451 to 475 of 2,260 LLM Jobs in London

design through production with guardrails. The role emphasizes security tooling, evaluation, and cost optimisation. Ideal candidates have strong Python skills, some Go, experience with LLM-based AI apps, and a hands-on approach to building scalable systems #J-18808-Ljbffr ...

/AI engineer in Greater London to build, train and deploy production-ready models for forecasting, recommendations, and in-store analytics. You will design LLM-powered features and ensure end-to-end production readiness from data to monitoring. Ideal candidates have 5+ years of hands-on ML, strong Python ...

Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

audits or customer due diligence Strong communication skills with the ability to work effectively with engineers, leadership and external stakeholders Desirable: Experience securing AI, LLM or agentic applications Knowledge of ISO 42001, EU AI Act or AI security risks Financial services or other regulated industry experience Experience with Kubernetes, infrastructure ...

.NET Microsoft Azure Azure Functions Event-driven/queue-based architectures APIs and systems integration Software engineering and code review Experience building AI/LLM applications, AI agents, tool-calling architectures or MCP integrations would be particularly valuable. Exposure to document processing, extraction pipelines or regulated Financial Services environments would ...

stakeholder-management skills, alongside a good understanding of APIs, connectors, identity, permissions, data governance and enterprise integration. A practical understanding of Generative AI and LLM concepts, including grounding, retrieval, prompt design, hallucination risks and agent orchestration is also important. Experience with Microsoft Graph, Power Platform, Azure, Salesforce or ServiceNow would ...

shipped code and earn the mandate to scale a dedicated team. What You’ll Do Ship Code: Design, code, and deploy custom AI agents, LLM pipelines, and system integrations from scratch. Automate Core Operations: Sales: Lead gen tools, personalized outreach, pipeline tracking. Finance: Automated timesheet reconciliation, invoicing checks ...

marketplaces or AI products Nice-to-have Django, Vue, React or PostgreSQL experience Familiarity with GCP, CI/CD or cloud deployment Experience with LLM APIs, RAG or AI agents Product or UX interest What success looks like You will succeed if you: Learn quickly and ship useful improvements ...

OpenTelemetry and Datadog to ensure we detect issues before our users do. AI Performance Tuning: Tune autoscaling and network routing to handle resource-intensive LLM workloads with ultra-low latency. About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling ...

teams. Hands-on experience building and deploying practical technology solutions in complex enterprise environments. Strong understanding of modern AI systems and agentic workflows including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows. Ability to analyse complex workflows, simplify ambiguity and translate business ...

CrewAI, ADK) and complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience in a post‐sales or technical consulting delivery function. Knowledge of LLM‐native metrics (e.g., tokens/sec, cost‐per‐request) and techniques for optimizing state management and granular tracing. About the job As an AI Forward ...

software development principles, design patterns, and best practices. You have experience in cloud platforms, deployment processes, and OAuth -like flows. Ideally with experience integrating LLM providers. You are a practitioner of AI-native development . You don't just use AI, you orchestrate it. You are comfortable using structured prompt ...

knowledge graph, or semantic layer programme. Familiarity with enterprise data catalogue tools and how they interact with a semantic layer. Exposure to conversational AI, LLM-powered tools, or agent-based workflows, and how semantics improve their reliability. Familiarity with version control (Git) and treating ontologies/models "like code".Why ...

debug, and optimize code to execute with minimal CPU and memory footprints in highly constrained environments. Tooling Leverage: Proactive adoption and strong leverage of LLM/AI coding tools (e.g., GitHub Copilot, Cursor) to accelerate development and automate repetitive workflows. Autonomy & Problem Solving: Capability to diagnose complex, asynchronous race conditions ...

customer sites one to two times per month. German speaking a must-have . Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale-up experience. Who Thrives at Gravitee ...

something you built, not just shipped it and walked away. Extra credit if you've built and deployed AI agents, integrated AI/LLM-based solutions into existing workflows, or built automated pipelines end to end.Location and working policy Dublin or London, HybridThe good stuff25 days off, plus public holidays. ...

data transformations. Experience coding in Python is also relevant. Strong experience with data modelling for scale and reusability. Demonstrated experience using current LLM offering to meaningfully improve your own or your team's workflows or results - with concrete examples of what you automated, sped up, or offloaded, and the measurable ...

technical audience* Experience with containerised environments (Docker, Apptainer etc.)* Experience running code on high-performance computing clusters (or equivalent cloud environment) Experience with LLM/agentic frameworks (such as LangChain, LlamaIndex, DeerFlow, Haystack, or others)* Experience developing and evaluating agents, skills, tools, or MCPs* Minimum criteria* About Working ...

technical audience* Experience with containerised environments (Docker, Apptainer etc.)* Experience running code on high-performance computing clusters (or equivalent cloud environment) Experience with LLM/agentic frameworks (such as LangChain, LlamaIndex, DeerFlow, Haystack, or others)* Experience developing and evaluating agents, skills, tools, or MCPs Minimum criteria* About Working ...

within complex enterprise environments. You will also help shape the conversational experience layer by translating customer requirements into AI Agent behavior through prompt engineering, LLM concepts, and conversational design. Prior conversational design experience is valuable but can be further developed on the job. You will work closely with strategic partners ...

ensure KPI definitions, business logic and product instrumentation are accurate, scalable and trusted. Bring a curious eye to AI and machine learning techniques, including LLM-assisted analysis, to speed up insight generation, customer understanding and product measurement. You'll be great for this role if...You have strong SQL skills ...

platform engineering roles.5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads.Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes.AI Hardware & Data Center InfrastructureGPU/accelerator architectures: NVIDIA … TensorFlow at a working, hands-on level.Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks.Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms.MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

platform engineering roles.5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads. Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center InfrastructureGPU/accelerator … working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM ...