1,576 to 1,600 of 2,907 LLM Jobs in England

models Experience engaging with security operations, MDR, or SOC providers to manage incidents and improve security controls Knowledge of AI and Large Language Model (LLM) security risks would be highly advantageous Excellent stakeholder management and communication skills, with the ability to explain technical risks to both technical and non-technical ...

equivalent operational platforms Integration of internally developed applications with third-party products AI & Analytics Experience supporting AI-enabled services Exposure to Large Language Model (LLM) solutions Data analytics and monitoring platforms Additional Skills Strong troubleshooting and analytical skills Excellent communication and stakeholder engagement Experience within highly regulated environments What ...

equivalent operational platforms Integration of internally developed applications with third-party products AI & Analytics Experience supporting AI-enabled services Exposure to Large Language Model (LLM) solutions Data analytics and monitoring platforms Additional Skills Strong troubleshooting and analytical skills Excellent communication and stakeholder engagement Experience within highly regulated environments What ...

when engineering expertise or automation support is needed. AI-Driven Innovation: Research, architect, and safely embed cutting-edge AI utilities and Large Language Model (LLM) agents directly into our secure infrastructure. WHAT YOU WILL NEED: 4+ years of experience in security engineering, platform security, or DevSecOps roles. Hands-on experience ...

stack services (frontends and backend services) into production environments. End-to-End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data … full stack, guiding the development of responsive frontend applications (React/TypeScript) and robust, scalable backend services (Python, Java, Kotlin, or Node.js). LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour). Operational Excellence: Champion high availability ...

will: Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale. Build an internal platform to empower LLM capability discovery. Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. Conduct architecture and design reviews to uphold best … experience building large-scale, high-performance backend systems. Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.)Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates ...

will: Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale. Build an internal platform to empower LLM capability discovery. Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. Conduct architecture and design reviews to uphold best … experience building large-scale, high-performance backend systems. Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt ...

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 ...

your work shapes how teams use intelligent systems at scale. You’ll lead hands‐on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem‐solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into … reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production‐grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction ...

scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. 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 + … role In this opportunity, as a Research Scientist you will: 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 ...

businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. We are seeking a MLOps Engineer (LLM/GenAI) In this fantastic role, you’ll engineer production-grade infrastructure for modern AI: hosting LLMs and speech/embedding models, pushing inference performance … Optimise inference for latency, throughput, and cost (e.g., quantisation, KV-cache optimisation, dynamic/continuous batching) Evaluate and integrate inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to maximise performance on target hardware Own inference health/performance monitoring (latency, throughput, TTFT, memory, availability) and troubleshoot bottlenecks/deployment issues Build ...

seeking a highly skilled and experienced Senior Product Manager to join our dynamic team. The ideal candidate will have a strong background in AI, LLM and AI agents, with hands-on experience in delivering production-ready projects in this domain. You will play a pivotal role in driving the development … enterprise applications, with a focus on the legal domain. Collaborate with stakeholders to identify market needs, customer pain points, and opportunities for innovation. AI, LLM & AI Agents Expertise: Leverage your strong understanding of AI, LLM and AI agents to guide the development of intelligent, production-ready solutions that expands CoCounsel ...

embedded in decisions and communicated consistently across the organization. Develop, maintain, and operationalize AI security standards, guidelines, and reference architectures covering generative AI platforms, LLM-integrated applications, agentic systems, and AI-enabled developer and productivity tooling. Conduct AI security architecture reviews for new and existing AI integrations, including agentic workflows … retrieval-augmented generation (RAG) pipeline designs, LLM API integrations, and multi-model orchestration patterns — identifying risks and defining appropriate mitigations in collaboration with development and platform teams. Build and maintain scalable AI security workflows, assessment playbooks, and decision frameworks that enable the organization to evaluate AI adoption requests efficiently, consistently ...

ISO27001 NIST, and CIS frameworks. Produce documentation and evidence to support audit and assurance activities. AI Security Design and implement guardrails for AI/LLM systems, covering data exposure, prompt injection, and model misuse risks. Leverage AI and automation to enhance alert investigation, enrichment, and response workflows. Maintain technical policies … logging pipelines. Working knowledge of DLP and threat intelligence monitoring. Experience applying AI/ML to security workflows – automated triage, behavioural analytics, or LLM‐assisted investigation. Understanding of AI security risks and frameworks: OWASP LLM Top 10, NIST AI RMF. Scripting proficiency in Python, PowerShell, or Bash for security automation. ...

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 ...

technical solutions. Hands‐on experience writing and shipping production Python in an enterprise, high‐bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval‐augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector ...

technical solutions. Hands-on experience writing and shipping production Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector ...

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. Job responsibilitiesBuild 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 ...

role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications. Requirements 5+ years of software engineering experience, including hands-on experience shipping agentic or LLM-backed systems that are used in production. What ...

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/ ...

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 ...