51 to 75 of 131 Prompt Engineering Jobs in England

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

Hybrid If Hybrid, how many days are required in office?: 3 days The Role In this role, the candidate will join a cutting-edge engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers … secure, scalable, and high-performing AI solutions, including document intelligence workflows, generative AI applications, and retrieval-augmented systems. This includes working on model orchestration, prompt engineering, document extraction pipelines, and system integrations with enterprise platforms such as CRM, ERP, and workflow automation tools. The role requires close collaboration ...

easy to maintain Collaborate with designers and marketers to implement features Assist with domain, hosting, and DNS setup when required Utilize AI tools and prompt engineering to support development and productivity Must-Have Skills: ✅ PHP development ✅ MySQL database experience ✅ HTML and CSS proficiency ✅ JavaScript skills ✅ WordPress development experience … Experience with AI prompt engineering tools , such as ChatGPT, Claude, GitHub Copilot Nice-to-Have Skills & Experience: Laravel experience Experience building custom CMS and LMS platforms Experience and understanding of Figma software Git repositories and version control Hosting setup and DNS configuration Strong organisational, time management, and communication ...

easy to maintain Collaborate with designers and marketers to implement features Assist with domain, hosting, and DNS setup when required Utilize AI tools and prompt engineering to support development and productivity Must-Have Skills: ✅ PHP development ✅ MySQL database experience ✅ HTML and CSS proficiency ✅ JavaScript skills ✅ WordPress development experience … Experience with AI prompt engineering tools , such as ChatGPT, Claude, GitHub Copilot Nice-to-Have Skills & Experience: Laravel experience Experience building custom CMS and LMS platforms Experience and understanding of Figma software Git repositories and version control Hosting setup and DNS configuration Strong organisational, time management, and communication ...

reusable agent components with clear protocols and guardrails Establish orchestration patterns that scale reliably in production Ensure governance, safety, and compliance standards are met Prompt Engineering & Frameworks Design prompt chains and multi-step workflows for complex tasks Maintain centralised prompt and agent libraries with versioning … agentic systems in production Proven ability to operate autonomously and own complex systems end-to-end Technical Skills Strong understanding of LLM behaviour and prompt engineering Experience with agent architectures and multi-agent systems Comfort analysing logs, metrics, and system performance Familiarity with APIs, system integration, and workflow ...

Description: Required Experience and good understanding of Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging … Responsible AI principles Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions Strong articulation, stakeholder management and consulting skills Experience driving productivity and cost optimisations Skills: Python with AI/ML frameworks (PyTorch ...

opportunities, and build end-to-end automated systems using tools like n8n , AI models, and APIs. This role sits at the intersection of operations, engineering, and AI—ideal for someone who loves solving problems, designing efficient systems, and using technology to remove friction from workflows. You will collaborate across … Python) AI & LLM Automation Integrate AI models (OpenAI, Claude, etc.) into workflows Build intelligent agents for data extraction, routing, classification, and decision workflows Implement prompt engineering, function-calling logic, and vector database usage when needed Data & System Integration Work with data sources such as PostgreSQL, MySQL, MongoDB, Airtable ...

applications, and retrieval‐augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI—ensuring solutions are robust, compliant, and production‐ready. This role suits a hands‐on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non‐functional requirements ...

applications, and retrieval augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI-ensuring solutions are robust, compliant, and production ready. This role suits a hands on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non functional requirements ...

Lead/Senior Generative AI Engineer/AI Engineer/Artificial Intelligence/Generative AI/AWS/GCP/Engineering Mindset/London/Bristol/Manchester/Birmingham/Cardiff/Cambridge/Oxford/England Hiring via: 167 Solutions Location: UK (Hybrid 12 days per week … Generative AI Centre of Excellence (CoE) . This is not a strategy-only or advisory role. This is a 24/7 hands-on engineering role , building, testing, deploying, and iterating production-grade GenAI systems at enterprise scale. Everything is greenfield . No legacy constraints. No pre-selected vendors. ...

production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product … cloud platforms (AWS, GCP, or Azure) Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. Purpose As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies … enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration ...

tracking, latency monitoring Location: UK More than just code, you'll be: A builder : Design production LLM systems handling 10K+ daily requests, build meta-prompt engines for regulatory compliance, and architect RAG systems with <100ms query times A collaborator : Work alongside founders and engineers shipping ML infrastructure that directly … impacts thousands of financial advisors An innovator : Push boundaries with model fine-tuning, advanced prompt engineering, and MLOps infrastructure for mission-critical financial applications We're looking for: In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset. Strong Python development ...

insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates … across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies … enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration ...

insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm s long-term AI engineering capability. As demand accelerates … across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering ...

fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred … quality outputs. Skills & Experience Agentic AI experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/ ...

pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‐edge AI function, with … Engineer to join a growing AI team delivering production‐grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‐to‐end: from problem ...

real-world applications Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration Researching and implementing advanced prompt engineering and LLM interaction techniques Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer … traction with hundreds of enterprise users globally Recently closed a major funding round from top-tier investors Ambitious, execution-focused culture with very high engineering standards What we’re looking for: Must-haves: Deep Python expertise and experience shipping AI systems into production Hands-on experience with LLMs, prompt ...

support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops and ongoing consultancy-style support aligned to apprenticeship standards. Role … them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams ...

support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops, online training, hands-on labs, and ongoing consultancy-style support … them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams ...