1,351 to 1,375 of 2,310 LLM Jobs in London

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

infrastructure — from design through production Responding to production incidents and shipping fixes Building and improving core platform capabilities: AI agents, orchestration workflows, microapp infrastructure, LLM integrations Developing SDKs and tooling for engineers who build on top of Mesh Championing quality and reliability — tests, coverage, habits that prevent regressions Collaborating across … your contributions are visible and your opinions carry weight We use AI tools heavily in our own workflow — Claude Code, AI-assisted code review, LLM-powered automation Distributed systems, LLM reliability, workflow orchestration, real-time integrations — the problems are hard and varied We move fast and we're getting smarter ...

building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types of project: Departmental engagements. Embed with departments to AI-enable tasks and processes … more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built ...

building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types of project: Departmental engagements. Embed with departments to AI-enable tasks and processes … more sophisticated way than “just ask Claude” – for example, Python pipelines where one step is an LLM API call – delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built ...

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 ...

Engineering, Mathematics, Operations Research, Optimization, or Data Science; alternatively, an MS with significant industry or research experience in the field Strong background in NLP, LLM, and graph analytics, with hands‐on experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI or multi … design experiments and training frameworks, and define and evaluate intrinsic and extrinsic model-performance metrics aligned with business goals, focusing on agentic systems and LLM evaluation Experience with big data and scalable model training Strong written and spoken communication skills for communicating technical concepts and results to technical and business ...

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 ...

intelligence system at the core of our operational handling and prevention work. You'll help automate components of our operational systems, establish robust LLM evaluation pipelines, and build solutions that reduce financial crime risk. What you build will have a direct impact on Wise’s mission and millions … Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Knowledge and experience developing and evaluating GenAI/LLM solutions, including automated eval harnesses and prompt engineering; Experience with statistical analysis, experiment design, and failure mode analysis in LLM systems; A strong product mindset ...

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 ...

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 ...

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 ...

models, and analytics solutions, balancing data quality, business value, and speed. Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business. Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery … data pipelines. Experience working with and maintaining multi-tenant SaaS experiences. Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics. Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks ...

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 ...

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 ...

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 ...

will serve as the bridge between rigorous data science, statistical validation, and production agent scaffolding. You will design robust evaluation datasets, architect calibrated LLM-as-a-judge pipelines, and build metrics that accurately capture multi-step agent performance under non-deterministic conditions. Your insights and error analyses will directly drive … methods—including hypothesis testing, confidence intervals, bootstrapping, and power analysis—to determine whether performance changes are true system improvements or stochastic noise. Build & Calibrate LLM-as-a-Judge Pipelines: Develop automated judging systems validated against human ground truth. Measure alignment using agreement metrics (Cohen’s kappa, correlation, precision/recall ...

Deliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs (e.g., Plug n Play, local startup hubs), and industry conferences. Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead ...

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 ...