151 to 175 of 1,178 LLM Jobs in England

solve real‐world problems. Excellent communication skills—clear, direct, persuasive across technical and non‐technical audiences. Even Better Experience building or deploying AI/LLM systems in production. Founder or founding engineer experience. Familiarity with AI agent tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering. Prior experience with ...

solid grasp of AI, solution design, and engineering best practices, with the judgement to assess feasibility and shape sound solutions. Comfort with Python, modern LLM and agentic tooling, including model APIs, retrieval-augmented generation, and agents, and SQL/data is expected; hands-on engineering experience is a plus. ...

robust and scalable AI solutions that solve real business problems. As a document intensive industry, you will be building production-ready Agentic AI/LLM systems that radically transforms Commodities Trading. This is a hands-on Individual Contributor role. Required Qualifications 5-8+ years of experience building production ...

agents can act on. Bonus points if you have Experience building MCP servers or exposing internal APIs as agent-callable tools. Experience with LLM evaluation: eval suites, behavioural test design, or benchmarking agent workflows. Functional programming in C# (LanguageExt - Either/Option patterns). CDC/event-driven ingestion (Debezium ...

confident and credible with customer engineering teams and senior technical stakeholders; clear written and verbal communication. Strong plus: experience building or integrating AI/LLM‐powered systems (agent workflows, orchestration, evaluation, vector DBs, guardrails), ideally in forward‐deployed or solutions engineering environments. Our Recruiting Process Talent Acquisition → Hiring Manager → Technical ...

understanding of how a payments or fintech business operates, including fraud, chargebacks, KYC/AML, and payment success rates. Comfort using AI‐assisted and LLM tools to accelerate analysis, and curiosity about building reusable skills that scale your impact. Exceptional communication and stakeholder skills. You can distill complex findings ...

Responsibilities Design & Deploy: Architect and launch robust, scalable, cloud-native AI applications. Agentic Workflows: Implement, optimize, and manage advanced agent-based AI workflows and LLM integrations. System Integration: Seamlessly integrate diverse AI platforms and tools into existing enterprise ecosystems. Production Excellence: Ensure all AI-driven systems are secure, performant ...

enterprise clients, with a proven track record of taking AI use cases from concept to production Strong understanding of AI agents, multi-agent systems, LLM orchestration, agent frameworks, RAG, MCP, AI governance, observability, and production-grade AI architectures Microservices, Cloud-Native, Event-Driven Architecture & Domain-Driven Design (DDD) AWS, Azure ...

Python software development experience. Hands-on experience with GenAI frameworks ( LangGraph , LangChain , LlamaIndex, or CrewAI). Proven background in API design, tool-calling, and LLM orchestration. Interested? Apply today with your updated CV to set up an initial call! Randstad Technologies Ltd is a leading specialist recruitment business ...

that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role ...

fast-paced, iterative environment. Desirable Experience Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS). Experience integrating AI/LLM-based services into production systems. Familiarity with modern development tooling such as VS Code and AI-assisted coding tools. Why Apply? Work on a genuinely ...

environments. Strong understanding of cloud governance and compliance. Desirable AWS Solutions Architect or similar certification. Experience with AWS Bedrock, Anthropic Claude, Generative AI or LLM technologies. Experience supporting cloud migration programmes. Knowledge of Enterprise Architecture frameworks and tooling. Reasonable Adjustments: Respect and equality are core values to us. ...

locked inside on-prem databases, servers, and CSV dumps. Data that their teams simply don't have the tools to leverage. By pairing modern LLM breakthroughs with reliable backend engineering, our client is changing that, transforming amorphous legacy data into clear, actionable insights for nontechnical teams on the ground. Working ...

into solutions that can be adopted more widely across the organisation. Qualifications Strong software engineering background with modern AI technologies. Hands‐on experience building LLM‐powered systems in production, including agents, RAG pipelines, MCPs, tool‐use and multi‐step workflows. Familiarity with frameworks such as LangGraph, Pydantic AI or similar. ...

Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands. Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors ...

expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production‐grade AI solutions, including RAG pipelines and LLM‐based applications Hands‐on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, Private ...

team to build credibility in relation to agentic systems development with partners. What we're looking for Strong understanding of agentic AI systems including LLM orchestration, tool use, memory patterns, planning and reasoning loops, and multi-agent coordination Proven experience in designing and developing agentic systems for production environments, including ...

with the ability to translate requirements between technical and business stakeholders. Experience designing scalable cloud architectures and integrating with enterprise systems. Familiarity with common LLM frameworks and tools or a background in machine learning or data science. Excitement for engaging in cross‐organizational collaboration, working through trade‐offs, and balancing ...

with any of the following would be helpful: Third-party API integrations AWS Lambda or serverless development Event-driven systems OpenAI, Anthropic or other LLM APIs Prompt engineering, MCP or agent patterns React PHP, Laravel, MySQL or DynamoDB Swift or SwiftUI You are not expected to have worked with everything ...

skills in product engineering, data engineer, cloud platform engineering who are looking to deepen their AI expertise. Understanding and hands‐on experience with LLM based applications and related technologies (e.g. RAG, vector databases, agent frameworks). Experience managing and deploying AI Agent and Knowledge Management systems is a plus (e.g ...

maintain documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining ...

solutions. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Rewards & Benefits TCS is consistently voted ...

Specialism You will bring expert‐level knowledge in at least one of the following domains, and working knowledge across the others. Agentic AI & LLM Engineering Design and build production‐grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM‐powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End‐to‐end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director … taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. ...

offerings #LI-EU SNGCR01 Qualification Required - Technical Skills Advanced Python - writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development - prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks - LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning … production - not just experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills - you debug fast and think in systems Comfortable working with messy, incomplete requirements ...