1 to 25 of 49 Prompt Engineering Jobs in the UK excluding London

record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business -Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business -Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business -Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business -Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support AI R&D efforts by applying advanced data warehousing, data science … and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and data models across different products and platforms. Hands-on Involvement … Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques to support the construction of state-of-the-art AI models. Stay up-to-date with new technologies and best practices in data engineering, advancements in generative More ❯

We are not accepting agency submissions for this role. Job Purpose At tiQtoQ , we're passionate about redefining engineering and AI automation. As part of our continuous evolution, we're looking for an AI Engineer to join our team. You will develop robust, scalable, and intelligent agentic systems that integrate seamlessly into software development lifecycles (SDLC). You'll … lead the charge in developing LLM-powered agents, assistants, custom tooling for developers, and AI automation frameworks. This is a hands-on role that combines software engineering, A experimentation, and AI product innovation. You'll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI … systems. Key Responsibilities LLM Agent Development : Design and build intelligent, multi-step LLM agents using frameworks like LangChain, LangGraph, LlamaIndex or similar to support engineering workflows. AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools that streamline workflows and enhance user productivity. Have a deep understanding of how these systems function under the hood and contribute to More ❯

our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we … too!). It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data … can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services More ❯

our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we … too!). It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data … can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services More ❯

To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and … a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data … engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI team to collect, create, curate, and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms. Hands-on Involvement: Engage in data engineering tasks More ❯

and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced solutions Own critical platform components from conception through production deployment Who … You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and … Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at scale Experience in security, intelligence, or OSINT platforms preferred Track record of More ❯

and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced solutions Own critical platform components from conception through production deployment Who … You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and … Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at scale Experience in security, intelligence, or OSINT platforms preferred Track record of More ❯

how AI is used across the business. Responsibilities Lead the development of GenAI solutions including LLMs, embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical business problems Write high-quality, maintainable code in TypeScript and Python Drive excellence in … Coach and mentor junior engineers and contribute to the overall strategy of the AI platform What You Will Need Hands-on experience with Generative AI technologies such as LLMs, prompt engineering, and vector-based search Strong foundation in traditional ML techniques such as regression, classification, and clustering Proficiency in both TypeScript and Python for building robust applications and … architecture, including API-first design and service-oriented patterns Background in AI safety, model evaluation, or secure model deployment This role is for someone who can combine strong software engineering skills with deep AI knowledge to build products that drive impact. If that sounds like you, we would love to hear from you. More ❯

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering … you thrive on building systems that push the boundaries of what's possible with LLMs and you want to be part of a team that's redefining the way engineering is done, we'd love to hear from you! About the Team The PE AI & Engineering Excellence team is Arm's engine for AI-driven productivity. Our mission … is to enhance engineering efficiency through automation, intelligence, and innovation. We work across a broad range of problems in Arm across hardware and software, and we drive engineering excellence and efficiency through the deployment of AI into existing workflows. Responsibilities: Build AI applications that integrate LLM capabilities into engineering workflows, from interactive agents to intelligent automation tools. More ❯

and PyDub to enable audio analysis and processing Develop tools for BPM detection, genre classification, energy and mood mapping Create systems for automated content compliance and rights management Platform Engineering Build scalable AI platforms that interface with our music management systems Develop APIs and edge AI capabilities for real-time audio delivery in retail environments Establish performance metrics to … solutions Work closely with music curators and product teams to align technology with creativity Present AI initiatives and outcomes to internal and external stakeholders Essential Degree in Computer Science, Engineering, or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/… ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems Experience identifying AI use cases and translating them into business value Preferred Experience with LibROSA, Essentia, or other audio analysis libraries Knowledge of computational musicology and MIR More ❯

engineers and product to build secure and compliant AI systems Contribute to architectural decisions, internal tooling, and team best practices Experience & Qualifications: 4+ years of backend or AI-focused engineering experience Hands-on experience working with LLMs and related frameworks (LangChain, LangGraph, etc.) Strong programming skills-Python preferred; experience with APIs and cloud infra is a plus Proven track … a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)-helpful but not required Interest in prompt engineering, user intent modeling, or AI agent design What We Offer: A high-trust, high-impact environment with ownership over mission-critical AI systems Challenging product problems at More ❯

the future of marketing by rapidly translating strategic requirements into intelligent, scalable solutions. Key Responsibilities Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Gather, analyse, and translate business and marketing requirements into detailed technical specifications. AI-Assisted Development: Leverage AI coding tools (GitHub Copilot, GPT-driven tools) to rapidly prototype and develop … architectures, solutions, and systems. Continuous Learning: Stay abreast of evolving AI technologies and frameworks to maintain our competitive advantage. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

building and iterating using AI-first coding environments (Cursor, VS Code Studio, Copilot, etc.). Solution Architecture: Design scalable, modular architectures for AI-driven marketing applications and microservices. Requirements Engineering: Translate business and marketing needs into detailed technical specifications. AI-Assisted Development: Rapidly prototype and develop applications using AI coding tools. Integration Framework: Implement and optimise Model Context Protocol … Documentation: Create comprehensive technical documentation for systems and solutions. Continuous Learning: Stay ahead of evolving AI technologies and frameworks. Required Skills & Experience 5+ years in solution architecture or software engineering, with strong proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, Go). Proven experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) and integrating large language … and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

principles Proficiency in Python and SQL Curiosity, self-motivation, and a proactive approach to problem-solving Strong communication and teamwork skills Desirable Extras Familiarity with large language models and prompt engineering Experience presenting technical findings to senior teams Why Apply? Use your academic skills in a practical, business-focused environment Enjoy autonomy and flexibility in your approach to More ❯

A hands-on, innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes More ❯

and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience … working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token limits, and system tuning Bonus: Experience in sports analytics, fantasy sports, or betting tech TO BE CONSIDERED... Please either apply by clicking online or emailing me directly at KEY SKILLS LangGraph, OpenAI, Python … Chatbots, RAG, Prompt Engineering, LLMs, API Integration, Sports Data More ❯

and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Lead Software Engineer (Agentic AI) Location: Cambridge, UK Reports to: Software Engineering Group Director Job Overview: We are seeking Software Engineers to join our growing team responsible for developing and maintaining Agentic AI applications in the digital verification domain. This role … Design and development of AI systems and AI features within Cadence’s suite of verification tools. Identify and evaluate opportunities to apply AI to solve very hard real-world engineering problems. Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. … in code reviews, testing, and debugging to ensure high-quality, reliable software Stay current with industry trends and emerging technologies in AI Job Qualifications: BSc in Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications More ❯

enhance AI capabilities and integrate with external systems. - Build and utilise APIs to develop robust integrations and extend platform capabilities for diverse client needs. - Leverage LLMs, agentic architectures and prompt engineering techniques to craft AI-driven solutions (training and support provided). Solution Design & Implementation - Design, implement and deliver scalable, efficient and reusable solutions tailored to client-specific … requirements. - Align technical solutions with business goals, industry regulations and platform constraints with support from core engineering teams. - Balance innovation with practical constraints, ensuring compliance, performance and security. - Diagnose and resolve technical challenges during design and implementation. - Work directly with clients to gather requirements, understand pain points and translate them into actionable solutions. - Communicate technical concepts effectively to both … skills, with experience in scripting and automation for client-driven solutions. - Experience in building LLM-powered applications, with a focus on API-level usage, tool/function calling and prompt engineering. - Experience in developing/utilising APIs (RESTful APIs, third-party platforms and internal APIs). - Experience working closely with engineering teams and within product development workflows (agile More ❯