1 to 25 of 3,006 Permanent LLM Jobs in England

Job DescriptionRole – Senior AI EngineerTechnology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UKBusiness Unit – TOPAZDLVRYCompensation – Competitive (including bonus)Job Summary: We are seeking an accomplished Generative AI ...

scalable, secure, maintainable, and aligned with business objectives. Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment. Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment. Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation … Learning solutions at scale. Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures. Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment. Good foundation in statistics, probability, optimization, experimentation, and applied machine learning. Advanced proficiency ...

maintainable, and aligned with business objectives**.* Provide deep expertise in **model development, experimentation, optimization, evaluation, and production deployment**.* Establish standard methodologies for **LLM evaluation, model benchmarking, AI quality measurement, and performance assessment**.* Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation … solutions** at scale.* Deep expertise in **LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures**.* Hands-on experience with **LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment**.* Good foundation in **statistics, probability, optimization, experimentation, and applied machine learning**. ...

MLOps pipelines for model versioning, automated retraining, performance monitoring, and drift detection as cloud usage patterns evolve. Experiment with and apply generative AI and LLM capabilities to FinOps workflows - such as natural language interfaces for cost querying, AI-assisted tagging remediation, or intelligent cost allocation suggestions. Collaborate with FinOps analysts … ecosystem (scikit‐learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/ ...

like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution design. • Agentic AI & Multi-Agent Architecture: Deep expertise designing autonomous and multi-agent systems that reason, plan, and act using tools. Command … with advanced patterns such as GraphRAG and agentic RAG to maximize factual grounding and minimize hallucination in production.• LLMOps, Evaluation & Responsible AI: Experience operationalizing LLM and agentic systems at scale—evaluation harnesses and metrics for quality, groundedness, and safety; observability, tracing, and monitoring (e.g., LangSmith, LangFuse); guardrails and red-teaming ...

grade Generative AI applications, including:* Retrieval-Augmented Generation (RAG)* AI Agents and Agentic Workflows* Prompt Engineering and Prompt Optimization* Model Evaluation and Observability Frameworks* LLM Fine-tuning and Adaptation Techniques* Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks.* Strong ...

understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into low-code ...

APIs, databases, source control, and cloud‐based applications. Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts. Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation. Familiarity with tools … frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment. Strong problem‐solving skills, curiosity, attention to detail, and willingness to learn in a fast‐paced ...

frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).* Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. **Nice to haves:*** Familiarity ...

Senior AI/ML Engineer ££90,000 - £110,000 GBP No Hybrid WORKING Location: UK wide , Central London, Greater London - United Kingdom Type: Permanent Senior AI Engineer - London (Remote) We're looking for an experienced ...

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...

NoSQL databases.Familiarity with Agile development methodologies and modern software delivery practicesAI Fluency – Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible ...

RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need … Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents ...

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future Were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether were transforming ...

Solutions Engineer - RAG - Python - LLM - Wealth Management An exciting opportunity has arisen for an ambitious, hands-on AI Solutions Engineer to play a key role in shaping how Generative AI is used across a leading wealth-management environment. You'll take real business challenges and turn them into practical, production … considered Strong Python development skills and solid software engineering fundamentals, including clean code, debugging, modular design, source control and automated testing Practical experience using LLM APIs and building applications with system instructions, structured outputs, function/tool calling and context management Hands-on experience building agentic workflows or AI agents ...

scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

best practices across delivery programs. Design secure, resilient, highly available AI systems at enterprise scale, across structured and unstructured data. Design and deliver LLM-powered applications: conversational AI, enterprise copilots, knowledge management, and workflow automation. Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design … Personal attributes we would like to have: Core Knowledge Expected Programming & engineering : expert Python; REST APIs and microservices; FastAPI; distributed systems; cloud-native architecture. LLM application delivery: prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...

We're looking for a Senior Data Analytics & AI Consultant to join our team in London, UK, in a hybrid working mode. In this role, you will operate at the intersection of business strategy, advanced ...

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 ...

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 ...

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...