126 to 150 of 3,011 LLM Jobs in England

field, or demonstrable relevant experience; Nice to have: knowledge of vector databases and retrieval strategies, experience with recommender systems and ranking models, familiarity with LLM evaluation tools such as RAGAS, TruLens, LangSmith, or Arize, understanding of cloud networking and platform infrastructure, experience in e-commerce or retail environments. Условия: Hybrid ...

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the ...

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the ...

The team you'll be working with: The Principal AI Architect is a senior technical advisor responsible for leading architecture on complex, strategic, and high-value AI pursuits. This role translates business problems into enterprise ...

real clientprogramsacross industries, building production-grade software that connects to and supports agentic AI systems understanding how your full-stack work integrates with agentarchitecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part … Responsibilities Use AI coding assistants daily as a standard part of delivery, actively,frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across ...

leadership. What we’re looking for Essential Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD). Applied‐AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless ...

into enterprise applications. Ability to evaluate and implement AI/ML-driven solutions that improve operational efficiency and business outcomes. Familiarity with prompt engineering, LLM integration frameworks, RAG architectures, and AI-powered automation. Excellent strategic thinking, problem-solving, and stakeholder management capabilities, with the ability to simplify complex technical concepts ...

related role. Strong practical experience using generative AI tools to improve analysis, documentation, coding, research, workflow automation, or business productivity. Working knowledge of LLM concepts, including prompting, context windows, retrieval, hallucination risk, structured outputs, model selection, and evaluation tradeoffs. Familiarity with applied AI patterns such as RAG, embeddings, vector search ...

delivery of the agentic AI strategy. Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications. Own end-to-end engineering lifecycle: architecture, build, deployment, and optimisation of AI services. Drive adoption of modern AI patterns including RAG, agent orchestration … Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs).Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. Proficiency in modern programming and automation (Python, PowerShell, REST APIs, IaC).Understanding of data platforms (CosmosDB, SQL, Redis ...

Comfortable working across an AI-enabled stack, with depth in some areas and willingness to grow others AI & Automation Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent) Understanding of agent patterns, orchestration, tool use, and LLM limitations Integration & APIs Experience with ...

Comfortable working across an AI-enabled stack, with depth in some areas and willingness to grow others AI & Automation Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent) Understanding of agent patterns, orchestration, tool use, and LLM limitations Integration & APIs Experience with ...

engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data science, or automation solutions. Hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React ...

Kubernetes, Helm, Terraform).· Knowledge of DevOps culture and practices. Experience and Skills (Nice to have)· Previous experience building a user-facing GenAI/LLM software application· Previous experience with vectors and embeddings (pgvector, chromadb)· Knowledge of LLM RAG/Agent core concepts and fundamentals· Experience with Neo4J, GraphQL ...

Working within the Insight Solutions group, the Insights Tech Lead is a hands-on technical leader responsible for identifying, designing and delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's ...

internal knowledge sharing and external thought leadership., Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD). Applied-AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless ...

Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector ...

Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards … cloud‐native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event‐Driven Architecture, and DevOps practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI ...

This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for ...

Agentic AI Software Engineer London (Hybrid Working) 12 Month Contract Inside IR35 Our client, a leading pharmaceutical organisation is looking for an experienced Agentic AI Software Engineer to join a team developing next generation AI ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

APIs, tooling, and bespoke logic Architecture & Standards Architect robust, scalable, and compliant Agentic AI solutions across industries Lead multi-agent orchestration, RAG pipelines, and LLM/SLM integration design Champion observability, telemetry, and auditable AI standards Build and maintain reusable frameworks and asset libraries Team & Product Help build and guide ...

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 ...

## Forward Deployment EngineerApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-018193**Main purpose**Trafigura is recruiting a hands-on Forward Deployment Engineer (FDE) to sit at the intersection of ...

other relevant enterprise platforms. Understand the foundations required for safe and scalable AI delivery, including identity, permissions, environments, data lineage, observability, evaluation, auditability, LLM access patterns and responsible AI controls. Work closely with Data Solutions & Architecture colleagues to ensure AI use cases are built on the right data foundations. Understand ...