1 to 25 of 39 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 ❯

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 … 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 … 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 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 ❯

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 ❯

projects by driving design of Alexa features. The key responsibilities are to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists, and program managers to ensure we're providing … into a couple of critical projects across Alexa experiences. You will collaborate with fellow Language Engineers, Data Scientists, Program Managers, and stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate More ❯

projects by driving design of Alexa features. The key responsibilities are to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists, and program managers to ensure we're providing … into a couple of critical projects across Alexa experiences. You will collaborate with fellow Language Engineers, Data Scientists, Program Managers, and stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate 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 ❯

Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the … scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - 1+ years experience in building conversational AI and/or natural More ❯

and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using … and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity … Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & Culture At Zellis we create AI-enabled HR, workforce management and payroll products More ❯

and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using … and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity … Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products More ❯

tests Promote coding conventions and standards for code re-usability and cleanliness Conduct code reviews for improved code quality and optimisation Leverage AI and prompt engineering techniques to optimise test coverage and identify potential areas of improvement Stay up to date with industry trends and best practices in … software testing, automation, and AI We are excited if you have 5+ years of Software Engineering or QA experience Bachelor's degree in computer science or related Proven experience as an SDET or similar role in software development and testing Strong programming skills in languages such as Java, Python More ❯

will need to have deep hands-on experience in Python within a financial services setting and a strong grounding in Generative AI , LLMs , and prompt engineering . Responsibilities: Design and develop a generative AI chatbot tailored to core finance analytical functions (e.g. liquidity stress testing, balance sheet, positions … pandas code generation/execution. Develop a robust testing framework to assess the accuracy, performance, and reliability of AI agents. Create and fine-tune prompt generation strategies to enhance the chatbot’s financial domain relevance and response quality. Maintain and scale the underlying infrastructure supporting AI deployment using the More ❯

AI solutions, including experience with data processing libraries, API interaction, and structuring clean, maintainable code in a production environment. Familiarity with large language models, prompt engineering, and agent orchestration . The ability to analyse post-interaction data and optimise AI behaviour over time. A structured, problem-solving mindset More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data More ❯

minimum experience preferably) • Strong programming skills in Python • Expertise with SQL databases, cloud equivalent such as Amazon RDS(PostgreSQL, MySQL) • Experience utilizing LLMs and prompt engineering • Familiarity with GenAI services and frameworks such as AWS Bedrock, LangGraph • Familiarity with RAG Pipeline and Vector database • Design and develop RESTful … solving skills with the ability to quickly process complex information and present it clearly and simply. • Provide technical excellence (whilst adhering to Agile software engineering practices such as DRY, TDD, CI) and leadership/mentorship. • Wanting to unleash their inner self-starter and work in an environment that fosters More ❯

real, working products. What Youll Do: Own and drive the execution of complex, AI-powered product initiatives from idea to delivery. Collaborate closely with engineering, design, and business teams to define problems and build solutions. Translate evolving business needs into clear product requirements and workflows. Stay on top of … whats happening in GenAI, agentic systems, prompt engineering, and related toolsand bring those insights into your work. Get hands-on with detailswhether thats diving into a user flow, exploring an API, or testing prompts. Work in a fast-moving, experimental environment where iteration is constant and direction can … What Were Looking For: Strong program or product management experience (ideally 5+ years) in tech-driven environments. A technical backgroundwhether thats a CS degree, engineering experience, or just a deep love of how things work under the hood. Solid understanding of AI trends, LLM capabilities, vector databases, agent frameworks More ❯

experience building applications with advanced technology under the hood . This is an opportunity to be part of a team that's pioneering modern engineering practices, from assisted coding workflows to intelligent automation in app development. If you're an engineer who is always experimenting with the latest tools … and AI-enhanced problem-solving . The nice-to-haves Experience in full-stack development (Node.js, Next.js, or serverless architectures) . Familiarity with AI prompt engineering techniques . Experience with iOS/Android development (React Native, Swift, Kotlin) . Exposure to design systems and modular UI frameworks . … product development, enterprise apps, or high-growth startups . At ASquared, we're building the next generation of digital products by embracing AI-first engineering . You'll work in an environment where AI isn't just a buzzword-it's deeply integrated into how we code, ship, and More ❯

fast, iterate, and make an impact. Key Responsibilities: Own end-to-end product features across frontend and backend Collaborate with design, product, and legal engineering to deliver polished, AI-native workflows Help architect and evolve our codebase for performance, scale, and developer experience Contribute to shaping engineering practices … its best practices-and you love helping define them. Bonus: Experience working on internal legal tools, legal ops software, or compliance platforms. Curiosity around prompt engineering, user intent modeling, or AI reasoning is also a plus. More ❯