176 to 200 of 1,180 LLM Jobs in England

AI Technical Lead | Staff Software Engineer | Forward Deployed Engineering Team Lead | Principal AI Engineer Bristol | London | Manchester | Cambridge (Hybrid - 2 Days Per Week Onsite) £80,000 - £130,000 + Bonus + Comprehensive Benefits Build the ...

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 ...

AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior Manager – AI Engineer to join its AI & Data ...

Were looking for a Senior AI Engineer & Data Science Consultant to join our team in London, United Kingdom in a hybrid working mode. This role is part of EPAM’s Data & AI Practice and combines ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and ...

executive and practitioner audiences. Bachelor's degree or equivalent experience in a technical or business field. Bonus qualifications Experience with AI accelerators or GPUs LLM fine‐tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary ...

Workbooks. Langfuse, including designing and conducting evaluations and assessing outcome quality and value relative to token usage and cost. Datadog for logging, observability, and LLM analytics. RAG, vector databases, and advanced retrieval techniques. LiteLLM as an AI and Model Context Protocol (MCP) gateway. MCP gateways and their integration with ...

Workbooks. Langfuse, including designing and conducting evaluations and assessing outcome quality and value relative to token usage and cost. Datadog for logging, observability, and LLM analytics. RAG, vector databases, and advanced retrieval techniques LiteLLM as an AI and Model Context Protocol (MCP) gateway. MCP gateways and their integration with ...

Master’s degree or equivalent experience Engineering background preferred Fluency in SQL, Python, GCP and Data Science, hands on coding ability Understanding of LLM‐based systems, prompt design, and AI model evaluation frameworks Familiarity with automation frameworks and observability tools (Amplitude, Datadog, Looker) to assess reliability and performance Strong data ...

Define GPU compute strategy across Kubernetes, Vertex AI and SageMaker, balancing performance, scalability and cost efficiency. Drive the production adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, experimentation and governance. Collaborate with engineering teams to resolve cross‐platform dependencies and remove technical blockers before they ...

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 ...

Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable ...

scale RAG architectures and retrieval evaluation. Knowledge of emerging open knowledge standards and interoperable knowledge formats. Experience with context engineering for AI agents and LLM applications. Experience designing knowledge graphs and semantic data models. Familiarity with modern orchestration, workflow and data engineering platforms. Experience supporting AI, machine learning or autonomous ...

Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines andMLOpstooling. The roleis responsible forestablishingAI engineering standards,governanceand best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business ...

culture of rigorous experimentation, rapid productization, and clear business accountability.Applied AI Delivery* Oversee the design and delivery of production AI systems - agentic workflows, LLM-powered co-pilots, ML inference pipelines, embedded into live front-office operations.* Ensure solutions integrate seamlessly with core systems and existing architectures.* Drive the transition from ...

data science experimentation, MLOps, API integrations, and application deployment. Support external data ingestion, scheduling, BI connectivity, developer tooling, and operational reporting. Enable AI and LLM integration patterns. Develop migration strategies for workloads currently hosted on POSIT. DevOps & Platform Engineering Define and implement platform engineering standards and self-service capabilities. Design ...

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 ...

design decisions across teams. Pragmatism under real‐world constraints, choosing achievable solutions over theoretical perfection. Highly desirable: hands‐on exposure to AI‐assisted engineering (LLM APIs, agentic coding tools, prompt‐driven workflows), experience taking early‐stage products from PoC/MVP to production, AWS experience, domain experience ...

comfortable discussing agent architectures, system design, data flows, tradeoffs, and constraints. Hands‐on ability to prototype: capable of using APIs/SDKs from major LLM providers and writing simple code (e.g., Python or TypeScript/JavaScript) to stitch together prompts, tools, and agent workflows. Proven track record of taking ...

solutions powering customer-facing products worldwide. You’ll work with Product, Platform and Engineering to develop production-grade AI systems, autonomous agents and LLM-powered applications. You’ll design and deliver production-ready AI solutions, build autonomous agents, orchestration, prompt engineering and Azure deployment. #J-18808-Ljbffr ...

platforms. Responsibilities include AI solution design, cloud engineering on GCP, data, MLOps, Responsible AI governance, and collaboration with underwriters and operations. Strong Python and LLM experience required. #J-18808-Ljbffr ...

senior AI/ML Scientist to deliver end-to-end AI solutions, from research to production, in a financial services context. You will design LLM/GenAI systems, RAG pipelines, and GraphRAG representations, collaborating with data and platform teams. The role emphasises experimentation, evaluation metrics, and production observability of LLMs ...

platform team. You will own delivery of high-stakes customer projects, embedding at client sites to architect, build, and deploy multimodal AI systems and LLM applications. You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps ...

brilliant opportunity! \n The following skills/experience is essential: \n \n Hands-on experience with advanced RAG systems \n Strong experience with LLM technologies \n Agentic AI experience \n Software Engineering background \n Good communication skills \n\n Salary: Up to £95,000 + bonus + package \n Location ...