1 to 25 of 110 Prompt Engineering Jobs in the UK

showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate … prompts to optimise performance across relevance, accuracy, consistency and other areas (Prompt Engineering). Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable … track record leveraging Generative AI to build/enhance products with real user adoption. Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/ More ❯

team during an exciting period of innovation for the organisation. You will be responsible for: Designing and developing AI solutions around LLMs and GenAI Prompt engineering and optimisation Software development and engineering Continuous learning and exploration into AI technologies Key skills and experience required: C# .Net - You … must have commercial experience of this between 1-2 years minimum Python - Commercial experience beneficial but self learning/personal projects also acceptable Prompt engineering for LLMs Experience of applying LLMs and Gen AI frameworks to real world problems Beneficial: CI/CD Typescript We have a salary More ❯

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

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, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be … frameworks like LangChain, LangGraph, LlamaIndex, etc. AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and test … prompt strategies to improve accuracy and responsiveness. Cross-Functional Collaboration: Partner with engineering, product, and QA teams to deliver agent-led automation solutions. Prototyping & R&D: Drive rapid prototyping of LLM-based solutions, develop PoCs, and validate ideas. Responsible AI: Promote safe, ethical, and transparent AI practices. AI More ❯

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 … 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 More ❯

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. … 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 More ❯

We are seeking an AI Engineer to drive AI innovation across our organisation. This role will be instrumental in exploring and implementing AI solutions (prompt engineering, predictive modelling, etc.) and AI agent builders to enhance editorial workflows, commercial operations, and product development. Working closely with cross-functional teams … and audience needs. Responsibilities AI Solutions Development: Design, prototype, and deploy AI-driven tools that enhance newsroom efficiency, commercial operations, and digital product innovation. Prompt Engineering: Test and implement generative AI applications to support operational efficiency, audience engagement, content summaries and more. AI Agent Builders: Develop and test … Trends: Stay ahead of AI advancements, experimenting with new technologies to drive innovation in digital news publishing. Key Skills Experience in AI/ML engineering, AI architecture, or data science roles, with a focus on real-world AI applications. Understanding of generative AI, LLMs, NLP, and machine learning frameworks More ❯

frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

computing, 5G communications, automotive, aerospace industrial and health. Job Title: Sr Principal Software Engineer Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Software Engineering Group Director Job Overview: We are seeking a Sr Principal Software Engineer (Team Lead) to join our team responsible for developing and maintaining AI … future of Cadence's innovative solutions. Job Responsibilities: Lead and mentor a team of software engineers working on infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Collaborate with product managers and cross-functional teams to deliver software systems and libraries to deliver AI … technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming More ❯

develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and … estimated time and expected quality outcome. Document your work including solution and coding comments and release notes. Education: Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered. Experience: 5+ years of extensive experience in software development with a strong understanding of front … etc. is desirable. Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI. Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs. AI Integration in Business Processes: Experience in integrating AI More ❯

consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. Job Title: Software Engineer II Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Engineering Group Director Job Overview: We are seeking a Junior Software Engineer to join our team responsible for developing and maintaining AI infrastructure across Cadence … helping to shape the future of Cadence's innovative solutions. Job Responsibilities: Contribute to the development of AI infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Assist in developing software systems and libraries to deliver AI-driven functionality across the whole Cadence organization. … technologies in AI and machine learning. Document technical processes and developments for knowledge sharing across teams. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming More ❯

include developing proof of concepts (POCs) and working with the team to implement AI solutions at scale globally. Key skills include proficiency in NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Responsibilities: Proof of Concepts (POCs): Develop and present POCs to demonstrate the feasibility … understand how they would fit into Endpoint's requirements and present them to senior management for review. Education: Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered. Experience: 2+ years of extensive experience in software development with a strong understanding of front … etc. is desirable. Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI. Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs. Collaboration and Interdisciplinary Skills: Ability to work effectively with More ❯

automation opportunities Work with our account management team to identify and prioritise opportunities to add the most value to our customers Design and implement prompt engineering solutions using our system, including: Data extraction from complex property leases and documents Workflow automation for a variety of intensive processes, like … from them. You're explicitly up for long hours, tight deadlines, and moments of heroism A good understanding of genAI fundamentals Semi-pro at prompt engineering with a deep passion for it-you've got the bug If you can also tick off any of the below bonus … points (don't worry if it's some or none though!) Some software engineering experience-vibe level, not necessarily writing production code Start-up or scale-up experience-you know what it means to wear multiple hats Real estate, law, or other relevant industry expertise International experience or language More ❯

AI solutions-including LLMs and AI agents -into our products and operations at a leading SaaS company. You'll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management. This is a highly collaborative and fast-moving … specialists. Optimize model pipelines for latency, scalability, and cost-efficiency , and support real-time and batch inference needs. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents … applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering, applied AI, or related fields. Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering , or a related technical discipline. Strong More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯

is a significant advantage. Your hands-on experience with advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms More ❯