1 to 25 of 619 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 ...

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 ...

platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual ...

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 ...

background with proficiency in Python. Experience with API development using FastAPI, Flask, or Django. Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing ...

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 ...

lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/AI related certifications Immediate availability If you're interested ...

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 ...

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 ...

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 ...

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 ...

Curiosity and passion for AI, automation, and how technology can improve real-world systems. Familiarity with Python, no-code automation platforms, API integrations, or LLM-based tools (OpenAI, Claude, etc.). Comfortable working with datasets, spreadsheets, or basic data pipelines. Excellent communication skills able to explain complex ideas simply. High ...

Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools ...

least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with ...

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 ...

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 ...

have real influence over architecture, tooling, and technical direction . What You’ll Be Working On Production MLOps pipelines for training, evaluation, and deployment LLM-powered workflows for planning, site intelligence, and decision support Graph-based ML models linking spatial, regulatory, demographic, and market data A growing recommendation engine ...

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. ...

WebSocket for real-time features, GraphQL consideration Local Storage : Core Data/SQLite, Room Database, secure keychain/keystore AI Integration : Real-time transcription, LLM-powered document generation, offline ML models Backend Integration : Ruby/Python API, AWS (Lambda, S3, RDS), PostgreSQL, Redis, real-time sync DevOps : GitHub Actions, Fastlane ...