301 to 325 of 2,311 LLM Jobs in London

Expert (OSWE) - PreferredOffSec (OSAI) - PreferredGIAC Web Application Penetration Tester (GWAPT)Burp Suite Certified Practitioner (BSCP)Pentester Academy Cloud Security Professional (PACSP)AI/LLM Penetration testing experienceAcknowledged findings in a responsible disclosure or public, private Bug Bounty program. Certified Kubernetes Security Specialist (CKS)Terraform Associate (003)DevSecOps experienceEducation and ExperienceMinimum ...

event-driven data pipelines. Knowledge of data visualisation preferably Tableau or Metabase. Experience making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces. Experience supporting product analytics or building data-powered product features. Benefits 25 days holiday plus bank holidays; 3 days winter leave; Work from ...

best practices across delivery programs. Design secure, resilient, highly available AI systems at enterprise scale, across structured and unstructured data. Design and deliver LLM-powered applications: conversational AI, enterprise copilots, knowledge management, and workflow automation. Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design … Personal attributes we would like to have: Core Knowledge Expected Programming & engineering : expert Python; REST APIs and microservices; FastAPI; distributed systems; cloud-native architecture. LLM application delivery: prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with ...

We're looking for a Senior Data Analytics & AI Consultant to join our team in London, UK, in a hybrid working mode. In this role, you will operate at the intersection of business strategy, advanced ...

emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi ...

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes in line ...

systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches, including model selection, fine-tuning, evaluation, and failure analysis Define and drive experimentation strategy, including offline evaluation and online testing, to rigorously measure impact ...

part of a rapidly scaling Legal AI business Company is actively hiring and expanding its engineering team Work directly on production Generative AI and LLM applications Hands-on exposure to RAG, AI Agents and emerging AI technologies Significant technical ownership and influence Opportunity to contribute to AI architecture and engineering ...

doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‐latency, high‐reliability experiences ...

high-growth environment.- Experience deploying AI agents in complex coding or business workflows.- Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration.- Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content or data ...

records are maintained. Maintain awareness in developments in Artificial Intelligence (AI) and Machine Leaning (ML), including Generative AI, Agentic AI and Large Language Models (LLM) and their use in the development of IXICO computerized systems and products/services. Ensure the IXICO Management System incorporates regulatory requirements ...

Demonstrable experience designing and delivering AI or data solutions for customers (not internal or academic projects).Background in one or more of: NLP/LLM applications, AI-enabled automation, predictive analytics, or knowledge management systems. Experience working with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI or similar ...

seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data‐driven applications in collaboration with Product, Business and Engineering teams. ...

highly skilled Managing Consultant with hands‐on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product ...

subject-matter capability in AI/ML use case and model governance and oversight, with experience across the full model lifecycle, including GenAI/LLM patterns and third-party/open-source/hosted model components. Advanced proficiency in model risk management, utilising techniques to identify, assess, mitigate risks ...

computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure to model risk ...

computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure to model risk ...

computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure to model risk ...

comfortable diving into challenging, ambiguous projects with support. If needed capable and willing to obtain Government Security Clearance Nice to Have AI/LLM integration experience (APIs, RAG, tool calling, agent frameworks, hosted or local inference). Background improving legacy systems through testing, refactoring, and reducing technical debt. Breadth across ...

designed Time spent at a startup or scaleup (roughly 30 to 100 people), not exclusively large corporate environments Hands‐on experience shipping AI or LLM features to production: agentic workflows, RAG, or tool use Strong SQL and solid experience with PostgreSQL or an equivalent relational database A genuine preference ...

environments Ability to navigate complex technical and organizational environments independently Strong communication and problem-solving skills Nice To Have Familiarity with Generative AI systems, LLM applications, AI infrastructure, or model deployment workflows Experience working in financial services, healthcare, government, or other regulated industries Familiarity with enterprise security, governance, compliance ...

degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferredStrong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, WindsurfSolid understanding of the ML lifecycle; exposure to model risk ...

platform remains both powerful and trustworthy The opportunity is massive: you’ll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform This isn’t about saying “no”—it’s about finding creative ways ...

Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster. What ...

onboarding and growth tracking. Concretely, that means leading the team(s) across surfaces like: Diagnosis & needs assessment — AI-heavy services (retrieval-augmented generation (RAG), LLM-scored assessment) that turn raw signal into a picture of where a learner or employer actually is. Prescription & eligibility — build the product which helps learners ...