926 to 950 of 2,427 LLM Jobs in the UK

Sheet Modelling. Lead AI solution architecture across a complex enterprise environment. Develop architecture principles, design standards and governance frameworks. Assess AI ecosystem capabilities, including LLM, ML and AI coding technologies. Define AI operating model and organisational design options. Evaluate build, buy and hybrid approaches and provide recommendations. Provide architecture guidance ...

Sheet Modelling. Lead AI solution architecture across a complex enterprise environment. Develop architecture principles, design standards and governance frameworks. Assess AI ecosystem capabilities, including LLM, ML and AI coding technologies. Define AI operating model and organisational design options. Evaluate build, buy and hybrid approaches and provide recommendations. Provide architecture guidance ...

working results. Bonus Points These aren't requirements, but they'd make you stand out: Experience with inference serving stacks (vLLM, SGLang, TensorRT-LLM, Triton). A track record of contributing to or maintaining open source developer tools and ML ecosystem projects Experience writing technical documentation and developer education content. ...

systems language - Rust, C++, or Go Hands-on experience with PyTorch or JAX in an industry setting Experience with inference frameworks: vLLM, SGLang, TensorRT-LLM Solid distributed systems fundamentals and experience operating production ML infrastructure Working knowledge of modern ML including transformers and multimodal architectures Optional Bonus Research engagement: advanced ...

cost per token, partnering with the CUDA/GPU engineersMake the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server or equivalents)Translate throughput, latency and uptime commitments into concrete technical specifications and serving capacity plansAct as direct technical owner of inference ...

cost per token, partnering with the CUDA/GPU engineers. Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents). Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans. Act as a direct ...

builder, added with: Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. ...

optimise workflows and feedback loopsOwn content modelling, taxonomy, and information architecture frameworksEnsure alignment with SEO, legal, and compliance standardsDrive adoption of AI and LLM tools within content design workflowsTake accountability for delivery, managing risks and maintaining qualityProductOwn end-to-end content strategies and app-first experiencesLead UX writing and system ...

deepset At deepset, we're on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise-ready AI Platform helps companies turn large language models into business value. We're remote-first, flexible, and built ...

delivery requirements aligned to organisational risk appetite. Experience with relevant AI security, risk and governance frameworks, such as NIST AI RMF, OWASP guidance for LLM applications, ISO/IEC 42001 or equivalent industry practices. Familiarity with privacy, data protection, regulatory and compliance considerations relevant to AI adoption, including sensitive data ...

tooling: build systems (Vite,rollup), testing frameworks (Vitest,Playwright) andCI/CD pipelines Familiarity with AI concepts and tooling — including AI-assisted development, LLM integration in web applications; practical experience is a strong plus A solid grounding in core computer science fundamentals: data structures, algorithms and system design Experience with ...

delivery requirements aligned to organisational risk appetite. Experience with relevant AI security, risk and governance frameworks, such as NIST AI RMF, OWASP guidance for LLM applications, ISO/IEC 42001 or equivalent industry practices. Familiarity with privacy, data protection, regulatory and compliance considerations relevant to AI adoption, including sensitive data ...

scale Content AI capabilities, translating research into production solutions. You will design end-to-end ML pipelines, collaborate with cross-functional teams, deploy LLM applications, and monitor model quality in production. Join a global tech org committed to innovation, inclusion, and travel experiences. #J-18808-Ljbffr ...

hiring a Senior AI Deployment Engineer to lead end-to-end AI-enabled engagements across the business. You will deploy AI-driven solutions, integrate LLM components with the Moneybox platform, and work with Decisioning and Data Science teams to ship production-grade features. This role emphasizes safe, scalable AI systems ...

monolith with React frontends on GCP, and you will have room to shape the ML stack. Your background Strong ML fundamentals. You understand modern LLM training and post-training, and can reason about model behaviour from first principles. Rigorous about evaluation. You care about measurement quality and can design tests ...

Understanding of GenAI/LLMs and AI security risks . Threat modelling experience. Strong stakeholder and communication skills. Knowledge of NIST AI RMF, OWASP LLM, MITRE ATLAS or ISO 27001 is desirable. Certifications such as CISSP, CISM, CCSP or GIAC are advantageous. UK security clearance may be required , with some ...

defining evaluations, identifying bottlenecks, building solutions, and shipping them safely Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring Make trade-offs across quality, latency, reliability ...

university or equivalent experience) and are language-agnostic, picking the right tool for the job. AI-Native: You are already a sophisticated user of LLM tools (e.g., Claude Code, Cursor, etc.) for coding. You understand their strengths, weaknesses, and how to build systems that leverage them effectively. High-Leverage & High ...

Work On Owning the product strategy and a rolling 3-6 month roadmap for AI agents that automate advice workflows Translating agentic and LLM capabilities into experiences advisers trust with regulated work, where evidence and auditability sit behind every material output Running independent discovery with advisers and paraplanners, distinguishing signal ...

roadmap for AI agents that automate advice workflows: meeting capture, research, suitability reports, annual reviews, compliance checks and ongoing client servicing Translating agentic and LLM capabilities into experiences advisers trust with regulated work, where evidence and auditability sit behind every material output Running independent discovery with advisers and paraplanners, distinguishing ...

techniques Experience executing on processes in scope of the Information Technology Infrastructure Library (ITIL) framework AI skills/integration - familar with Co Pilot/LLM suite Strong communication skills (written and verbal) and strong client engagement skills Proven ability to translate technical concepts to a non-technical audience and vice ...

model development Vulnerability research tools and frameworks OS/networks/system architecture Reverse engineering Nice to have Experience researching AI, ML, or LLM security risks Track record turning research into working prototypes or customer-facing demos Ability to communicate complex findings to specialist and non-specialist audiences Security clearance ...

model development Vulnerability research tools and frameworks OS/networks/system architecture Reverse engineering Nice to have Experience researching AI, ML, or LLM security risks Track record turning research into working prototypes or customer-facing demos Ability to communicate complex findings to specialist and non-specialist audiences Security clearance ...

week. Experience with our stack is welcome, not required. Global comfort. Four regions, several languages, overlap with US hours. Big Advantage:: hands-on LLM tooling beyond vendor UIs (Claude Code, MCP, custom agents); time in or working with SDR/BDR and demand gen function in B2B SaaS.The stack ...

code better than you. You're excited by the specific problem here - not just AI in the abstract, but the precise challenge of making LLM-led conversational flows deterministic enough to operate in a regulated financial services context. You understand why that's hard. You want to build a company ...