1 to 25 of 48 Prompt Engineering Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

a dent in the universe bigger than ourselves. About the role At Matillion, we're redefining what's possible in the world of data engineering by embedding cutting-edge AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two … language inputs. Advance AI Evaluation : Evolve our testing frameworks to better measure quality, reliability, and usability of generative outputs. Drive Real Impact : Collaborate with engineering teams to expand the reach of AI features and prepare for AI-to-AI interaction scenarios. Explore & Innovate : Stay ahead of research trends and … a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction More ❯

Document processes and methodologies to support knowledge sharing and transparency, reproducibility, and knowledge sharing across teams. What You Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with … TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning (PEFT), and Direct Preference Optimization (DPO). Strong problem-solving skills and the ability to work independently or More ❯

other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. • Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring … such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. • Familiarity with AI/ML algorithms and model deployment in cloud environments. • Experience with version control tools (e.g., Git), and … but significant experience in designing and deploying AI/ML solutions, please consider applying • Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile More ❯

AI adoption, battery technology and other real world problems. As an AI Engineer you will develop backend code and APIs, with a focus on prompt engineering and LLMs, collaborating with the Technical Architect to develop robust and highly performant solutions. You'll work alongside a talented team contributing … skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a More ❯

practitioners ourselves. We are on an exciting journey together, and not everything is solved yet. BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience 5+ years in Software Development and Cloud Computing building performant and scalable applications Experience … working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF). Excellent communication and public speaking skills, with experience delivering technical content to developers of More ❯