20 of 20 Remote/Hybrid Prompt Engineering Jobs in the South East

fast-evolving market. With a strong focus on innovation, this organisation is embracing modern platforms, AI-driven development practices, and forward-thinking engineering principles to transform how they build and deliver solutions. This is an exciting opportunity to join a business that is not only keeping pace with technological … senior developer ready to take the next step in their career. You'll play a key role in shaping the development function, guiding engineering best practices, and leading the adoption of emerging technologies. This is not a purely managerial position - you'll remain close to the code while influencing ...

hands-on technical leadership role, ideal for a senior developer looking to advance their career. You will be the epicentre of shaping the engineering function, championing best practices and driving the adoption of innovative technologies at an organisational scale. This is a very technically-rounded position rather than … managerial one, where the key focus will be leading the evolution of AI-enabled software development. It includes leveraging prompt engineering, AI-assisted development tools and emerging AI coding approaches to unlock new potential for innovation. Key Responsibilities Lead and mentor a team of developers while remaining actively ...

will lead the evolution of an AI enabled Software Development Lifecycle, defining the technical vision, building the core platform capabilities and establishing the engineering practices that make AI a trusted part of everyday software delivery. Working across Engineering, Platform, Security, Data and Product teams, you'll design … self-service platforms that allow teams to rapidly integrate AI into coding, testing, deployment, monitoring and operations. You'll establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance, ensuring AI capabilities are scalable, secure and production ready. Beyond the technology ...

financial services business that has built its technology function with a modern, cloud-first approach. With very little legacy technology and continued investment in engineering excellence, the organisation is now placing AI at the centre of its technology strategy. As an AI Engineer, you'll play a key role … designing and delivering innovative AI solutions that support business growth and improve engineering capability across the organisation. Working closely with engineering teams, product stakeholders and senior leadership, you'll help turn cutting-edge AI technologies into real-world business outcomes. The company has invested heavily in creating ...

closed deal C-suite stakeholders, pitching commercial AI solutions and translating technical capability into business and cost impact Multidisciplinary delivery teams, directing architecture and engineering approach on complex, production-grade AI pipelines The full Applied AI stack - large language models, prompt engineering, RAG, vector databases and MLOps … sales and managing large accounts within Technology, Media or Telecommunications sectors Strong commercial understanding of generative AI and the modern AI stack, including LLMs, prompt engineering, RAG, vector databases and MLOps Experience leading delivery of production AI solutions, with accountability for outcomes and direction of architecture and engineering ...

Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across … lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. Key Responsibilities Partner with ...

DevOps Lead - AI-Enabled Software Engineering Location: Reading (Hybrid) Permanent We are seeking an experienced and hands-on DevOps Lead to join a leading digital infrastructure organisation undergoing significant technology transformation. This is a unique opportunity to lead a high-performing software engineering team while driving the adoption … assisted development practices across the software delivery lifecycle. As DevOps Lead, you will be responsible for setting the technical direction, owning the engineering roadmap, and ensuring the successful delivery and ongoing support of bespoke cloud-based applications. You will combine strong leadership capabilities with hands-on software development experience ...

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 ...

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 ...

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 ...

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 ...

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 ...