1,126 to 1,150 of 2,010 LLM Jobs in London

Location: London (Hybrid working, 3 office days per week) Employment Type: Permanent, Full Time Why Join Us? Annual bonus, cash car allowance and private medical insurance Shape and embed The AA’s critical data governance ...

Everything we do within WTW Global Technology has a global focus at its heart. We aim to provide colleagues with consistent technology, experiences and operations wherever possible. The AI Technical Platform Leader will be crucial ...

from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You'll build AI features that can be used in real-time. This will help business users use GenAI in their … clear track record of principal‐level technical leadership. Hands‐on experience building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs ...

About the Team The Enterprise AI Products team is a small, high-impact global team within the Citi COO/CTO organisation, dedicated to building innovative AI solutions for the wider bank. We are at ...

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through ...

/ELT workflows in Azure Synapse and Microsoft Fabric. Managing and organizing Data Lakes for seamless data access and high performance. Integrating AI/LLM models, Copilot agents, Power Automate flows, and wider Power Platform solutions into data pipelines and business processes to boost innovation and deliver actionable insights. Supporting … testing and validation of AI-enabled solutions, including Copilot agents and AI/LLM outputs, by checking results, documenting issues, and escalating risks where needed. Building and supporting automation workflows using Power Automate, Power Apps, and related Power Platform capabilities to streamline operational processes and improve data capture. Collaborating with ...

Senior AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking ...

Platform initiative and help define how agents are built, integrated and operated across the organisation Design and maintain standardised templates and reference implementations for LLM and Generative AI workflows, including prompt design, tool calling, multi-step agent flows, retries and failure handling Implement secure, governed access patterns for LLMs … systems in real-world environments Strong understanding of the end-to-end AI lifecycle, from experimentation through deployment and operation Practical understanding of production LLM or GenAI runtime concerns, including model access, routing, caching, token usage, cost optimisation and reliability High proficiency in Python and experience building APIs and service ...

products. Understanding of agentic AI patterns—tool chaining, multi‐step reasoning, autonomous decision‐making, and human‐in‐the‐loop workflows. Familiarity with AI/LLM ecosystems and agent frameworks (LangChain, CrewAI, AutoGen, Copilot Studio, or equivalent). Experience designing developer‐facing products—SDKs, documentation, reference implementations, and sandbox environments. Ability … work across ecosystem boundaries with external partners, developer communities, and platform providers. Preferred Exposure to MCP, function‐calling, or tool‐use patterns in production LLM applications. Background in financial services technology, capital markets workflows, or enterprise data integration. Experience with partnership or ecosystem development in a platform or marketplace context. ...

We are looking for a Staff Engineer to lead the technical delivery of complex software, data, and AI projects, focusing on the Defence sector. This role combines deep technical expertise with project leadership and client ...

member of the Security Enablement team, you will help provide automated security testing solutions for Bloomberg, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team’s goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development … assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, and integrations with development and security tooling. You'll need ...

event-driven and messaging architectures using Kafka, NATS, and microservices.Drive AI-led software engineering using tools such as GitHub Copilot, Claude Code, Cursor, and LLM-based development frameworks.Lead cloud-native platform design using Kubernetes, Docker, and modern DevOps practices.Manage and mentor engineering teams, define technology roadmaps, and engage with senior … Financial Services background.Experience leading large-scale transformation and modernization programs.TOGAF, Kubernetes, Cloud, or Architecture certifications.Experience building AI-enabled engineering organizations and integrating GenAI/LLM solutions into enterprise platforms #J-18808-Ljbffr ...

