426 to 450 of 2,260 LLM Jobs in London

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

based environments. Experience with video curation or data preparation frameworks, or with building scalable batch and streaming data pipelines. Experience with multimodal AI, including LLM or VLM APIs, image and video understanding, embeddings, structured outputs, tool or function calling, and retrieval-augmented generation. Experience deploying and optimising AI inference workloads ...

coaching teams or colleagues in delivery practices, stakeholder engagement, work management, facilitation, governance or continuous improvement. An understanding of modern AI delivery patterns, including LLM-enabled workflows, agentic systems, tool integration, evaluation approaches, and the practical risks of moving from prototype to production. Experience leading teams where engineers work with ...

built for long-term impact.**How You’ll Contribute**· Design and implement AI systems end-to-end, contributing to technical direction and architecture· Build LLM-powered and agent-based solutions from concept through to production· Contribute to engineering standards, patterns, and reusable components across use cases· Make informed technical decisions ...

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

springboot experienceSolid AWS cloud knowledge, particularly serverless and managed services (Aurora Postgres, EC2, S3)Node.js development experienceAn AI-first development mindset: you actively use LLM tools (Claude, GitHub Copilot, or similar) to augment your engineering workflow and are comfortable pushing the boundaries of what's possible with AI-assisted developmentAbility ...

frameworks (Google ADK, LangGraph), LLMs (Gemini, Claude, open-source), cloud and database architecture (Cloud SQL, Firestore, BigQuery, Postgres), and AI security & observability (OpenTelemetry, guardrails, LLM gateways).Data & Workload Orchestration: Mastery of data preparation strategies for AI workloads, data acquisition, and orchestration frameworks for both data and AI pipelines. Platform Architecture ...

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 owning reliability and operations for software ...

technical domain in the platform space (eg. Container Orchestration, Kafka, Build Systems, Observability) Background in building AI-assisted developer tools or integrating LLM-backed Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. ...

Apex* 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 programme management skills — ability to run multiple workstreams, manage stakeholder expectations ...

deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay ...

bigger picture and plan how to architect and scale them successfully to serve our customers. Technologies we use (not exhaustive): Claude Code, with other LLM tools also available Python, Django, Go, React, RabbitMQ, Celery, MySQL, DynamoDB, Elasticache, Redis Amazon Web Services (EC2, RDS, Aurora, SQS etc.), Terraform, Kubernetes, Splunk, Buildkite ...

leadership. Skills and experience we are looking for Extensive experience leading the strategy, architecture, delivery, and operation of complex applied AI, machine learning, or LLM-powered systems at enterprise scale, with accountability for business-critical outcomes. Recognised technical authority with a proven track record of setting technology direction, making high ...

similar orchestration platforms. Knowledge of policy-as-code and security governance. Familiarity with supply chain security and software integrity. Experience evaluating AI/LLM security, agentic systems or model governance. You will be: An excellent communicator, able to produce clear incident reports, technical documentation and stakeholder updates. A pragmatic problem ...

BarWinning TogetherDelivering with SpeedWe are an AI-first companyWe don't just build software. We build intelligent systems. From AI-assisted development workflows to LLM-powered product features, we expect every engineer to embrace and actively shape how AI changes what we ship and how we ship it. ...

JavaScript, Java, or ApexProven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomesExperience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practicesStrong project and program management skills — ability to run multiple work-streams, manage stakeholder ...

behind them, with good judgment on realism and validity limits. Practical familiarity with evaluating AI systems and their failure modes, across classic ML models, LLM-based systems, and AI agents. Fluency in Python for statistical analysis, data preparation, and reproducible evaluation workflows. A rigorous approach that values evidence, clarity ...

enterprise customer on the same incident and land it with all three. Nice to have: securing AI product features, OWASP Top 10 for LLM Applications, the NIST AI Risk Management Framework, MITRE ATLAS, SOC 2, or ISO 27001. Education Degree in a STEM field, preferably Information Security or Computer Engineering ...

Strategy & Authority Ultimate Technical Authority: Serve as the final technical escalation point for your portfolio. Maintain deep architectural judgment across the Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration. Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly to help ...

approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows ...

future contested multi-domain environments. You'll join a small, multinational team of engineers spanning multiple disciplines such as wargaming, game engineering, HPC simulations, LLM agents and VR environments; all to give our warfighters and researchers the leverage to explore faster, test more ideas, and better understand tomorrow’s war.ABOUT ...

future contested multi-domain environments. You'll join a small, multinational team of engineers spanning multiple disciplines such as wargaming, game engineering, HPC simulations, LLM agents and VR environments; all to give our warfighters and researchers the leverage to explore faster, test more ideas, and better understand tomorrow's war. ...

will design and operate MCP-based platforms and collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI, and Kubernetes, plus experience with RAG and tool orchestration in an enterprise setting. #J-18808-Ljbffr ...

diverse use cases, while designing sophisticated RAG architectures and deploying production-grade voice AI applications. The role demands hands-on RAG systems experience, strong LLM expertise, and a solid software engineering background, paired with excellent communication skills #J-18808-Ljbffr ...

Agentic AI and Generative AI solutions for an Investment Banking client in London. The role involves hands-on Python engineering, AI agent development, LLM integration, and RAG workflows in a highly regulated environment. The ideal candidate will bring strong Python skills, experience with OpenAI GPT and Anthropic Claude ...