1,676 to 1,700 of 2,913 LLM Jobs in England

Architect and SME for GenAI-driven insurance use cases Define end to end AI architecture for unstructured document ingestion, reasoning, and output generation Design LLM-centric and hybrid AI architectures combining: OCR RAG systems Agentic workflows Design and govern prompt strategies and prompt frameworks for: Loss run and insurance document … chunking, embedding, retrieval, and grounding strategies Ensure traceability and explainability of generated outputs Drive architectural decisions related to: Scalability and performance Cost optimization of LLM usage Security, data privacy, and access control Auditability and regulatory compliance Define reference architectures and reusable components for multiple insurance use cases Evaluation, Quality & Optimization ...

will own a production system end to end the web application, the database estate, the data pipelines, the deployments, the integrations and the LLM serving stack. Whats involved? Genuine full-stack breadth in one codebase: a React/TypeScript application, a Postgres estate with 100-million-row telemetry tables, serverless … functions, MQTT ingestion from building management systems. LLM model training in the specialist fields our clients value most. It could be a housing estates network or a shopping centre, each LLM is tailored to their exact use case. Neural LLM-assisted engineering at the sharp end: coding agents ...

these areas: Production Python Engineering: Strong Python skills, writing clean, testable, production‐quality code using AI coding tools fluently (Claude Code, Cursor, Codex). LLM & Agent Systems: Proven experience building LLM‐powered applications and agent pipelines in production environments. Context Engineering: Deep understanding of context pipelines, including chunking, embedding selection ...

join a specialist Public Sector Technology team. This hands-on role focuses on building evaluation frameworks, tooling and harnesses for AI systems, particularly LLM and agentic AI solutions. The role requires ownership, experimentation and rapid delivery. Key Responsibilities Design evaluation frameworks and tooling Develop evaluation harnesses Evaluate model and agentic … agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation ...

Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you’ll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You’ll collaborate closely with senior engineers, learn through real design discussions … enjoy solving tough problems and iterating quickly with feedback, you’ll fit right in. As a Software Engineer, Senior Associate, in the LLM Suite Engineering team, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality ...

diagrams, and rationale aligned with business and compliance requirements. Apply risk‐based and threat‐based approaches to recommend secure and proportionate solutions. Agentic AI & LLM Security Architecture You will be responsible for shaping security controls around emerging AI ecosystems, including: Designing security architectures for agent‐based AI systems , including orchestration … frameworks, tool‐use agents, and multi‐agent workflows. Implementing AI/LLM security controls across: Model security (input/output filtering, model guardrails) Prompt security, adversarial prompt defense, prompt isolation API & orchestration security, including secure agent tool use Data security for vector stores, embeddings, and retrieval services Performing AI‐specific ...

willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + … help direct reports grow and contribute to the wider group. Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data ...

durable execution, PostgreSQL, Google Cloud and Azure. What we need from you. Significant backend depth in TypeScript, experience designing and operating distributed systems, and LLM-backed systems you have run in production. What You'll DoWorkflow orchestration. Design and evolve the workflow definition model: control flow, fan-out, conditional execution … that cross several services and two languages, so that latency and token spend can be attributed to individual steps. These figures feed pricing decisions. LLM integration. Structured outputs, guardrails and retries, citation integrity across steps, and deciding where deterministic code should replace a model call. Architecture and technical leadership. Write ...

standards, reusable patterns and guardrails for building reliable, secure and supportable automations. The role increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations … designed, tested, deployed, monitored and supported, including error handling, version control, environment separation and observability. Embed AI as steps within workflows, such as LLM calls to classify, extract or summarise, consuming capabilities and patterns provided by the AI Engineering team, and preferring deterministic automation where it is safer, simpler ...

evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience running AI systems in production at scale, including observability, cost and capacity planning, regression … evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience running AI systems in production at scale, including observability, cost and capacity planning, regression ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable … optimize performance — pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across ...

seeking a Manager, Research Engineering with the skills and drive to manage a top performing Engineering team focused on developing the latest in LLM and Machine Learning capabilities. Foundational Research Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development … with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool ...

