201 to 225 of 2,311 LLM Jobs in London

risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

high risk work.Responsibilities:Technical Direction & OversightSet technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities.Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable, consistent patterns ...

motivated, adaptable, and comfortable diving into challenging, ambiguous projects. If needed capable and willing to obtain Government Security Clearance. Nice to Have AI/LLM integration experience (APIs, RAG, tool calling, agent frameworks, hosted or local inference). Background improving legacy systems through testing, refactoring, and reducing technical debt. Breadth ...

high risk work. Responsibilities: Technical Direction & OversightSet technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. Risk & Dependency Mitigation: Proactively ...

risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

direct, and persuasive across technical and non-technical audiences. Professional fluency in both Spanish and English. Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.* A passion for modern engineering practices, continuous learning and solving complex technical problems.**What We Believe ...

usual. Work with AI Security and AI Governance Implementation so solutions meet our security, data‐privacy, and responsible‐AI standards. Keep current with LLM capabilities, agent patterns, and AI tooling, and bring back what is genuinely useful. What to expect when you join our firm Hybrid working and reasonable accommodations ...

usual. Work with AI Security and AI Governance Implementation so solutions meet our security, data-privacy, and responsible-AI standards. Keep current with LLM capabilities, agent patterns, and AI tooling, and bring back what is genuinely useful. What to expect when you join our firmHybrid working and reasonable accommodationsGenerous Holiday ...

backend, frontend, and interacting with LLMs and ML models. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly, maintaining high quality and tight ...

design trade-offs, platform constraints, and integration patterns Experience designing and operating model monitoring frameworks — drift detection, performance tracking, alerting Exposure to GenAI/LLM deployment in enterprise settings Cloud platform experience — Azure preferred Experience working in regulated industries — insurance or financial services strongly preferred Demonstrable experience with responsible ...

scientific context. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems. Comfortable using LLM programming assistants appropriately within a research software environment. It'd be great if you also have Experience working on a collaborative codebase using version control ...

Core Responsibilities Develop end-to-end data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data engineers to ensure solutions are scalable and production ...

Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations.Skills\* Strong Python development experience.\* Hands‐on experience with LLM and agent frameworks and agentic reasoning patterns.\* Practical understanding of Model Context Protocol (MCP), including server and tool patterns.\* FastAPI and REST API design ...

design and delivery of production-grade Generative AI and AI-powered solutions Owning architecture decisions across AI products and platforms Building and deploying LLM, RAG, and agentic AI systems at enterprise scale Evaluating build versus buy approaches and making pragmatic technology recommendations Working closely with engineering, security, governance, and business ...

scientific context. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems. Comfortable using LLM programming assistants appropriately within a research software environment. It'd be great if you also have Experience working on a collaborative codebase using version control ...

collabortation etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies ...

software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure to AI, Machine Learning or LLM‐powered applications is highly desirable. A passion for modern engineering practices, continuous learning and solving complex technical problems. Benefits 27 days annual leave (plus bank ...

just an engineer. Skills & Expertise 5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend ...

robust and scalable AI solutions that solve real business problems. As a document intensive industry, you will be building production-ready Agentic AI/LLM systems that radically transforms Commodities Trading. This is a hands-on Individual Contributor role. Required Qualifications5-8+ years of experience building production AI/ ...