Company Description/Business UnitLocation: London (hybrid working 3 office days per week)Employment Type: Permanent, full timeAdditional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical InsuranceThink the AA is just about roadside assistance? Think ...

systems, taking ownership from RFC through implementation to production deployment. Build and optimise production ML systems: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimisations for inference; design advanced labeling workflows to improve model accuracy; and engineer robust solutions that deliver measurable customer value. Champion performance … partnerships. Qualifications Strong production engineering experience: built, deployed and operated complex systems in production with observability, reliability, performance optimisation and operational realities. Hands‐on LLM/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton ...

building and implementing the most appropriate technical solutions. Your responsibilities will include: Designing and developing advanced AI and Machine Learning solutions Building and implementing LLM and Generative AI applications Developing and training models for complex use cases Working with predictive modelling and Machine Learning techniques Taking models from development through … Machine Learning expertise rather than a generalist Data Science background. You'll ideally have: Strong commercial experience within AI/Machine Learning Hands-on LLM/Generative AI experience Strong Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into ...

Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise ...

production-grade AI solutions. This is a senior, hands-on position for someone who combines deep technical expertise in Generative AI, Agentic AI and LLM architecture with the ability to lead technical strategy and engage confidently with enterprise clients. The Role Youll take ownership of the architecture and technical direction … initial client requirements through to production deployment. Youll be responsible for: Designing end-to-end Generative AI and Agentic AI architectures Architecting production-grade LLM applications and AI platforms Designing agentic workflows, orchestration and multi-agent systems Leading technical discovery and architecture discussions with enterprise clients Making key decisions around ...

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through ...

workflow integration, and limitations. Platform contribution & feedback loop Build and contribute to AI platform architecture standards, including prompt‐engineering patterns, agentic workflow design, and LLM integration guidelines. Collaborate with the wider technology and AI Platform teams to specify the dependencies analytical solutions require, such as data, development environments, and tooling. … development tools as a core part of your daily workflow. Daily proficiency with AI coding tools such as Claude or GitHub Copilot. Hands‐on LLM integration experience. Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture. Cloud platform experience. Experience with agentic frameworks such as LangChain, LangGraph ...

capabilities that measurably improve the customer experience and drive business outcomes. The work spans traditional ML systems and emerging agentic/LLM-based capabilities. You will lead multiple ML teams through their respective team leads, reporting to the Director of AI & ML. You’ll be accountable for the people … call practices for ML systems in production. Shape AI practices and governance. Co-own the operating model for modern AI at Trainline - LLM-based features, agentic systems, evaluation frameworks, and guardrails. Drive improvements in AI governance, data privacy, security, and audit accountability as capabilities scale. We\'d love to hear ...

reasoned designs that avoid pitfalls and age well over time. Build and optimize production ML systems: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimizations for inference; design advanced labeling workflows to improve model accuracy; engineer robust solutions delivering measurable customer value through faster processing … Looking For Strong production engineering experience: Built, deployed, and operated complex systems in production with emphasis on observability, reliability, performance, and scale. Hands-on LLM/ML systems experience: Production experience with LLMs, fine-tuning, inference pipelines, latency/cost optimization, or evaluation; familiarity with TensorFlow, PyTorch, or Triton; capable ...

person everyone asks without becoming the bottleneck or the single point of knowledge. Must-have Demonstrable impact from agentic or LLM-powered systems you\'ve shipped to real users, and you can explain what broke and what you changed. Hands-on with an agent framework (LangGraph, LlamaIndex, Semantic Kernel …/AWS equivalents), plus solid SQL and relational modelling. Architectural judgement: you make the design call, defend the trade-offs, and know where an LLM system needs optimising on cost, latency, and output that only sounds right. Strong product sense: you\'re data-driven, you understand what players actually need ...

This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role ...

AI Data & Insights Officer (FTC) Borough, South London (SE1 1EP) Worldwide Events Group Worldwide Events Group, founded in 2004, is a recognised leader in global MICE and luxury travel. Across our portfolio, we bring people ...

that means: Designing, building and shipping features end-to-end across the platform Expanding the stack: new services, new integrations, and LLM-powered features built into the product itself Using AI development tools as standard practice - and helping shape how the team gets the most from them Contributing to architecture … part of how you work every day, you follow the space closely, and you have opinions about what works Experience building with or integrating LLM APIs (Anthropic, OpenAI, etc.) - or personal projects that prove the interest is real The ability to thrive in a small team where you'll wear ...