101 to 125 of 2,799 LLM Jobs in England

Kubernetes (AKS), Nginx Architecture: Microservices, Event‐driven patterns, Clean Architecture Observability and Monitoring: Grafana, Loki, Sentry, PostHog AI and Agentic Tooling: AI coding agents, LLM‐assisted workflows, MCP integrations Tooling and Practices: Git, CI/CD pipelines, Agile and lean delivery Data and Python: Python for data processing, pipelines ...

platforms, self-service golden paths and platform-as-a-product to abstract away cloud complexity for engineering teams. Practical experience using AI agents/LLM-based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely. Strong security engineering mindset with hands ...

Hands-on experience in Data, Analytics, and AI, with a track record of delivering or selling AI/ML and Generative AI solutions (e.g., LLM-based applications, document intelligence, predictive modelling) in a regulated enterprise setting. Strong understanding of cloud data platforms and their application in analytics and AI (e.g. ...

cloud-based applications and services using AWS and other cloud platforms.Integrate applications with data pipelines, enterprise systems and external services.Build AI-powered features, including LLM integrations, prompt orchestration and tools that connect AI agents with data and services.Contribute to architectural and technical decisions, evaluating frameworks, tools and implementation approaches.Develop proof ...

with a focus on outcomes rather than models alone Insurance, reinsurance, financial services, or other regulated industry experience is desirable Experience with Generative AI, LLM applications, agentic systems Exposure to mentoring or coaching other data scientists and technical practitioners Why Join Howden? At Howden, we are building data ...

emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using ...

certification on software engineering concepts and proficient advanced experience. Recent hands-on experience as a back-end software engineer, especially with customer-facing, LLM-powered microservices Proficiency in Java and Python programming languages Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance) Excellent written and verbal ...

compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets, features and analytical outputs through ...

e.g. OpenAI) and have at least a working feel for cost, latency, context windows, and rate limits. An awareness of how building and evaluating LLM systems differs from traditional software, and an interest in getting good at it. Familiarity with, or genuine curiosity about, vector databases, embeddings, and retrieval techniques ...

experience, with at least one production AI, data engineering, or enterprise integration system deployed to production. Hands-on AI & Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data. Multi-Agent Systems & API Mastery: Practical experience with ...

combines strong software engineering fundamentals with hands‐on experience taking agentic AI beyond prototypes and into production. You’ll bring: Hands‐on experience building LLM‐based agents or agentic systems in production , ideally using orchestration frameworks such as LangGraph or LangChain , or equivalent systems you’ve built yourself. A strong ...

Azure (AWS also considered) API & Micro services integration Docker and containerised environments CI/CD and cloud-native development Experience working with AI/LLM technologies , OpenAI, Azure OpenAI, Lang Chain, Semantic Kernel, RAG, or Agentic AI frameworks What You'll Be Doing Building scalable, high-performance web applications Developing ...

Distributed Systems Required Experience 14+ years of overall IT experience. 5+ years in AI/ML solution architecture. 3+ years in Generative AI and LLM-based solution delivery. Experience designing enterprise RAG and Agentic AI solutions. Strong experience architecting secure and scalable AI platforms. #J-18808-Ljbffr ...

developments. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands‐on experience building LLM‐powered applications in production (RAG, tool‐augmented agents or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working ...

performance profiling and benchmarking. Solid understanding of secure coding practices, vulnerability management and security considerations in software delivery. Applied understanding of Generative AI and LLM patterns, particularly RAG. You should be able to explain and design an approach for document search or conversational interfaces over enterprise content. Strong written ...

GenAI. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements ...

tooling - such as LangGraph, LangChain, LlamaIndex, or CrewAI - and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part of a commerce or customer technology programme Familiarity with CI/CD pipelines, containerisation, and cloud-native deployment practices for production commerce ...

enabling content discovery and new AI-driven features across the Submission portfolio. We combine AWS, event-driven architectures, microservices, data science, and AI/LLM capabilities to build reliable, secure, and highly scalable Document Intelligence services. You'll work at the intersection of software engineering, data engineering, and AI, solving ...

testable, well-structured production code. Nice to Have Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS). Familiarity with AI/LLM systems and agentic workflow integration. Experience with Delta Lake, Unity Catalog, or other lakehouse governance and optimization tools. Prior experience with API gateway architectures, caching ...

tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part of a commerce or customer technology programme Familiarity with CI/CD pipelines, containerisation, and cloud-native deployment practices for production commerce ...

Good understanding of software engineering principles, including object-oriented development, testing practices, version control, code quality management, CI/CD deployment processes, containerisation, and LLM-assisted coding. Experience working with data processing and database technologies, including relational databases, query optimisation, performance tuning, monitoring, backup and recovery, and an understanding ...

Good understanding of software engineering principles, including object-oriented development, testing practices, version control, code quality management, CI/CD deployment processes, containerisation, and LLM-assisted coding. Experience working with data processing and database technologies, including relational databases, query optimisation, performance tuning, monitoring, backup and recovery, and an understanding ...

Large Language Model (LLM) Technology Lead/Principal Architect Career Level: Manager/Senior Manager/Associate Director YOU ARE As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete … deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Proven experience in the LLM and Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning ...

tagging, allocation, rightsizing, capacity planning, usage monitoring, and cost optimisation strategies. Support the evaluation and adoption of open‐source technologies and Large Language Model (LLM) solutions, ensuring alignment with security, privacy, licensing, regulatory, and operational requirements. Apply robust release management and production‐readiness processes, including automation, deployment governance, monitoring, alerting … technical and non‐technical audiences. Experience working within Agile, Scrum, and DevOps delivery frameworks. Experience evaluating, integrating, or operating multi‐vendor Large Language Model (LLM) workloads within AWS and Kubernetes environments is desirable. Previous experience in a highly regulated industry, particularly financial services or banking, is desirable. Familiarity with collaboration ...

particularly interested in candidates with experience in: Multi-agent architectures and agent-to-agent communication. Delivering AI solutions within enterprise or regulated environments. LLM observability, monitoring, tracing and evaluation frameworks. Contact Centre, Customer Experience, or enterprise workflow automation platforms. Why Join Us? This is an opportunity to help shape ...