26 to 45 of 45 Prompt Engineering Jobs in the South East

Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. Contract Senior AI Engineer/… Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. You'll work ...

integrations across internal systems, APIs, and cloud environments. * Develop proof-of-concepts and rapidly iterate solutions, balancing innovation with business priorities and timelines. * Implement prompt engineering, model evaluation, testing, and monitoring frameworks to ensure reliable and high-quality outputs. * Work with structured and unstructured datasets to support ...

/Artifacts or related ecosystems. Familiarity with APIs, scripting or languages such as Python to prototype or integrate AI solutions. Awareness of agent orchestration, prompt engineering, RAG and AI evaluation techniques. Experience delivering AI capability-building or upskilling programmes , particularly in the public sector. This … traditional software engineering role - it sits at the intersection of strategy, transformation and hands-on AI build . It would particularly suit someone who enjoys working with stakeholders, shaping direction, and still getting close enough to the technology to make things actually work in practice. ...

Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem-solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills - able to explain technical concepts to non-technical stakeholders. … Desirable: Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive ...

such as AI generated reporting, commercial intelligence, and internal knowledge agents Integrate AI solutions into existing platforms and systems Contribute to Azure based data engineering, including pipelines and data modelling Work across multiple projects, shaping delivery and prioritising impact Collaborate closely with business stakeholders to scope and deliver solutions … Your Skills and Experience Strong commercial experience building production AI applications in a cloud environment Hands on expertise with LLMs, prompt engineering, and agent based workflows Data engineering capability, including ETL processes, orchestration, and working with large datasets Ability to design and deploy scalable, reliable systems Experience ...

library of reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills • Experience in a deployment or implementation-focused technical role • Familiarity with RPA tools • Product management or solutions engineering background • Claude Code, Claude Cowork, or Claude Skills Experience • 3–5 years in a role blending business problem-solving with hands-on technical building — solutions engineering, technical consulting ...

technologies create measurable business value. You will join a collaborative environment where AI is a strategic growth area, working alongside experienced technology, data and engineering professionals to help clients realise the benefits of Generative AI and advanced analytics. The Role You will be responsible for developing and growing relationships … Generative AI, helping organisations understand where AI can deliver measurable operational and commercial value. Oversee the successful delivery of production AI solutions, guiding architecture, engineering and delivery teams while maintaining accountability for outcomes. Shape AI strategies and solution approaches across the modern AI stack, including Large Language Models (LLMs ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...

build tools, Git version control, Jira/Confluence, SQL databases, and Data Warehouses. AI Acumen: A solid understanding of the broader AI ecosystem, including prompt engineering and LLMs. Industry Knowledge: Experience in Financial Services or Insurance is highly desirable, but we welcome strong technologists from all sectors ...

Data | Engineering & Delivery Location: UK (Hybrid) Salary: Up to £115,000 + Bonus + Benefits Overview An exciting opportunity has arisen for an experienced Associate Director to join a growing AI and Data team within a well-established consulting environment. This role combines business development, client engagement, strategic advisory … with executive and senior leadership stakeholders. AI & Technology Knowledge Strong understanding of modern AI technologies and concepts, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases AI Solution Architecture MLOps Principles AI Governance and Risk Considerations Candidates are not expected ...

shaping and delivering enterprise-scale AI solutions, helping clients move from strategy and proof of concept through to deployment. Working alongside business leaders, engineering teams and technical stakeholders, you will define AI architectures, establish best practices and ensure successful implementation of modern AI platforms and services. This … Experience Proven experience designing and delivering enterprise AI, Machine Learning or Advanced Analytics solutions Strong understanding of modern AI technologies including Generative AI, LLMs, Prompt Engineering, RAG and Vector Databases Experience architecting production-grade AI platforms and applications Strong knowledge of at least one major cloud platform (Azure ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

translating AI capabilities into measurable business outcomes, cost efficiencies and revenue opportunities. Direct the delivery of complex AI programmes, providing oversight of solution architecture, engineering approaches and implementation strategies. Ensure secure, responsible and compliant deployment of AI technologies, including governance, risk management and ethical AI considerations. Build, mentor … maintaining strong commercial performance and delivery quality. Required Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. ...

translating AI capabilities into measurable business outcomes, cost efficiencies and revenue opportunities. Direct the delivery of complex AI programmes, providing oversight of solution architecture, engineering approaches and implementation strategies. Ensure secure, responsible and compliant deployment of AI technologies, including governance, risk management and ethical AI considerations. Build, mentor … maintaining strong commercial performance and delivery quality. Required Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. ...

teams to align architecture with business objectives. Provide technical leadership and governance across AI work streams and delivery teams Drive best practice in AI engineering, model management, and data science operations Evaluate and select appropriate AI frameworks, tools, and cloud services to meet enterprise requirements Support the integration … systems Skills and Experience Proven experience delivering AI solutions at enterprise scale in production environments Strong background in Generative AI — including LLMs, prompt engineering, and model fine-tuning Hands-on experience with Hugging Face (model hub, Transformers, Inference API) Experience with AWS AI services (SageMaker, Bedrock, Rekognition, Comprehend ...

design and delivery of AI solutions across a range of projects. You will act as the go to person for AI from an engineering perspective and support teams in how they build with this technology. You will work with engineers and external partners to deliver scalable solutions. You will … roadmap. What they are looking for They are looking for someone who has operated at Principal or Lead level in an AI focused engineering environment. You will need strong experience designing and delivering AI or machine learning solutions. Hands on experience with LLMs and prompt engineering ...

projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Artificial Intelligence Fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering AI Productivity Tools Workflow Automation Business Process Automation AI Agents and Autonomous Workflows No-Code and Low-Code Automation Platforms API Integrations … realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios Analysing existing business processes ...

with Large Language Models and modern AI architectures, including designing and deploying LLM-based solutions such as copilots, chatbots, and knowledge assistants Understanding of prompt engineering, grounding, and retrieval-augmented generation (RAG) Ability to apply governance, security, and ethical considerations in AI deployments Strong background across the Microsoft ...

phase of the company's growth. Skills & Experience Experience within insurance or financial services (this doesn't need to be purely technical)Hands-on prompt engineering experienceExperience working in a GCP environment (or strong exposure)Someone who already has an AI-first mindsetComfortable working with different teams ...

teams Evaluate emerging AI capabilities and integrate relevant innovations Qualifications AI Expertise (Essential): Proven experience working with applied AI systems Strong understanding of LLMs, prompt engineering, and agent-based workflows Experience with AI automation and orchestration across tools/models Awareness of AI governance, risk, and security considerations ...