351 to 375 of 2,329 LLM Jobs in the UK

comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with ...

Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architecturesHands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding ...

Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

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 ...

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 ...

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 ...

experts to validate accuracy and relevance Perform independently in a fast-paced, intellectually intense, service-oriented environment AI application and innovation Understand AI and LLM fundamentals (e.g., model behaviour, token limits, embeddings, prompt memory, retrieval augmentation) to guide responsible and effective use Design logic, feedback rules, and guardrails ...

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 ...

other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor Who were looking for Were looking for a Lead Software Engineer with a path ...

platforms, application programming interfaces, and modern software delivery practices. Hands-on experience designing and deploying AI and machine learning solutions in production, including large language model applications, evaluation frameworks, observability, and operational support models. Demonstrated ability to quantify business value, prioritise a portfolio of initiatives and track outcome realisation beyond ...

ship production AI-enabled software across the full stack, with a focus on Python backend services, APIs, and multi-cloud deployments. You will implement LLM-driven workflows, bring up model gateways, and support CI/CD pipelines in a Kubernetes environment, ensuring secure data handling and observability at enterprise scale. ...

integrating AI capabilities with existing applications and data. What we're looking for Strong Python development experience Hands-on experience building Generative AI/LLM applications Experience with RAG pipelines Understanding of AI agents/agentic workflows AWS experience Experience taking applications into production You'll need to be comfortable ...

deployment processes, methods, and tools.Providing architectural support and assurance to DevOps teams, with application of agile practices.Ability to work with cutting-edge AI LLM technologies, producing work in conjunction with models such as Anthropic Claude, whilst experimenting and exploring different methods of co working with AI.Your education and qualifications should ...

control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness ...

define the long‐term quality and governance model for federated MCP contributions across LSEG.Skills\* Strong Python experience for test harnesses and automation.\* Experience with LLM and RAG evaluation frameworks or custom evaluation pipelines.\* Test automation expertise covering unit, integration, and regression testing.\* Understanding of agentic system risks and failure modes. ...

step-by-step disclosure to humans and LLMs. Seed report and dataset inventories from existing application metadata tables and ETL sources; combine them with LLM-drafted descriptions approved by stewards. Integrate lineage into the client's lineage backend across batch, streaming and cross-system report chains, completing the client ...

network security controls. Terraform or other infrastructure-as-code tooling. Databricks integration. API policies, rate limiting, validation and request transformation. Experience supporting AI, LLM or data-driven applications. About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence ...

Exceptional written and verbal communication skills; able to translate complex technical concepts for business audiences and vice versa Preferred Qualifications Experience with AI/LLM‐adjacent products — including RAG pipelines, knowledge graphs, embedding models, or MCP/API integrations powering AI applications Familiarity with Agentive AI architectures and how knowledge ...

services and enabling technologies across Azure (e.g. APIM, Azure AI Foundry, Databricks, MCP) that accelerate delivery of AI solutions such as Agents, RAG, and LLM-powered applications. You will work closely with architecture, AI engineering, and product teams to translate business needs into robust, platform‐first solutions, ensuring alignment with ...

engagement. \* Ability to translate complex AI/ML designs into clear documentation. \* Knowledge of enterprise architecture principles (security, cloud, data, resilience). \* Familiarity with LLM, RAG, and agentic system architectures and risks. \* Strong stakeholder management and communication skills across technical and non-technical audiences.**Career Stage:**Manager**London Stock Exchange ...

technical leadership across a multidisciplinary AI engineering team Shape the architecture and technical direction for AI across the product suite Lead the delivery of LLM, RAG and agentic AI solutions Take ideas from discovery and proof of concept through to production Establish standards for evaluation, security, observability, governance and cost ...

Maintain comprehensive documentation of models, experiments, and processes Deliver written, visual, and oral presentations of modeling results to stakeholders Stay current with research in LLM, ML, and data science Identify and leverage emerging techniques to enhance solutions Required Qualifications, Capabilities, and Skills Formal training or certification in data ...

tooling. Experience with OpenTelemetry or large-scale observability systems. Experience operating multi-tenant SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata and discovery endpoints, deterministic outputs. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience ...