1,601 to 1,625 of 2,908 LLM Jobs in England

products developed by Xpansiv. This role is responsible for ensuring the quality, reliability, accuracy, and safety of Xpansiv’s AI-driven products and proprietary LLM infrastructure. The QA AI Engineer will create test plans, document and execute test cases, build automated and semi-automated evaluation frameworks, and validate both deterministic … business lines Develop evaluation datasets, golden sets, and scenario suites that measure accuracy, consistency, structured-output quality, policy adherence, and business-rule compliance of LLM outputs Detect, document, and reproduce AI-specific failure modes, including hallucinations, prompt injection, inconsistent outputs, formatting errors, data leakage, bias, unsafe responses, and model ...

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 ...

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 ...

sessions Influence AI model selection and technical strategy across PwC projects and client engagements Requirements Strong hands-on experience in Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying ML workloads to cloud platforms (Azure … supporting the development of others Available for work visa sponsorship Up to 20% travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python and capable of translating complex findings ...

firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform Mentor engineers across the team on AI-first development practices … scalable applications in production environments Strong software engineering foundation with a track record of shipping reliable, performant systems at scale Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development ...

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 ...

Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. With nearly ...

Описание: Expedia Group is a global travel company that connects travelers, partners, and advertisers through consumer brands, a B2B network, and travel advertising services. Its brands include Expedia, Hotels.com, and Vrbo. Задачи Own and evolve ...

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 ...

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 ...

Looking ForCore RequirementsHands-on data science and AI delivery in the customer domain. Experience building and delivering machine learning, generative AI or LLM-based solutions in real client or product environments, applied to customer growth, personalisation, marketing, commerce, sales or service. You can explain how a solution works, the decisions … machine learning is more appropriate than an LLM.Generative AI and agentic systems. Practical understanding of generative AI architectures and techniques, including retrieval-augmented generation, LLM evaluation, prompt and context engineering, and agentic patterns. You understand their benefits, limitations and trade-offs. Data and production foundations. Experience preparing and integrating data ...

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 ...

embeddings and conversational agents Create data foundations supporting decision engines, reinforcement learning and value measurement Partner with AI engineers to operationalise pipelines for LLM workflows and agentic systems Standards, Documentation & Reusability Produce clear documentation for data models, schemas, ontologies and lineage Codify semantic ETL patterns and reusable modelling templates Contribute … SHACL validation or ontology tooling Semantic ETL and ontology mapping pipelines Knowledge graph construction, enrichment and query patterns Experience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystems Familiarity with modern data tooling and platform engineering practices Comfortable working in iterative consulting delivery environments with evolving requirements Behavioural Attributes ...

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 ...

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 ...

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 ...

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 ...

Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world’s top multinational corporations, law firms, banks and private equity firms ...

Software Development Coach Location: mostly remote with occasional trip to Edinburgh or Glasgow required Contract: 12-months with possible extensions Day rate: Outside ir35 £450-£500 p/d Join a cross-functional engineering environment ...

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 ...