151 to 175 of 2,348 LLM Jobs in the UK

development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users.* Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability.* Continuously improve model quality through tuning, evaluation, and feedback from production usage.* Evaluate ...

Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), LLM integration, Vector Databases, and AI governance frameworks. Significant experience leading technical pre-sales engagements and developing complex solution architectures. Demonstrable experience responding to large-scale ...

helping grow our AI Platform & Reliability Engineering capability. This will include: AI Platform Strategy & Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid ...

scripts to support AI-driven workflows and enterprise system integrations. Build, support, and scale AI-enhanced automation pipelines and internal developer tooling. Securely integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems. Establish prompt engineering standards, governance patterns, and evaluation metrics for AI output quality ...

operations — secrets management, IAM/least privilege, PCI DSS-aligned controls, auditability. Reliability engineering — SLIs/SLOs, incident management, cost and capacity management (incl. LLM token/credit cost control).Nice‐to‐have skillsLLMOps/MLOps — model serving, gateway/proxy management, prompt/version management, guardrails at runtime. Experience ...

systems. Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. Experience working with Data Science or ML teams to productionize AI-driven application features. ...

operations — secrets management, IAM/least privilege, PCI DSS-aligned controls, auditability. Reliability engineering — SLIs/SLOs, incident management, cost and capacity management (incl. LLM token/credit cost control). Nice‐to‐have skills LLMOps/MLOps — model serving, gateway/proxy management, prompt/version management, guardrails ...

human in the loop. Advanced modern JavaScript/TypeScript, NodeJS and React. Web development principles (REST, SPA...). Microservice architecture, AWS and DevOps. Building LLM-powered features: tool-calling, retrieval-augmented generation (RAG), evaluation/eval harnesses and observability (desirable). Familiarity with model-agnostic tooling and routing, e.g. ...

platforms using Databricks. Strong knowledge of Databricks Lakehouse, Unity Catalog, MLflow, and AI workloads. Experience developing GenAI solutions such as RAG, embeddings, and LLM integration. Experience designing agentic workflows and orchestration patterns. Strong understanding of Azure AI services and their integration with Databricks. Experience using VS Code and AI-assisted ...

software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from ...

agentic delivery. A proven track record of taking generative AI and agentic solutions from proof of concept into production, including retrieval‐augmented generation, LLM‐powered applications, agentic workflows or multimodal systems. You understand architecture, evaluation, guardrails, cost, latency, scalability, monitoring and operational support, and can identify where a proposed solution ...

Microsoft Fabric Data Factory . Experience working with cloud‐based data platforms. Excellent problem‐solving and communication skills. Nice to Have Power BI Node.js LLM/Generative AI experience Data Science experience Certifications (Preferred) The following certifications are advantageous but not essential : Microsoft Certified: Fabric Analytics Engineer Associate ...

modern engineering practices such as Docker‐based workflows and infrastructure as code. Practical understanding of AI‐enabled engineering and product use cases, including common LLM concepts and considerations such as privacy, security, bias, governance, and cost. Clear communication skills, with the ability to work effectively with engineers, product managers ...

stack development experience (React/Node.js, .NET/C#, Python/FastAPI). Proven background delivering production software in client-facing environments. Experience with LLM integration, prompt engineering, RAG or agentic AI development. Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor). Hands-on experience with Azure cloud ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

Assistance Programme, Career Development and Counselling. A range of generous Parental Leave offerings.#LI-EUSNGCR01What We Are Looking ForProduction GenAI experience. Experience delivering GenAI and LLM-based solutions into production environments. You understand the realities of operating, monitoring and evolving AI systems at scale. Customer domain expertise. Experience applying ...

Assistance Programme, Career Development and Counselling. A range of generous Parental Leave offerings.#LI-EUSNGCR01What We Are Looking ForProduction GenAI experience. Experience delivering GenAI and LLM-based solutions into production environments. You understand the realities of operating, monitoring and evolving AI systems at scale. Customer domain expertise. Experience applying ...

hackajob is partnering directly with Accenture to hire for this role. AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that … cloud vendor. Practical experience in the Agentic,LLMand Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience ...

Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch). Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability ...

science portfolio. The work may include machine learning models, NLP pipelines, entity extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems and RAG where relevant. You will work closely with product, engineering, content, domain experts, and business stakeholders ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … through applied AI. You will own the reliability, performance, and cost-efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM and llm-d) in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … through applied AI. You will own the reliability, performance, and cost-efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM and llm-d) in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … through applied AI. You will own the reliability, performance, and cost-efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM and llm-d) in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering ...

preferred. Job responsibilities Delivery & AI Engineering Oversight End-to-End AI SDLC Delivery: Drive the full lifecycle of complex software programmes incorporating AI (Custom LLM solutions, RAG architectures, Agentic Workflows, and AI-powered SDLC tooling) from discovery to production rollout. AI-Assisted SDLC Transformation: Lead initiatives to integrate AI tools ...

Capabilities, and Skills: Hands‐on experience with data lineage tools and techniques, including graph & vector databases and metadata management platforms Hands‐on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale Familiarity with business‐led analytics delivery models and rapid prototyping frameworks Experience with AI/ ...