26 to 50 of 2,433 LLM Jobs in England

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning Deep practical understanding of machine learning algorithms, natural ...

evaluation, packaging, and production deployment. Deploy Large Language Models (LLMs) and generative AI workloads using advanced inference engines (e.g., Triton Inference Server, vLLM, TensorRT-LLM). Enable automated model validation, monitoring for model drift, data drift, and latency bottlenecks. Monitor and optimise cloud spend across high-cost GPU/ ...

know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It’s all live lectures, tutor-led group work and real-world challenges from ...

know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing Your personal learning plan could include Up to three Stanford Artificial Intelligence Professional Programmes ...

know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from ...

know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from ...

Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous ...

Generative AI solutions in production environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph ...

Generative AI use cases. Design and build APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement ...

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 ...

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 ...

experience with PyTorch, TensorFlow, and Hugging Face Experience taking AI proof-of-concepts from idea to production Strong knowledge of deep learning, NLP, and LLM architectures Experience fine-tuning LLMs or training domain-specific models, and with RAG, embeddings, and vector databases Familiarity with agentic AI concepts and orchestration frameworks ...

distributed system integration Hands-on experience with cloud platforms (Azure/AWS/GCP) and deployment architectures Proven experience working with Generative AI/LLM-based systems in production environments Strong problem-solving and system-level debugging skills Effective communication skills , including ability to engage with customer and internal stakeholders ...

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 ...

Hugging Face, OpenAI APIs etc) Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment) and LLM‐specific challenges (prompt engineering, latency, cost optimisation, hallucinations, evaluation) Experience with cloud platforms (AWS, GCP, Azure) and infrastructure‐as‐code (Terraform etc). Hands ...

advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker and other business intelligence toolsConsulting, Communication & Leadership:Ability to work effectively with both business and technical stakeholders.Strong communication ...

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 ...

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 ...

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 the modern enterprise. This is a deeply technical, hands-on role … cloud vendor. Practical experience in the Agentic,LLMand Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience ...

part of a broader project team, remotely or face to face, and confident challenging established approaches. Desirable Experience: Experience running AI/LLM solutions in production at scale, including evaluation frameworks, guardrails and cost management. Experience designing or orchestrating multi‐agent workflows, and familiarity with agent protocols (e.g. ...

Degree‐educated in Computer Science or Data Science or equivalent practical experience with proven ability to adapt small/large language models (SML/LLM) for domain‐specific contexts. What sets this company apart: MUFG stands out as one of the world’s leading financial institutions renowned for its commitment ...

even thebotsdon’tknow yet). You’llcover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering,customisationand integration Generative and Agentic AI MLOps& cloud computing It’sall live lectures, tutor-led groupworkand real-world challenges from day one. Learn ...

Drive – the operating manual for how we behave. AI & Machine Learning Experience Deploying and operating machine learning models within enterprise environments. Experience with LLM-powered applications, agent frameworks and retrieval systems. Familiarity with prompt engineering, evaluation frameworks and AI safety controls. Experience with reinforcement learning, fine-tuning or model customisation ...

Agentic AI systems into production environments Expertise in Python engineering for APIs, microservices, testing and CI/CD workflows Strong working knowledge of LLM capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel) Proven experience ...