576 to 600 of 2,226 LLM Jobs in the UK

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. ...

hackajob is partnering directly with Accenture to hire for this role. AI 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 ...

fund flows, surface patterns, and respond to risk in real time. This role sits at the centre of that work, designing the agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers. You'll join a focused team that cares about the quality of what … Agentic stack that power Elliptic's copilot. You'll lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex ...

teams. We are looking for an exceptional AI Engineer to join our London engineering team and help build the next generation of our NLP, LLM and market intelligence systems. This is a hands-on engineering role for someone who wants considerably more ownership than they are likely to get inside … automated market analysis or reducing the latency of a production intelligence pipeline. What you’ll do Build production AI systems Design, build and deploy LLM and NLP pipelines that operate reliably at production scale. Take models from experimentation through evaluation, deployment, monitoring and continuous improvement. Develop and evaluate models Build ...

outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards Transitioning validated experiments into production-ready ML services … collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning and reproducibility, ensuring full auditability Designing feature engineering strategies and contributing ...

services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector databases, retrieval systems … LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

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 …/HND courses will also be accepted. Core Competencies Demonstrates expertise in AI Orchestration and Development, with a strong focus on building complex LLM-powered systems and multi‐agent workflows. Proficient in Cloud Computing and Data Engineering, particularly with Google Cloud Platform services, while also showcasing leadership in team mentorship ...

agentic solution delivery across client engagements — setting the bar for what production-ready looks like Review and challenge solution architectures end-to-end: LLM selection, RAG pipeline design, agentic workflow logic, evaluation frameworks, guardrails, cost modelling, and scalability Define and enforce the standards that separate a working POC from … sustain it What You Will Bring Required — Proven GenAI Delivery A track record of shipping GenAI solutions into production — RAG pipelines, agentic workflows, LLM-powered applications, or multimodal systems — not just designing or advising on them Deep hands-on experience with the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic ...

founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence … shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm, including enterprise AI and large language model gateways Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design Partner with Corporate Technology AI, product, and data ...

review quality, and reduction in repeat manual work. Secure AI Application and Cloud‐AI Guardrails: Define secure design patterns for AI‐enabled applications, including LLM‐based features, retrieval‐augmented generation, AI agents, AI APIs, copilots, and automation workflows. Establish cloud security requirements for AI workloads, including identity, secrets, data storage … SAST, SCA, secrets scanning, or policy‐as‐code. Ability to translate security standards and architecture requirements into practical implementation patterns. Familiarity with generative AI, LLM‐enabled applications, AI‐assisted development, or AI security risks. Strong scripting, automation, workflow design, or tooling integration experience. Excellent written and verbal communication skills, with ...

review quality, and reduction in repeat manual work. Secure AI Application and Cloud-AI Guardrails Define secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows. Establish cloud security requirements for AI workloads, including identity, secrets, data storage … SAST, SCA, secrets scanning, or policy-as-code. Ability to translate security standards and architecture requirements into practical implementation patterns. Familiarity with generative AI, LLM-enabled applications, AI-assisted development, or AI security risks. Strong scripting, automation, workflow design, or tooling integration experience. Excellent written and verbal communication skills, with ...

generous Parental Leave offerings#LI-EU SNGCR01 Required — Technical SkillsAdvanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing)Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window managementAgentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflowsMachine Learning — model development … with Generative AI in production — not just experimentationA track record of building working solutions, not just prototypes or proofs of conceptHands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent)Strong analytical and problem-solving skills — you debug fast and think in systemsComfortable working with messy, incomplete requirements ...

communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product and engineering teams to define API contracts, data models, and integration … background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making frameworks. Highly proficient in Python ...

frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency … Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database ...

frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency … Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database ...

frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency … Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database ...

AI Engineer– Agentic AI About the Role Location: Burgess Hill, UK Employment Type: Full-time As an AI Engineer– Agentic AI, you will be a hands-on builder contributing to the development of production agentic ...

ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our ...

About Us LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our ...

Associate Director - Lead AI Architect £90,000 to 120,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Associate Director - Lead AI Architect Locations: Edinburgh, Glasgow, London, Manchester or Newcastle ...

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the ...

real clientprogramsacross industries, building production-grade software that connects to and supports agentic AI systems understanding how your full-stack work integrates with agentarchitecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part … Responsibilities Use AI coding assistants daily as a standard part of delivery, actively,frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across ...

delivery of the agentic AI strategy. Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications. Own end-to-end engineering lifecycle: architecture, build, deployment, and optimisation of AI services. Drive adoption of modern AI patterns including RAG, agent orchestration … Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs).Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. Proficiency in modern programming and automation (Python, PowerShell, REST APIs, IaC).Understanding of data platforms (CosmosDB, SQL, Redis ...

Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards … cloud‐native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event‐Driven Architecture, and DevOps practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI ...