51 to 75 of 159 LLM Jobs in Central London

surveillance/updates for assigned portfolio, synthesising performance, market signals, and peer context into decision-useful insights and clear implications for risk. Supporting LLM tools/automation being embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions. Operate alongside AI agents ...

benefit the wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture … technical personnel to finalise requirements and clarify integration needs. Write and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content ...

experiences, including streaming responses, review loops, citations, long-running tasks and error recovery Developing APIs, backend services and modern frontend components Implementing RAG pipelines, LLM integrations and multi-agent solutions Deploying secure and scalable applications across Azure or GCP Working with technical and non-technical client sponsors to shape requirements … APIs using Python, FastAPI, Django or Flask, supported by strong SQL Create engaging, responsive AI products using TypeScript, JavaScript, React and Next.js Ground LLM applications in trusted business data through RAG, MCP and model integration Design multi-agent solutions using frameworks such as LangChain, CrewAI, AutoGen, OpenAI Agents or Google ...

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future We're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we ...

years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures ...

Microsoft365, including M365 Copilot Teams and SharePoint‐related infrastructure. Knowledge of AzureAIFoundry and Microsoft365 SDK. Knowledge of Model Context Protocol, Agent‐to‐Agent and LLM selection (advantage). Software development experience, including proficiency in one or more of the following: Python, JavaScript, JSON, React and related scripting, .NET technologies (C# ...

cross-functional team including product managers, UX, and QA. You will work on a cloud-first stack (Azure, PostgreSQL, MongoDB) and a multi-provider LLM setup, while championing secure, scalable architectures and responsible AI practices. #J-18808-Ljbffr ...

Asana, or Clay Experience designing and building AI‐assisted workflows or agents in a business context, using tools like Claude, Copilot Studio, or comparable LLM platforms Working fluency orchestrating AI agents through MCP connectors or similar across a multi‐tool stack Experience building or supporting content and campaign automation workflows ...

related things we're interested in Experience in due diligence, governance and compliance, risk, or another data-heavy regulated domain. Familiarity with LLM concepts and emerging agent standards such as MCP. Experience working with third-party data providers and commercial data licensing. Previous experience in a fast-growing startup environment. ...

experiment, build and iterate yourself rather than write requirements for someone else to deliver. What you'll be doing Build AI agents, automations and LLM-powered prototypes against real business use cases. Prototype using AWS Bedrock and other emerging AI platforms and frameworks. Design and refine prompts, agent instructions … experience across a combination of: Generative AI, LLMs and Agentic AI Building AI agents/agentic workflows AWS Bedrock, Azure OpenAI or comparable enterprise LLM platforms Agent frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar RAG, tool/function calling and grounding LLMs against enterprise data Prompt ...

Our client is a global credit ratings and risk analytics firm. Is this your next job Read the full description below to find out, and do not hesitate to make an application. We unite the ...

Job Description Role Overview Join the Alternatives Data Science team and lead data science and AI initiatives across the Real Estate investing platform. The role sits at the intersection of investing, AI, and analytics, partnering ...

product management or business operations role at a mobile app developer. Experience working with data visualization tools to deliver results. Experience working with LLM tools, creating context documents, evaluating outputs. Experience using SQL to retrieve data from large data warehouses, or excellent technical abilities and a desire to learn SQL. ...

CPRA, EU AI Act, DPIAs, and the regulatory obligations facing financial institutions) and how they translate into product requirements. Working knowledge of AI/LLM-based products and how content flows through AI systems. The ability to work across Risk, Security, Legal, Compliance, Responsible AI, Engineering and partner product teams ...

days per week in the office Permanent The Opportunity Are you an experienced Security Engineer with a strong interest in Generative AI, LLM security and cyber engineering? We're looking for a talented Security Engineer to join an established technology environment, where you'll play a key role in designing ...

Senior Product Engineer to own the development of an AI-powered platform for enterprise clients. You will lead backend work, design APIs, and scale LLM-enabled features for real-world deployments. You will collaborate with product leadership and customers to shape the roadmap, focusing on RAG workflows, performance, and cost ...

functional team, shaping the product roadmap, fostering best practices, and driving adoption of cloud-first technologies across Azure, PostgreSQL, MongoDB, and a multi-provider LLM stack. #J-18808-Ljbffr ...

small, high-calibre team. Strong TS/React and Python experience are valued, as is the ability to deploy AI/LLM-powered products. #J-18808-Ljbffr ...

very fast-moving startup with significant ownership Strong TypeScript/React and Python experience would be particularly relevant, as would experience deploying AI or LLM-powered products into production. We’ll also consider exceptional engineers from top‐tier technology companies, startups or quantitative/trading environments who haven't formally ...

join a highly technical artificial intelligence research organisation in London. This is an unusual opportunity for someone who understands machine learning, AI or LLM research but enjoys coordinating people, solving operational problems and enabling technical teams rather than spending their day coding. You will work alongside researchers and engineers across ...

industry forums) Good combination of creative and analytical skills, able to deliver complex documents and "connect the dots". Might haves: Experience in AI (LLM) security, guardails, DLP, understanding of risk such as Prompt Injection and Model Poisioning etc. Good understanding of Telecoms Security Act requirements, contained with the Code ...

platform secure, scalable, and extensible. You'll focus on governance, administration, security, and enablement features for AI agents and workloads at scale across the LLM gateway, MCP gateway, agent runtime, and model governance. You will translate complex platform requirements into self-service experiences for builders, partner with Platform Eng/ ...

Experience: 5+ years of experience in bid management, proposal writing, or sales support. AI Fluency: Demonstrable hands-on experience with AI-powered RFP software, LLM workflows, and strategic prompt engineering. Skills: Exceptional writing abilities to synthesize technical information into clear, outcome-led customer value stories. Tech Stack: Proficiency in Loopio ...

driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also … setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About ...

multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We're using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind … maintain business-critical AI agent services. Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production. Integrate tests and validation to improve AI agents through evals and monitoring. Work with software engineers and architects to lead ...