake ...

content. Experiences for people and agentsEnsure the website is useful and understandable to human visitors, search engines and AI assistantsPartner with the SEO and LLM Discoverability Lead to improve how Thoughtworks is found, interpreted and represented to support buyers in their decision making processShape requirements for structured content, metadata, evidence ...

Oréal), this SaaS platform is completely redefining how enterprise brands scale growth across affiliates, influencers, and creators. With massive product innovation (including cutting-edge LLM/AI visibility tools) and a recent landmark industry partnership that cements their market monopoly, they are expanding their elite London sales team. This ...

coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time.You have sound technical judgementYou can reason about systems, APIs, data flows, permissions and failure modes. You understand ...

technical ability, ambition, and drive to match.ð As an AI Engineer, you'll be building at the intersection of engineering, AI, and product: AI & LLM Engineering – building AI-native workflows and intelligent systemsProduct Engineering – solving real problems and delivering meaningful outcomesRapid Execution – shipping features quickly, iterating, and continuously improvingEnd ...

deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale. You will sit at the intersection of strategy and delivery, operating across … credible technical example for the engineers and data scientists you guide. Required skills & experience: Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment. Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably. ...

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 ...

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 ...

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 ...