9 of 9 AI Agents Jobs in the South West

tune models, and iterate on prompt engineering and feature selection. • Automate data pipelines end-to-end, from data ingestion and preparation to model training, evaluation, and deployment, including integrating agents into cloud-native environments and ensuring they scale and operate reliably. • Engage confidently with both technical and non-technical stakeholders, adapting your communication style to explain complex AI … metrics for agent performance, using a mix of human and AI-based evaluation methods to ensure robust, scalable measurement. • Set up monitoring and validation frameworks to ensure agents perform as expected in production and quickly identify and address issues. • Work closely with engineering, DevOps, risk, security, and business teams to deliver agent-based solutions that meet governance … community within the organisation. • Embed ethical considerations into agent development, using frameworks and toolkits to ensure fairness, transparency, and compliance. • Advise on and improve security processes, ensuring that agents and data pipelines are robust against threats. • Keep up with the latest developments in data science, AI agents, generative AI, and automation, and experiment More ❯

location and experience dependent + 10% company bonus scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, were launching an Innovation Labs functionan agile environment to rapidly design, build … Prototypes: Leverage AI tools to engineer digital prototypes and MVPs that translate Serve Legals datasets into usable, scalable products. Develop APIs, dashboards, and interactive client tools and agents for compliance and consumer insight. Run Innovation Labs Engineering: Partner with the Data Scientist to test, refine, and productionise algorithms and models. Apply lean/agile principles to develop … least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs More ❯

assess, design and implement Oracle controls for a wide range of clients across multiple industries. This includes applying knowledge of Oracle Cloud emerging technology such as AI Agents and leveraging Oracle Risk Management & Compliance GRC modules to drive improvements throughout the control lifecycle from assessing risks to implementing, monitoring and assessing controls. As a Manager focussing on … application technologies e.g. S/4 Hana, MS Dynamics, Blackline, Workday Knowledge of common infrastructure technologies e.g. AWS, Google Cloud, Azure, SQL Database, Oracle database Experience of assessing AI risks and how AI can be responsibly used to improve control environments. Holding or eligible for UK Security Clearance. Connect to your business - Technology and Transformation Distinctive More ❯

AI Lead Location: London, UK Hybrid: 3 days a week from office JD: AI Lead to drive the development and deployment of next-generation agentic AI solutions using Azure OpenAI GPT-5, LangGraph frameworks, and intelligent document processing. Lead technical workstreams in building production-ready AI systems for financial automation with hands … on development approach. Required Qualifications 10+ years of experience in AI/ML engineering with 4+ years in agentic AI and LLM systems Strong proficiency in LangGraph, LangMem, and agentic workflow development Hands-on experience with Azure OpenAI GPT-5, text-embedding-3-large, and Azure AI services Expert-level Python programming and experience … development Experience with LlamaIndex (LlamaParse, LlamaExtract) and document intelligence platforms Solid understanding of AI evaluation frameworks (LangGraph evals, Agent evals, DeepEval) Key Responsibilities Design and develop agentic AI applications using LangGraph and LangMem frameworks Build intelligent document processing pipelines using LlamaParse and Azure Document Intelligence Implement advanced RAG systems with text-embedding-3-large and Azure More ❯

OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs Exposure to RAG architectures and vector stores (such as FAISS, Pinecone...) Prompt Engineer (AI & Data) – Could suit a Graduate/Junior or Experienced professional Location: Remote (M4/M5/M50 area preferred but flexible) Salary: £30-60k (depending on experience) Benefits … days holiday (+BHs), Pension, Perkbox, Health Insurance, Employee Assistance Program, Investors in People (Gold) Are you an aspiring or experienced AI Prompt Engineer ready to develop and optimise natural language interfaces, prompt strategies and data pipelines for Healthcare Technology Join an innovative business with a reputation and commitment for improving the quality of people’s lives . They … structured data integration and real-world healthcare workflows Create prompt libraries Build pipelines to structure documents, notes, data and multimedia into formats consumable by LLMs/AI agents Support the delivery of features like in-context help, ai-powered insights, conversation-based documentation, and lookup assistants Build & run prompt evaluation frameworks and create feedback loops More ❯

assess, design and implement Oracle controls for a wide range of clients across multiple industries. This includes applying knowledge of Oracle Cloud emerging technology such as AI Agents and leveraging Oracle Risk Management & Compliance GRC modules to drive improvements throughout the control lifecycle from assessing risks to implementing, monitoring and assessing controls. As a Senior Consultant focussing More ❯

Role: Principal AI Architect Location: London, UK Hybrid: 3 days a week from office Job Description : Principal AI Architect to lead the design and implementation of enterprise-scale AI solutions for financial services automation. Drive architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management … operations. Required Qualifications 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem) Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services Strong background in Python, distributed systems, and enterprise architecture … enterprise workloads (1M+ documents, sub-second response times) Key Responsibilities Design end-to-end AI solutions for private equity fund operations and financial automation Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems Design and implement advanced RAG More ❯

Salesforce CPQ will be advantageous. We also support Experience Cloud, Marketing Cloud and Data Cloud functionality. You will also have experience and an interest in supporting and developing Agentic AI capabilities with Einstein or AgentForce What you'll get in return The organisation really values its people and has created an inclusive culture where everyone feels they belong. More ❯

Head of Responsible Data Innovation and AI - GDS - G6 £87,521 - £94,262 (London) and £79,769 - £86,510 (National) includes additional allowance Published on Full-time (Permanent) £87,521 - £94,262 (London) and £79,769 - £86,510 (National) includes additional allowance Published on 24 September 2025 Deadline 7 October 2025 Location Bristol, London, Manchester About the job … the vision for a modern digital government. Our priorities are to drive a modern digital government, by: 1. joining up public sector services 2. harnessing the power of AI for the public good 3. strengthening and extending our digital and data public infrastructure 4. elevating leadership and investing in talent 5. funding for outcomes and procuring for growth … technologies Experience developing policy guidance and standards, translating strategic objectives into actionable frameworks Demonstrated in-depth understanding of a wide range of data science techniques such as LLMs, agentic AI, and other emerging technologies More ❯