1,326 to 1,350 of 2,427 LLM Jobs in the UK

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 ...

diverse input files, including CSV, JSON, and XML formatPreferred qualifications, capabilities, and skillsExposure to cloud technologies like AWS/Azure/GCPExposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark and Databricks for Data pipeline creation. ...

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 ...

semantic search, retrieval‐augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business … ensure efficacy and reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM ...

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 ...

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 ...

About 9fin9fin 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, PDFs ...

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 ...

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 ...

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot ...

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 ...

data science and AI solutions, from discovery through to production. Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‐based and RAG‐enabled approaches. Support the operationalisation of models and AI solutions, including deployment, monitoring, governance, and lifecycle management. Translate complex analytical outputs into clear … best practices, and Insight capability development. Skills we can’t do without: Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) MLOps and model operationalisation ...

Cambridge and will be an on-site role. In this role, you will have the opportunity to: Design and deliver end-to-end LLM-powered applications, including RAG systems and agent workflows. Transform prototypes into reliable, scalable production services with deployment, monitoring, and failure handling. Integrate and operate external model … include: Strong software engineering capability, primarily in TypeScript and Python with backend and API development skills. Expertise in GenAI systems: RAG, prompt engineering, LLM integration, and agentic workflows. Cloud and infrastructure knowledge, including deployment, containerization, and CI/CD practices. Understanding of machine learning fundamentals, including model behavior, evaluation ...

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 ...

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 ...

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance Think the AA is just about roadside assistance? Think again. For ...

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 ...

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 ...