526 to 550 of 2,260 LLM Jobs in London

equivalent experience. NICE TO HAVE Java/Spring depth alongside Python. Event-driven architecture, queues and workflow engines. Financial services or regulated-industry systems. LLM service integration patterns. THE REALITY The work demands both pace and accuracy - autonomous systems are being built inside high-stakes live businesses where decisions carry ...

rigorous evaluation. Have practical, hands-on experience with LLMs, whether through tools such as Codex or through building AI applications. Deep experience deploying LLM systems is valuable, but strong quant expertise and the ability to learn quickly are the priorities. Can point to substantial personal contributions in code, architecture, evaluation ...

time is when you expect to find the next step change. Judgement. You critically evaluate model output – yours, a colleague’s, or an LLM’s – and can explain why a choice is right. You defend your reasoning under challenge, and challenge others’ when the evidence points elsewhere. You’ve influenced ...

autoscaling strategies, and mentoring senior and mid‐level engineers. Preferred Direct open‐source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT‐LLM, Ray Serve, or TorchServe). Deep experience with GPU systems engineering and hardware performance optimisation (e.g., CUDA, NCCL, RDMA, NUMA, or GPU interconnects). Direct ...

Useful to have, none required Java/Spring depth alongside Python Event-driven architecture, queues and workflow engines Financial services or regulated-industry systems LLM service integration patterns The reality This will be difficult. It demands pace and accuracy. We are building autonomous systems inside high-stakes live businesses, where ...

enabling platforms (SAP S/4HANA, Oracle Fusion, Workday, ServiceNow or similar)Understanding of AI-led transformation in back-office operations — including intelligent automation, LLM-enabled workflows, agentic process handling, and AI governance considerationsStrong consulting skills and senior stakeholder engagement capabilityAbility to work across sectors (Financial Services, Public Sector, Healthcare ...

standards to ensure transparency and trust in intelligence outputs.Champion innovation in threat intelligence data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction.What You'll Bring:Data-Driven Product Thinker with experience managing large-scale data or analytics systems.Strong Technical Acumen, able to engage with data ...

rigorous evaluation. Have practical, hands-on experience with LLMs, whether through tools such as Codex or through building AI applications. Deep experience deploying LLM systems is valuable, but strong quant expertise and the ability to learn quickly are the priorities. Can point to substantial personal contributions in code, architecture, evaluation ...

ensure transparency and trust in intelligence outputs. Champion innovation in threat intelligence data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction. What You'll Bring: Data-Driven Product Thinker with experience managing large-scale data or analytics systems. Strong Technical Acumen, able to engage with ...

things. You try them out, not just read about them. Judgement. You critically evaluate model output – yours, a colleague's, or an LLM's – and can explain why a choice is right. You defend your reasoning under challenge, and challenge others' when the evidence points elsewhere. Analytical ownership. You take ...

Nice to have's Semantic layer tooling in production Natural-language/AI analytics tools (e.g. Cortex Analyst or similar) or preparing data for LLM consumption. Experience rationalising dashboard estates or migrating BI logic downstream E-commerce, manufacturing, or subscription business domains What’s it like to work ...

developing own skillsetNice to have'sSemantic layer tooling in productionNatural-language/AI analytics tools (e.g. Cortex Analyst or similar) or preparing data for LLM consumption.Experience rationalising dashboard estates or migrating BI logic downstreamE-commerce, manufacturing, or subscription business domainsWhat’s it like to work ...

long-term impact.**How You’ll Contribute*** Own the technical direction, architecture, and implementation of AI systems end-to-end* Design and build LLM-powered and agent-based solutions from concept to production* Establish engineering standards, patterns, and reusable components across use cases* Own key technical decisions on models, tooling ...

OCSF or ECS, and the practical limits of schema normalisation Python Working knowledge of the AI agent ecosystem, including MCP, agent frameworks and LLM tool use How we work Small teams with real ownership Infrastructure as code and per-region deployments Zero-build-warning discipline, and tests that exist ...

CD. Better than it was, not where we want it. For a concrete example: here's how we built a sandboxed execution environment for LLM-generated code. Technical Environment Mostly production, with the occasional internal IT-adjacent project: Main sites in Paris, London, Toronto and NYC MacOS, Windows, Linux workstations ...

creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software ...

strongest candidates combine consulting clarity with product management and a bias toward proving value through delivery. Key experience: Delivery of AI/ML, GenAI, LLM, RAG or agentic products in an enterprise setting. Product or transformation consulting experience, ideally across complex or regulated organisations. Experience in financial services, government, energy ...

evidence‐based content, working closely with clinical leads to ensure what ships is both rigorous and genuinely useful. Experiment with and integrate the latest LLM tooling, evaluation frameworks and AI techniques — we expect you to stay at the frontier and bring ideas in, not just implement what's specced. Direct ...

coaching and community leadership. Skills and experience we are looking for: You’ll bring experience in many of these areas: Delivering production AI or LLM-powered systems at enterprise scale. Expert-level Python engineering. Multi-agent architectures and orchestration frameworks. Context engineering, retrieval systems and memory architectures. MCP server ...

technical stakeholders, making complex decisions accessible and building alignment. Nice to have: Experience building conversational UIs or real-time streaming interfaces. Experience building with LLM-powered applications or AI product features. We value diverse experiences and perspectives, especially in this age of non-linear careers. We encourage you to apply ...

Data Cloud Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and program management skills — ability to run multiple work-streams, manage ...

security model to regulated buyers. You have raised a team's engineering standard and can show that engineers adopted it. You have shipped LLM or agentic systems into production with evaluation built in from the start. You have a degree in engineering, computer science or a related field, or equivalent ...

Engineer, or technical founderExperience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutionsProduction experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scaleStrong programming skills with proficiency in Python and experience building production applicationsExperience ...

technical founder Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production ...

technical founder Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production ...