476 to 500 of 884 Retrieval-Augmented Generation Jobs in England

complex or ambiguous cross-functional operational challenges where requirements are not fully formed. Understanding of AI concepts (e.g. prompt engineering, retrieval ‐ augmented generation). Experience with system integration, APIs and data connectivity. Strong stakeholder engagement skills, with the ability to translate technical solutions into ...

welcoming environment, for everyone. Your skills and experience • Solution architecture experience • Generative AI technology experience such as Resource Augmented Generation (RAG), knowledge graphs, advanced prompting, cloud based AI services such as Azure OpenAI, agent frameworks e.g. CrewAI, MCP • Software engineering experience. A lot of AI solutions ...

following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems. Experience with Kubernetes, GitOps such as ArgoCD, infrastructure ...

wider organisation.About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible … practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support.Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability.Experience with agentic workflows, tool orchestration, and multi-step AI processes.Strong ...

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 for staying hands‐on and coding ...

manage business spending more seamlessly and effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features ...

Anthropic APIs. The role requires 3-5 years of experience, strong Python/TypeScript skills, and hands-on experience with LLMs, vector databases, and RAG pipelines. #J-18808-Ljbffr ...

transformation programme. You will design and build scalable data pipelines in GCP, develop cloud-native solutions, and support AI/LLM and RAG initiatives across a large-scale environment. You will work on event-driven architectures with Kafka, write robust Python and SQL, and help ensure data quality, governance ...

transformation programme. You will design and build scalable data pipelines in GCP, develop cloud-native solutions, and support AI/LLM and RAG initiatives across a large-scale environment. You will work on event-driven architectures with Kafka, write robust Python and SQL, and help ensure data quality, governance ...

engineering teams to secure AI platforms and solutions from design through deployment, creating reusable security patterns, challenging designs and tackling emerging risks across LLMs, RAG and autonomous/agentic systems. You’ll also explore how AI itself can be used to enhance and automate cyber security capabilities.The ideal candidate will ...

Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied ...

Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied ...

escalation point Experience with RBAC, data masking, Photon, cluster optimisation or cost management would be beneficial Exposure to Mosaic AI, Vector Search, model serving, RAG or Lakebase would be advantageous ...

Fargate or similar orchestration technologies * NoSQL and relational databases * Messaging and integration services * Cloud storage solutions - Practical experience applying AI technologies such as LLMs, RAG, AI agents and automation within software solutions. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon ...

technical BizOps role. Hands-on experience with LLM APIs, agentic frameworks, or workflow automation tools (e.g., Python, Zapier/Make, internal tooling, RAG pipelines). Strong SQL and scripting skills; comfortable moving between spreadsheets, code, and no-code tools as the situation demands. A track record of shipping things that ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG,Agentic AI(e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization Familiarity with LLMs or generative AI tooling in an engineering context — prompt engineering, RAG pipelines, or AI-assisted debugging workflows Prior coursework or project experience in OS internals, systems programming, or low-level debugging Familiarity with Apple platform internals ...

years of hands‐on software engineering. Comfortable working in C++, with Python alongside it. Practical experience using LLMs as an applied tool: prompting, guardrails, RAG, evaluation, and reasoning about model behaviour. You've built, or extended a model and integrated it meaningfully into a real product, close to the surface ...

including identity, secrets, access 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 ...

identity, secrets, access 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 ...

multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability ...

throughput and code qualityArchitect and own an AI product enablement strategy — working with Product and Design to embed AI capabilities (intelligent automation, predictive features, RAG pipelines, agentic workflows) into Solera's core offeringsBuild internal AI engineering platforms, reusable prompt libraries, and guardrails that ccelerate adoption safely and responsiblyStay ahead ...

multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability ...

Azure, including SaaS and PaaS offerings. Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services. Proven experience of technical ...

commercial environmentStrong full-stack skills in TypeScriptFrontend skills with Next.js or React to build an interface for engineersStrong AI knowledge — LLMs, embeddings, MCPs, RAG, evals, agentic platformsExperience of building infrastructure to support your systems in production using IaC, k8s or lambda functionsSelf-starter who takes ownership end-to-end — from ...