976 to 1,000 of 2,427 LLM Jobs in the UK

Healx is seeking an Agentic AI Engineer to design and build LLM-agentic workflows powering its drug discovery platform. You will work with scientists to define problems, architect agents that reason over data sources, and integrate with a knowledge graph and proprietary methods. The role sits in a hybrid setup ...

high-value contracts, collaborating with our CTO to deliver production-grade AI for Fortune 500 procurement teams. You will design multi-agent systems, deploy LLM workflows, and connect AI agents to major procurement tools (SAP, Oracle, Coupa, GEP) while ensuring security, compliance, and explainability across deployments. #J-18808-Ljbffr ...

functional team, shaping the product roadmap, fostering best practices, and driving adoption of cloud-first technologies across Azure, PostgreSQL, MongoDB, and a multi-provider LLM stack. #J-18808-Ljbffr ...

partnering with a fast-growing AI startup in Central London. They are hiring a Staff Software Engineer to build AI-powered products, deploy LLM-driven workflows, and own full-stack features across the platform. This hands-on role demands breadth across Python, TypeScript and modern frontend frameworks, and a product ...

small, high-calibre team. Strong TS/React and Python experience are valued, as is the ability to deploy AI/LLM-powered products. #J-18808-Ljbffr ...

least one data platform (Snowflake, Databricks). Excellent written and spoken English; comfortable presenting to CxOs. Nice to have Prior work with LLM/agent platforms in regulated environments. What we offer Pension 8% employer match Annual bonus up to 20% #J-18808-Ljbffr ...

near London, 2 days/week minimum in office About You - Bonus TypeScript, Electron, or desktop app experience Built or integrated AI/LLM features in production Previous startup experience (10-50 person team) You have hired or mentored, or want to start What We Offer Competitive salary + ...

streaming systems strong data-engineering and feature-engineering expertise experience building adaptive trust, behavioural intelligence, or signal-fusion platforms practical experience integrating AI/LLM systems into production environments excellent written and verbal communication skills in English Experience with Kafka/Pulsar, CAEP, RISC, feature stores, OPA/Rego, Zero ...

very fast-moving startup with significant ownership Strong TypeScript/React and Python experience would be particularly relevant, as would experience deploying AI or LLM-powered products into production. We’ll also consider exceptional engineers from top‐tier technology companies, startups or quantitative/trading environments who haven't formally ...

between business and technology teams, ensuring stakeholders have clear visibility of priorities, progress and upcoming releases. Stay informed on emerging technologies, including AI and LLM capabilities, and identify relevant opportunities for product innovation. Requirements: Bachelor's degree in Business, Finance, Engineering, Computer Science or a related discipline. 5+ years ...

proficient in SQL and experienced with Python, DBT, or similar tools for building and maintaining reliable analytical datasets You leverage state of the art LLM models to do your analysis while ensuring quality and accuracy in the output You communicate clearly across functions, influence decisions with senior stakeholders, and help ...

Nice to have Experience with configuration management, workflow builders, or multi-tenant SaaS platforms HIPAA-regulated or compliance-heavy environment experience Voice/telephony, LLM, or conversational AI product experience Background building tools used by healthcare operations or IT teams Top-tier health coverage: medical, dental & vision 401(k) Paid ...

production environment, preferably client-facing Background in Solution Architecture or Software Engineering with a strong grasp of AI/LLM systems: agent architectures, MCP or comparable tool-use protocols, evals, and prompt-to-production workflows Experience navigating C-suite relationships and influencing executive decisions in ambiguous environments Track record ...

awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired ...

before they become fires. On the AI side: we're native by design. Cursor, Claude, the lot. You'll design agentic workflows (automated reviews, LLM-assisted QA) and contribute directly to AI-powered features - RAG, function calling, evaluation frameworks. You'll also help pick the tooling and set the patterns ...

awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive ...

years close to how finance teams actually work – accounting, process design, consulting, or technical customer success You build & tinker. Vibe coding, data pipelines, and LLM agents are tools you reach for, and you ship working software, not slideware You're fluent enough in finance to hold your own with ...

Preferred Hands on experience with retail media platforms, Amazon, Walmart, or TikTok Shop seller tools, or creator commerce. Experience using AI tools, such as LLM based assistants or automations, to speed up analysis or reporting. Consumer products, retail, or marketplace experience. Our Culture At SharkNinja, we don’t just raise ...

going to teach these; we're going to learn them from you. You reach for AI tools as naturally as design tools. LLM-assisted prototyping, code editors, component generation, workflow automation — and you have a point of view on where they genuinely increase velocity versus where they produce plausible-looking ...

product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop … agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces, or agentic workflows. Experience working with business-critical systems where reliability, maintainability, operational support ...

different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + … institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state ...

YOUR ROLE This is a high impact role in the Cloud Advisory capability unit contributing to our leadership in cloud transformation across our clients in different industry sectors. As a Consultant/Senior Consultant – Cloud ...

CAPGEMINI INVENTAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation ...

operationalize Comply’s semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM‐powered pipelines. This is a hands‐on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery … data in vector space. Build and operate vector database infrastructure for semantic search and similarity retrieval. Implement RAG (Retrieval‐Augmented Generation) architectures that ground LLM outputs in Comply’s proprietary data. Evaluate and integrate LLM tooling and frameworks appropriate to Comply’s use cases. Build reliable, observable data pipelines that ...

living specification and a single source of truth for product and architectural knowledge in software-building organizations. Задачи Design and build ML/LLM solutions for data ingestion, knowledge extraction, retrieval, and reasoning; Create datasets, metrics, and pipelines that drive measurable system improvements; Architect and improve agents for context retrieval … five years of experience in ML/AI systems, including at least two years focused on LLMs and generative AI; Deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches; Hands-on experience with prompt engineering and LLM pipeline design, including evaluation; Experience with agentic frameworks such ...