1 to 25 of 452 LLM Jobs in England

document processing. Your Responsibilities Design, develop, and deploy AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. Build and operationalize LLM-based applications, including prompt engineering, model customization, and grounding strategies. Develop intelligent document processing pipelines using Azure AI Doc Intelligence for tasks such as classification ...

platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Your Role As a Senior ...

Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service Bus, Azure DevOps, Azure CLI, Azure AI services, App Insights, and Azure OpenAI. Extensive knowledge of LLM Python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen, graphRag, promptflow Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI ...

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

Qualification (e.g. PRINCE2) Experience Essential Minimum 3 years in a Data related field Proficiency in SQL Proficiency in Python (Machine Learning, Deep Learning or LLM Frameworks) Intermediate SQL skills Desirable Minimum 2 years experience in Data related field Minimum 2 years in a Business or Management Consulting field Experience ...

Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure ...

experience with strong grasp of OOP, SOLID principles, 12-factor application development and scalable microservice architecture Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval ...

Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills ...

. Experience designing cloud-native and/or on-prem data solutions . Exposure to automation and AI-enabled data processes , with awareness of LLM use cases within data workflows. Experience working in Agile delivery environments (Scrum, Kanban, DevOps). Strong analytical and problem-solving skills, with the ability ...

systems into production. Key Responsibilities: AI System Development Build and optimise AI models and pipelines Implement RAG, agentic workflows, and advanced reasoning techniques Deploy LLM-driven features into real products Full-Stack & Platform Engineering Develop APIs, backend services, data flows, and integration layers Contribute to UI/UX when needed ...

Enhance and innovate esure’s tech stack, including MLOps, CI/CD pipelines, UI, and our AI Python library. Assess third-party GenAI and LLM technologies to determine feasibility and cost–benefit. Skills and experience you need as an AI Engineer: Proven experience applying, researching and developing NLP models, including ...

support strategic decision making. Build interactive dashboards and visualizations that drive performance tracking and business insights. Develop, finetune, benchmark, and evaluate GenAI/LLM models, including RAG pipelines and robust evaluation frameworks. Design scalable data pipelines, enforce data quality, and implement strong governance aligned to commercial and institutional requirements. Collaborate ...

generating actionable insights and automating processes. Develop interactive dashboards and visualizations for performance tracking and business intelligence. Build, finetune, benchmark, and evaluate GenAI/LLM models including RAG pipelines, establishing robust evaluation frameworks. Design scalable data pipelines, ensuring data quality and implementing strong governance aligned with commercial and institutional requirements. ...

concept. Key Responsibilities Design and build production-ready AI solutions , with a strong focus on reliability and scalability Develop and deploy GenAI/LLM-based applications (e.g. copilots, internal tools, automation) Build and maintain AI services, APIs and integrations with existing platforms Implement data pipelines, embeddings, vector search and retrieval ...

vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face). Familiarity with LangChain for building LLM-powered applications. Ability to create chains, prompts, and agents. Desirable Skills/Knowledge/Experience Experience with data ingestion, indexing, and querying. Working with unstructured ...

agent-based workflows Develop and orchestrate multi-agent AI systems (e.g. supervisor and specialist agents) Implement retrieval pipelines using vector databases to ground LLM responses Build and optimise NLP pipelines for sentiment analysis, intent detection and document understanding Deploy AI/ML models into production using cloud-native architectures Implement ...

high-quality outputs. Skills & Experience Agentic AI experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes ...

analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across cross-functional teams. Define, implement, and monitor key performance metrics ...

Responsibilities Act as a hands‐on builder of AI‐powered products from idea to production. Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions. Rapidly prototype, test, and iterate with real stakeholders and real data. Work closely with business teams to identify opportunities and define ...

production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep ...

lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/day (Inside IR35 ...

expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working closely with stakeholders Building reusable AI components ...

delivery, solution design, and client-facing impact. What You’ll Work On Designing and implementing Agentic AI architectures for enterprise workflows. Building and deploying LLM-powered solutions, including Q&A systems, RAG pipelines, and autonomous agents. Developing custom copilots, plugins, and declarative agents using Microsoft Copilot Studio and Azure ...

with the latest developments in AI APIs and tooling, and continuously assess potential opportunities. What We’re Looking For Proven experience integrating AI/LLM APIs into software systems or workflows. Strong experience in prompt engineering and chaining logic for AI-based tasks. Background in backend engineering (Python, NodeJS ...

Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. ...