326 to 350 of 690 LLM Jobs in the UK

intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering , typically involving technologies such as: Large language model–driven systems AI-assisted automation and orchestration Intelligent workflow systems Data pipelines and evaluation frameworks Distributed platform architectures What We’re Looking For Core ...

Specialist Step into a role where AI isnt theoretical - its already live, evolving, and making an impact. Youll be working on a production-level LLM chatbot integrated with Intercom, handling real user traffic and data. xxuwjjq This is a rare opportunity to directly shape performance through metrics like resolution rate ...

backend) • Experience with APIs, databases, and system design • Familiarity with modern frameworks (React/Next.js, FastAPI or similar) • Interest or experience in AI/LLM-based systems • Ability to learn quickly and work independently You don’t need to know everything, but you should be confident building and figuring things ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

Location: London (Hybrid) Duration: 6 Months The Role We’re hiring AI operators who ship — not experiment. If you’ve built and deployed real LLM and agentic systems in production environments, we want to talk. This is an opportunity to shape how AI is applied at scale across a global …/B2B) and AI-led business transformation . You will be aligned to the area where you can create the most impact — either building LLM-powered products or embedding AI into core business workflows and decision-making processes . This is a production-first environment , where the focus ...

deploying end-to-end AI/ML and Generative AI solutions for production environments. The role will focus on Agentic AI solutions, RAG pipelines, LLM integrations, and cloud-native AI architecture , working closely with engineering, data, and business stakeholders. Essential Skills & Experience Proven experience designing, developing, and deploying AI/… development skills with experience using AI/ML frameworks Experience with Azure AI Foundry and Azure OpenAI Strong experience building and optimising: RAG pipelines LLM integrations Agent-based workflows Expertise in: Model selection and fine-tuning Prompt engineering Enterprise system integration Solid data science fundamentals , including: Data analysis Feature engineering ...

classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability: Utilise LLM APIs for advanced context engineering on unstructured data, while using models such as SHAP to ensure that every model we build is fair, free from bias … similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong ...

**About the context**The Principal Architect - Intelligent Automation drives the strategic technology roadmap and high-level design for Intelligent Automation (Low Code, Digital Automation, Conversational AI and Agentic AI) within the global corporate domains. In ...

Location: London (Hybrid) Engagement Type: Permanent Company: Albany Beck About Albany Beck Albany Beck is a consultancy dedicated to delivering tailored talent and operational solutions to our clients across Financial Services and beyond. We partner ...

that scope, not daunted by it. REQUIREMENTS: Strong Python in production, ideally including FastAPI or similar async frameworks Proven experience building and deploying LLM-powered applications, not prototypes that never saw users Solid understanding of data modelling and PostgreSQL; familiarity with vector databases a plus Comfortable across the full stack … multi-agent systems for reliability and production performance Understanding of prompt engineering techniques including few-shot learning, chain-of-thought and RAG Familiarity with LLM evaluation strategies and how to measure whether your system is actually working Hands-on with AI orchestration frameworks: LangGraph, LangChain, DSPy or equivalent Knowledge ...

We are looking for a curious, driven individual with a background in Computer Science or Computing to join us as our Applied AI Apprentice. This is a rare opportunity to work directly with the leadership ...

deliver, not someone who has only experimented on the edges of AI. You will ideally bring: AI/ML engineering experience in production environments LLM development and orchestration experience Python development Cloud platform experience across AWS or Azure or GCP End-to-end delivery experience from idea and prototyping through … room to influence standards and tooling as the function matures. Likely technologies and themes include: Python development OpenAI models Anthropic models AWS Bedrock LLM workflows Agentic AI systems Machine learning algorithms API-led microservices Cloud platforms Monitoring, management, and alerting Vulnerability management workflows AI-assisted report generation Security testing automation ...

role in developing scalable, secure, and cloud-native applications while contributing to cutting-edge AI initiatives, including RAG-based semantic search and LLM workflows. Required Skills & Experience Strong commercial experience with Java and Python development Advanced knowledge of AWS cloud services and cloud-native architecture Experience designing, building, testing … SDLC Experience working within Agile engineering teams Knowledge of AI/ML technologies and intelligent application development Experience with RAG-based semantic search and LLM inference workflows Exposure to OpenAI and Claude models Ability to independently solve complex technical and design challenges Strong communication and stakeholder management skills Degree ...

role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight … Experience: circa 3-5 years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party ...

role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight … Experience: circa 3-5 years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party ...

Location: London Salary: Competitive salary and package dependent on experience Career Level: Specialist or Associate Manager (based on experience) Accenture is a leading global professional services company, providing a broad range of services in strategy ...

Logiq is a fast-growing technology Company, providing cutting-edge solutions to high-risk clients across Private and Public Sector. Due to rapid growth in our Security Capability, we are looking for experienced AI Architects ...

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. ...

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out ...

Data Scientist (MLOps/GenAI Focus) Location: Bristol | Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role ...

stack developer AI & Modern Development Practices (Required) Experience using AI coding tools or assistants in day-to-day development Understanding of large language model (LLM) fundamentals and limitations Desirable Exposure to cloud platforms (e.g. AWS, GCP, Azure) Experience with CI/CD pipelines and infrastructure as code Senior Full Stack ...

implement warehouse sizing and scheduling strategies to optimise operational data spend. AI‐Ready Data Architecture Architect data stores optimised for large language model (LLM) consumption, including vector databases, embedding pipelines, and retrieval‐augmented generation (RAG)‐compatible data structures that form the foundation of the AI product layer. Data Contracts & Platform ...

they can be operated long-term. Upskill and enable the wider team in effective AI usage (AI-assisted coding practices, patterns for AI/LLM solutions, and pragmatic guardrails) through pairing, lightweight training, and shared standards. Key requirements 6+ years building and shipping software; meaningful experience delivering ML/LLM … systems to production. Strong Python + software engineering fundamentals (testing, code quality, CI/CD). Experience with modern LLM patterns (RAG, tool use/agents, fine-tuning or prompt systems) and robust evaluation. Practical experience operating production systems on-prem or in a private cloud (Linux, containers, networking, monitoring ...