251 to 275 of 2,311 LLM Jobs in London

quantitative field, or equivalent experience[Preferred] Specific experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy ...

great:*** Experience building platforms for offensive security, malware analysis, or other high-risk workloads requiring strong isolation.* Experience supporting AI/ML or LLM workloads, including GPU scheduling, inference infrastructure, or agent runtime environments.* Cloud or Kubernetes certifications, or cyber security related qualifications and trainings.* Contributions to open-source infrastructure ...

APIs, databases, source control, and cloud‐based applications. Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts. Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation. Familiarity with tools … frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment. Strong problem‐solving skills, curiosity, attention to detail, and willingness to learn in a fast‐paced ...

Senior AI/ML Engineer ££90,000 - £110,000 GBP No Hybrid WORKING Location: UK wide , Central London, Greater London - United Kingdom Type: Permanent Senior AI Engineer - London (Remote) We're looking for an experienced ...

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need … Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents ...

# AI LLM Engineer - Autonomous NetworkLondon, AbingdonApply for this job* Permanent* Experienced Professionals* Products & Systems Engineering* ID 517607-en\\_GB## **Your Role**This role focuses on designing and building the AI brain for autonomous network operations. The AI/LLM Engineer will develop LLM-based agents, RAG systems, multi-agent … workflows, semantic search, graph-enhanced reasoning, predictive analytics, KPI models, fault correlation models, and closed-loop decision support capabilities.**Key Responsibilities*** Design and develop LLM-based and agentic AI solutions for autonomous network operations.* Build RAG frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data ...

python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills ...

Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch).. Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability ...

Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch).. Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability ...

right tool for the problem. Demonstrable experience designing evaluation and validation frameworks for AI systems, including methods for measuring the quality of large language model, retrieval augmented generation and agent outputs. A strong track record of building AI solutions that solve real business problems and of taking them from prototype ...

failure prediction systems for hardware or distributed systems. Experience implementing distributed straggler detection or collective‐level performance analysis systems. Experience developing agentic or LLM‐powered reasoning systems for diagnostics or operational intelligence. Background in reliability engineering or SRE practices. Wondering if you’re a good fit? We believe in investing ...

break down complex problems, make pragmatic tradeoffs, and ship iteratively, backed by strong communication across product, design, and operationsBonus points for conversational AI or LLM orchestration experience, including speech technologies such as Deepgram, ElevenLabs, Whisper, or OpenAI RealtimeBonus points for working knowledge of cloud telephony or CPaaS platforms such ...

seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data-driven applications in collaboration with Product, Business and Engineering teams. ...

communicating effectively with both technical and business stakeholders. Nice to Have Experience with Go and service-oriented platform development. Experience applying AI/LLM capabilities to data engineering workflows. Financial-services or market-data experience. ...

skilled Senior Data Science Consultant with hands-on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial ...

expect to be involved in the following: Design and implement end-to-end AI systems that deliver business impact. Build and deploy LLM-powered and agent-based solutions from concept through to production. Contribute to technical architecture and engineering best practices. Develop reusable components, frameworks, and patterns across multiple ...

planning platform, we encourage you to apply for this exciting opportunity at Pigment. Experience building and shipping complex products on top of LLMsExperience with LLM or deep-learning–based tabular data understanding, including methods for interpreting complex spreadsheets, schema inference or table representation learning (e.g., TAPAS, TaBERT, TURL, and more ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

make a significant impact by making AI technology both accessible and influential. In This Role, You Will: Innovate and Deploy: Design and deploy advanced LLM models to tackle real‐world problems, particularly in automating complex, manual processes in a range of real‐world verticals. Optimize and Scale: Build scalable data ...

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

cases across enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery of LLM, RAG, Agentic AI, Conversational AI, and multi-agent solutions. Lead vendor selection, programme mobilisation, stakeholder management, and delivery governance. Work with executive stakeholders to align ...

AIpowered apps/services Set up CI/CD, monitoring, cost control, and responsible AI guardrails You bring: Proven production generative AI/LLM experience on Azure Handson with Azure AI Foundry/Azure AI Studio and Azure OpenAI Strong Python, API integration, and RAG/vector search skills Familiarity ...

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...