151 to 175 of 534 LLM Jobs in the UK

Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities Design, build, and maintain scalable backend systems that … power advanced ML and LLM applications. Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core. Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues. Drive research and development in modern ML, AI, and LLM approaches, applying ...

Data Scientist/AI Engineer Location: UK London/Bristol Clearance: BPSS eligible (required prior to engagement start)Working Model: Onsite 1-2 days per weekDay Rate: Inside IR35 OverviewA leading UK financial institution is ...

experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries. This … growth and project delivery. Deliver end-to-end data science and AI solutions across multiple client projects. Build and deploy machine learning models, including LLM-powered and generative AI applications. Run client workshops, gather requirements and translate business challenges into data-driven solutions. Review code, set best practices and drive ...

Data Scientist £Up to £60,000 GBP Hybrid WORKING Location: London, Central London, Greater London - United Kingdom Type: Permanent Join a highly regarded digital, data, and technology consultancy recognised for delivering advanced analytics, AI, and ...

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full time A globally renowned organisation is seeking an AI Engineer ...

want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across … building scalable AI services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation) Build APIs/services integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans ...

Role Overview Role/Job title: Azure AI Architect Work Location: London, Tunbridge wells, Ipswich, Bolton Role type - Permanent/Fixed Term/Contracting: Contracting Mode of working Hybrid/office based: Hybrid If Hybrid ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures ...

AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We’re looking for a ...

Investment AI Solutions Manager Location: Global/Hybrid (1 day per week remote) We are seeking a senior leader to operate at the intersection of investment management and artificial intelligence , shaping the next generation of ...

System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems … combining LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying ...

reliable, safe, and consistent outputs. Implement prompt chaining and multi-turn orchestration patterns for complex workflows (reasoning, planning, tool use, and validation). Build LLM-powered features on Azure (e.g., Azure OpenAI, Azure Functions). Utilize and manage RESTful APIs/SDKs to integrate model calls within web services, back … content safety, PII handling, data privacy, and role-based access; follow Responsible AI practices and organizational guardrails. Partner with architects and engineers to define LLM interfaces, token/cost budgets, and observability. Your Profile Essential skills/knowledge/experience Hands-on experience crafting prompts (system role design, few-/ ...

Responsibilities: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across ...

Outside IR35 Contract, UX/UI Designer - SC Cleared, £400-500 per day, Farnborough Hybrid Contract role working on an LLM/AI new platform, for a defence/MOD company (SC Clearance would be required prior to appointment) Key skills required as follows: * 5 years minimum experience ...

with ambiguity and fast-paced environments Bonus: Early-stage startup experience 0-1 product building (side projects count!) B2B SaaS or enterprise product experience LLM/AI implementation experience Why this matters: This isn't another AI chatbot. You'll build something people genuinely need while working alongside future founders ...

team in China Bonus (Nice to Have) Exposure to MVVM-C or other architectural patterns Familiarity with dependency injection concepts Interest in AI/LLM tech What we offer: Mentorship from AI industry experts Prime office location with skyline view Networking opportunities in the AI ecosystem ...

with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants , RAG pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner … commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices (Azure experience a plus). ...

processes. Building robust back-end services and APIs to support document ingestion, data extraction, multi-step reasoning and autonomous execution. Working with modern LLM tooling (advanced prompting, retrieval-augmented generation, tool calling, evaluation frameworks) to optimise accuracy, latency and reliability for real client workloads. Collaborating with product managers, domain SMEs … Mathematics, AI/ML, Data Science, or a closely related discipline from a top-tier university. Demonstrable experience with applied AI/ML or LLM-based systems (projects, internships, or commercial work), not just academic exposure. Comfort working in a fast-moving, small-team environment where you take ownership from ...

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform ...

systems end-to-endfrom research prototypes to secure, observable, scalable production systems. You will set engineering standards across AI projects, lead technical design, guide LLM orchestration, and drive platform reliability, performance, and cost efficiency. Key Responsibilities End-to-end delivery: Own the full lifecycle (discovery prototyping hardening production monitoring continuous … improvement) of GenAI and agentic systems. LLM orchestration & tooling: Design and implement workflows using LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar. Optimize prompt strategies, memory, tools, and policies. RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector), including chunking, hybrid search, embeddings selection, caching ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...