20 of 20 Contract Retrieval-Augmented Generation Jobs in England

Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate: up to £800 inside IR35 via umbrella The Opportunity We're looking for an experienced … business teams to deliver innovative AI solutions. Essential Skills & Experience Commercial experience building Generative AI solutions. Strong hands-on experience with RAG (Retrieval-Augmented Generation). Experience developing AI Agents or Agentic AI applications. Strong Python development skills. Strong SQL skills. Experience integrating applications ...

enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU'LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within GCP Engineering data platforms …/Python/SQL/Kafka/AI/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/ ...

international Bank. This is an excellent opportunity for an AI Engineer with strong hands-on experience across Generative AI, Large Language Models (LLMs), RAG, GitHub Copilot and Agentic AI. You will be building real-world AI applications, intelligent assistants, copilots and automation solutions while helping engineering teams adopt the latest … Generative AI and LLM-powered applications Develop AI assistants, copilots and intelligent automation solutions Build Retrieval-Augmented Generation (RAG) applications Work with vector databases and enterprise knowledge sources Integrate LLM and AI services through APIs and cloud architectures Develop and optimise prompts for enterprise ...

help build the data foundations that power enterprise search, knowledge discovery, AI applications and Retrieval-Augmented Generation (RAG). What you'll be doing Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources Develop data solutions using BigQuery, Google ...

moving environment where technologies and best practices are continually evolving. Desirable Experience with Azure OpenAI. Experience building AI agents or agentic workflows. Knowledge of RAG, embeddings and vector databases/search. Experience with Azure AI Search. Familiarity with prompt engineering and evaluation of LLM applications. Experience with Azure DevOps ...

Desirable Experience with other AI platforms (Bedrock) IaC (Terraform/Bicep) for building AI platforms Experience building AI agents or agentic workflows. Knowledge of RAG, embeddings and vector databases/search. Experience with Azure AI Search. Familiarity with prompt engineering and evaluation of LLM applications. Experience with Azure DevOps ...

Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation and FinOps delivery experience ...

from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly ...

Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. ...

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 ...

engineers and act as the technical escalation point within the delivery team Nice-to-have experience includes: • Mosaic AI, Vector Search, model serving or RAG pipelines • Lakeflow ingestion connectors • Row-level security, column masking and sensitive data handling through Unity Catalog • Databricks performance optimisation, including Photon, cluster sizing, partitioning ...

/agile development methodologies * Proficient in using AI in your day-to-day tasks, and incorporating AI into your software solutions (LLMs, agentic flows, RAG, tool use, MCP etc.) * The ability to mentor a dev team in the effective application of AI throughout the SDLC Nice to have: * AWS certification ...

experience driving cloud/AI transformation within Insurance, Financial Services, or similarly highly regulated industries. Technical Acumen: A strong architectural understanding of GenAI concepts (RAG, AI Agents, Agentic Workflows) and DevSecOps automation. Delivery Mastery: Expertise in benefits management, project planning, and crisis mitigation for large-scale enterprise deployments. To Apply ...

agentic AI solutions. Strong understanding of Azure AI architecture, security, governance and best practice. Experience connecting internal/proprietary business data to LLMs, including RAG, grounding, model customisation and/or fine-tuning. The ability to operate as both a hands-on technical SME and trusted advisor. Previous experience training ...

product management experience, translating customer needs into actionable roadmaps Experience leading or coordinating technical teams Comfortable discussing modern AI/software technologies including LLMs, RAG and data pipelines Strong commercial, scope, budget and delivery management skills Comfortable operating autonomously in a fast-moving environment Excellent communication skills across technical, scientific ...

PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling … warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for the clients AI product layer. Data Contracts : Partner with Business Analysts to formally define ...

Integrate agents and applications with existing client platforms using Microsoft Graph, REST APIs and Azure services Design solutions involving knowledge retrieval, RAG, document processing and autonomous workflows Advise clients on AI security, governance, identity and deployment considerations Contribute to technical documentation, development standards and solution architecture Work across … Platform , particularly Power Automate and Power Apps Microsoft 365 Copilot and the wider M365 ecosystem Microsoft Foundry/Azure AI services Azure AI Search, RAG and generative AI solutions Conversational AI, agentic AI and autonomous workflows Microsoft Graph and REST API integrations Dataverse, SharePoint and Teams Entra ID, app registrations ...

prompts fewshot patterns and safety guardrails Experience with Azure services AI Search OpenAIOSS model deployments Functions Storage Key Vault Event GridService Bus Knowledge of RAG design chunking strategies embeddings hybrid search rerankers Proficient in CICD IaC observability and cost optimization for LLM workloads Job Description Role Overview We are seeking … instructions and few shot examples for LLM powered copilots Apply grounding using enterprise data Dataverse SharePoint APIs Work with hybridvector retrieval and RAG patterns where required Graph API Implement secure integration with Microsoft Graph API to access and manipulate M365 users groups Mail calendar Files drives Teams channels ...