76 to 100 of 2,799 LLM Jobs in England

production. High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex. 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 ...

optimize retrieval, and drive data‐driven decision‐making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills: Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building ...

production. High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex. 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 ...

when to apply their own judgement. Good communication skills and the ability to work across teams. Nice to haves Experience with AI platforms or LLM APIs such as Anthropic, OpenAI or Microsoft Foundry. Experience running a multi-cloud setup (Azure and GCP). Experience with zero-trust networking or tools ...

FastAPI, SQLAlchemy, Redis, Dash or similar frameworks and tools would be advantageous. Exposure to prompt engineering, retrieval‐augmented generation, agentic solutions, vector databases or LLM optimisation techniques would be advantageous. Understanding of AI safety, data privacy, governance and responsible AI considerations would be advantageous. Experience with background workers, queues, asynchronous ...

ability to build production‐grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands‐on experience with LLM‐based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

handling large data volumes Develop and integrate APIs, microservices, and distributed systems Deploy and manage applications within Microsoft Azure environments Integrate applications with LLM-based services, Agentic AI workflows, and AI-driven platforms Work with containerised solutions using Docker and cloud-native deployment approaches Support and enhance CI/ ...

TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL) Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD Strong focus on automated testing ...

Real, demonstrable experience designing and building agentic AI solutions that have gone live and are genuinely used, rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel,LangChain,LangGraph,AutoGenorCrewAI, and with core agent patterns including tool ...

Data Science and ML lifecycle, including feature engineering, model training, monitoring, and MLOps Working knowledge of GenAI technologies, including RAG, MCP, vector databases, LLM providers, agentic workflows, and LLMOps Experience with cloud-native technologies across AWS, Azure, or GCP, including their Data and AI services Understanding of data governance, responsible ...

solving skills with strong ownership across the SDLC.Generative AI & ML Requirements Experience building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning. Nice to have Highly desirable ...

technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. ...

approaches. Cross-Disciplinary Knowledge Working knowledge of data analytics, data engineering, and data science practices. Understanding of Generative AI applications, including RAG architectures and LLM integration. Familiarity with cloud platforms, data governance, and security considerations. Proven ability to facilitate workshops and gather requirements from diverse stakeholders. Experience creating clear, compelling ...

relevant experience Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience). Python and software-engineering fundamentals; LLM/RAG/agents/prompt engineering literacy (depth scales with level). Containers/orchestration (Docker, Kubernetes, OpenShift) and CI/CD as level requires. ...

demonstrations and stakeholder playbacks. Ability to create and prioritise use-case backlogs, develop estimates and shape pragmatic delivery roadmaps. Understanding of agentic AI concepts, LLM solution patterns, prompt engineering, evaluation, grounding and responsible AI controls. Experience integrating solutions with enterprise systems, data sources, APIs and workflows. Strong client-facing communication ...

concurrent systems, knowing the tradeoffs between stateful/stateless and synchronous/asynchronous architectures. You have knowledge and experience with LLMs and building LLM based applications. Experience with agentic frameworks and designing agentic-based workflows. You have experience working with product teams helping to build out their ideas in production. ...

ArgoCD) Build self-service developer frameworks and landing zones, hands‐on with Terraform and Helm Architect platforms that host and serve generative AI systems (LLM hosting, LLM gateways, agentic workflows) Guide legacy application modernisation, microservices migrations, and API integrations Implement security end‐to‐end across the platform: security tooling built …/CD pipelines, Git‐based workflows, and microservices/API architectures Practical experience with observability stacks (Grafana, Prometheus, OpenTelemetry) Experience with generative AI platforms: LLM hosting, LLM gateways (e.g.LiteLLM, Portkey, Kong AI Gateway), and MLOps/LLMOps practices for deploying and monitoring AI systems in production Strong stakeholder communication, translating ...

client is a global professional services and technology consultancy. AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power … enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience ...

client is a global professional services and technology consultancy. AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power … enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience ...

proficiency in Python and/or TypeScript/Node.js, with a commitment to writing clean, testable and maintainable production code. Strong practical understanding of LLM architectures, agentic workflows, tool calling, RAG, embeddings, vector databases and hybrid retrieval techniques. Experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vercel ...

contribution with people leadership and delivery ownership. Strong hands-on AI/ML engineering background, with extensive Python experience and confidence reviewing code across LLM, agentic, NLP and classical ML systems. Hands-on experience with modern agent frameworks such as Strands Agents, LangGraph or the Claude Agent SDK, and with ...

data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems. #J-18808-Ljbffr ...

relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience collaborating with data scientists #J-18808-Ljbffr ...

team rapidly. The team works end-to-end, from applied R&D to deployment, across deep learning, data engineering, large models and LLM/agentic systems. Our work spans R&D contracts with the MOD and wider government, deploying ML onto edge and embedded hardware, and the assurance and testing ...