1,601 to 1,625 of 2,913 LLM Jobs in England

learning models on complex, multi-source datasets from local authorities. You will engineer high-performance training pipelines, build embedding-based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands-on work with model architectures, feature engineering … ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance ...

Elsevier’s broader Search & AI Platform . The Platform Data Science organization works at the intersection of: Search and retrieval systems Generative AI and LLM applications AI evaluation and experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflows About the role We are looking for a Data … generation of AI-powered scientific discovery tools. This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications , who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Applied AI & Research Develop and improve LLM ...

workflows Design prompts and safety guardrails Implement monitoring and CI/CD pipelines Collaborate with clients and technical teams Requirements 1-3 years deploying LLM/GenAI systems in production Strong Python skills Experience with cloud platforms Knowledge of RAG, vector databases, and LLM frameworks Git and CI/ ...

software engineering experience, including leading engineering teams technically and delivering complex, production quality systems at scale. Deep, current experience building agentic AI applications, including LLM orchestration, retrieval augmented generation, tool and function calling, MCP, memory, evaluation and agent harnesses, in Python or TypeScript. Demonstrable knowledge of Langgraph agentic development frameworks. … grounding in secure by default engineering, observability and production operability, with practical knowledge of AI security practices such as the OWASP Top 10 for LLM and Generative AI applications and OWASP guidance for agentic AI. By applying for this role, you consent to SGI contacting you by telephone regarding recruitment ...

Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You'll collaborate with talented ...

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 ...

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 ...