101 to 125 of 2,433 LLM Jobs in England

such as Basel III, MiFID II, and the EU AI regulatory framework Experience designing and implementing Agentic AI solutions in regulated industries Knowledge of LLM applications for financial use cases such as document processing and chatbots Strong understanding of compliance-driven AI system design and transparency practices Solid grasp ...

software, SaaS platforms, or technically demanding application domains (scientific computing, real‐time systems, large‐scale data) Exposure to integrating machine learning, generative AI, or LLM‐based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from ...

technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required ...

Rollback Frameworks 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 ...

wanting to specialise in AI development. What you'll be doing Develop production-ready AI-enabled software applications. Build and maintain backend services supporting LLM and ML functionality. Integrate OpenAI, Anthropic and other AI models into enterprise software. Create scalable APIs and microservices for intelligent applications. Work with cloud infrastructure ...

testing, and refining data models using dimensional and relational approaches Curious mindset with a drive for continuous improvement Familiarity with prompt engineering principles and LLM‐based tools Effective communication skills to present data findings and support users Experience with ETL/ELT processes and architecture in data pipelines Experience building ...

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 ...

specific APIs. Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging. Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph ...

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 ...

specific APIs.* Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging.* Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions.* Support deployment and operation of AI platforms such as Vertex AI or similar.* Integrate with vector databases, graph ...

Large Language Model (LLM) Technology Lead/Principal Architect Career Level: Manager/Senior Manager/Associate Director 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 … designing & deploying enterprise grade advanced ai solutions using agentic,generativeand 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, deeplearningand NLP solutions ...

helping grow our AI Platform & Reliability Engineering capability.This will include:• AI Platform Strategy & Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid approaches ...

people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability ...

people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability ...

queues. Hands-on experience building and deploying AI applications in production environments. Experience implementing RAG pipelines , AI agent orchestration , and performance monitoring. Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety. What We Offer: You will be reporting directly to the founders, who have ...

related area. Practical experience using generative AI to support analysis, research, documentation, coding, automation or business productivity. A good understanding of large language model concepts, including prompting, context windows, retrieval, structured outputs, model selection and output evaluation. Familiarity with applied AI techniques such as retrieval-augmented generation, embeddings, vector search ...

work with business stakeholders and translate requirements into technical solutions. Desirable Skills & Experience Experience within financial services, banking or financial modelling environments. Experience with LLM-based applications and enterprise AI platforms. Experience implementing AI solutions in production environments. Experience with Azure AI services and Microsoft Copilot technologies. Experience working within ...

director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. ...

Prototype and help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution ...

people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands-on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts and practices, including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails ...

work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies. Experience integrating ...

infrastructure, or applied AI products. Deep expertise in Python, asynchronous programming, system design, and backend engineering fundamentals. Hands-on experience building production systems involving: LLM orchestration or agent frameworks (Pydantic, LangChain, custom orchestration). Data pipelines, ETL, embeddings, or vector search Retrieval-augmented generation (RAG) or model-backed workflows High ...

opportunity to build practical enterprise AI solutions and help accelerate software engineering through modern Generative AI and AI-assisted development. You'll work across LLM-powered applications, AI agents, copilots, workflow automation and RAG solutions, integrating AI services with enterprise platforms through APIs and microservices. You'll also contribute ...