1,676 to 1,700 of 2,907 LLM Jobs in England

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 ...

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects ...

Overview We’re AioiR&D Lab – an AItech hub in one of the fastest‐growing insurance companies. We research and develop AI systems that catapult insurance from a slow‐moving, traditional past into a data ...

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission‐critical, yet still run on fragmented data ...

rapid innovation and calculated risks that won't compromise our high standards The role Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug … workflows end to end, proposing improvements. What we are looking for We'd love to hear from you if You've built and shipped LLM-agentic systems that deliver real value - agents that use tools, orchestrate multi-step workflows and behave reliably in production. You have at least 2 years ...

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data ...

Leeds, United Kingdom | Posted on 02/25/2026 Responsibilities Design, develop, and maintain Copilot agents, plugins, connectors, and LLM workflows in Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies … Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible AI practices: guardrails, controls, monitoring, auditability Build observability: logging, telemetry, and LLM monitoring for quality and incident triage Create reusable assets - prompt libraries, agent templates, connectors, test harnesses, and documentation Conduct rapid prototyping to validate feasibility, model ...

that is the right fit Own APIs and event-driven flows that move money, receipts, and policy decisions at company scale Build or extend LLM-backed agents: tool use, grounding, streaming, session memory, retrieval, and evals — not one-off prompt demos Improve document extraction and auto-itemization: quality, tax fields … data modeling, APIs, and cloud (AWS). Messaging systems (Kafka or similar) are a plus. Shipped AI in a real product, not only notebooks: LLM APIs, tool/function calling, retrieval-augmented generation, evaluation, or document/vision extraction. You can talk about failure modes (hallucination, cost, latency, prompt injection ...