well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systemsGenerative AI and LLM applicationsAI evaluation and experimentationSemantic enrichment and knowledge systemsScalable AI platforms and intelligent workflowsAbout the roleWe are looking for a Data Scientist III to help design … 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 responsibilitiesApplied AI & ResearchDevelop and improve LLM-powered research ...

embedding models, fine-tuned LLMs, and ranking systems that drive engagement and orders while raising the bar for technical excellence. Apply generative AI and LLM techniques to personalisation challenges, generating customer and partner representations that improve search relevance and app experiences. Own your results by designing, running and interpreting … experiments that influence commercial decisions while ensuring statistical validity and actionable insights. Aim higher by staying current with advances in search, retrieval, recommendations and LLM applications, bringing fresh ideas to drive the AI Growth vision forward. What will you bring to the team? Proven track record delivering ...

surface actionable insights, shape AI‐ready datasets, identify data constraints and quality gaps, and unlock new product features through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context‐aware development assistance, copilot‐delivered boilerplates, root … products in financial services. Vendor management experience including build‐versus‐buy analysis and integration strategy for third‐party AI/ML solutions (e.g., LLM providers, copilot platforms, AI orchestration frameworks, or agentic tooling), ideally including evaluating AI‐native vendors at various maturity stages. Familiarity with current AI industry developments, including ...

operating production services in AWS, GCP or Azure . Solid knowledge of databases, messaging systems and modern cloud infrastructure. Experience with Generative AI/LLM technologies and integrating models into real-world applications. Understanding of concepts such as RAG, embeddings, vector databases, agents or LLM evaluation . Strong software engineering ...

Job ID: 10451596 | Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering ...

teams to create and implement new user experiences Adapt proof-of-concept solutions into production-ready, scalable implementations Leverage AI, machine learning, and large language model technologies to develop innovative platform features Investigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations … help someone be successful in this role at Roku? Extensive experience in a software engineering environment Demonstrated project work using AI/ML and LLM technologies Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies Experience working in an embedded environment Experience in productionising ...

We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant ...

We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and ...

retrieval capabilities Work with vector databases and/or knowledge graphs Develop agentic workflows and supporting harnesses Build evaluation frameworks and assess LLM/retrieval quality Integrate enterprise datasets Rapidly test, iterate and demonstrate solutions Work closely with architects, data specialists and client technical teams Experience required Strong hands …/LLM engineering experience RAG and retrieval architectures Agentic AI/workflows Strong software engineering capability across front and back end Azure and Azure OpenAI/OpenAI Experience taking AI prototypes from concept to working solution Comfortable independently owning a technical workstream in an ambiguous discovery environment Exposure to GraphRAG ...

We're looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team. In this role, you'll help build practical machine learning and generative AI solutions that can ...

small team exploring how generative AI might shape the future of our journalism. This role will focus on building and fine-tuning LLM-powered systems with a particular focus on editorial tone, style transfer, retrieval workflows, and multimodal generation (especially audio). You'll ship products from zero … Experience fine-tuning models for style or persona (e.g. chatbots with specific character voices) Exposure to LangSmith or similar observability tools for prompt/LLM testing Knowledge of voice synthesis, cloning, or emotion conditioning in audio pipelines Previous work in media, journalism, podcasting, or content production contexts Familiarity with multi ...

/RStudio Migration Enhance the Databricks Discovery Zone to support migration from POSIT/RStudio Enable application deployment, secure API integrations, external data ingestion, LLM integration, scheduling, BI connectivity, local IDE-based development and operational reporting. Define reusable onboarding and migration patterns that reduce technology sprawl while improving security, supportability … migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation and FinOps ...

small team exploring how generative AI might shape the future of Economist journalism. This role will focus on building and fine-tuning LLM-powered systems with a particular focus on editorial tone, style transfer, retrieval workflows, and multimodal generation (especially audio).You'll ship products from zero … HaveExperience fine-tuning models for style or persona (e.g. chatbots with specific character voices)Exposure to LangSmith or similar observability tools for prompt/LLM testingKnowledge of voice synthesis, cloning, or emotion conditioning in audio pipelinesPrevious work in media, journalism, podcasting, or content production contextsFamiliarity with multi-modal generation (text ...