1 to 25 of 99 Prompt Engineering Jobs in the UK

GenAI Prompt Engineer Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. This will need 2-3 days working onsite in Central London. The Role & Responsibilities Design, test, and refine prompts to optimise the performance of LLMs across various tasks (e.g., summarisation, Q&A, content … generation, reasoning). Develop prompt libraries and reusable templates for internal and external use cases. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Analyse model outputs and user feedback to iteratively improve prompt effectiveness and reliability. Stay current with the latest research and advancements in prompt engineering … Bachelors or Masters degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. More ❯

GenAI Prompt Engineer Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. This will need 2-3 days working onsite in Central London. The Role & Responsibilities Design, test, and refine prompts to optimise the performance of LLMs across various tasks (e.g., summarisation, Q&A, content … generation, reasoning). Develop prompt libraries and reusable templates for internal and external use cases. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Analyse model outputs and user feedback to iteratively improve prompt effectiveness and reliability. Stay current with the latest research and advancements in prompt engineering … or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. More ❯

solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software SolutionsYou'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse DomainsYou'll tackle varied engagements, ranging in length … internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

experimental ideas such as synthetic personas. Drive Technical Strategy: Provide technical leadership and mentorship on the practical application of AI/LLM techniques, defining best practices for everything from prompt engineering to fine-tuning and RAG. Ensure Reliability: Implement and own LLM observability and evaluation systems to ensure our AI features are reliable, performant, and continuously improving. Collaborate … solved real business problems. An inquisitive and experimental mindset, with a passion for tackling ambiguous problems that may not have established solutions. Deep practical knowledge of the modern AI engineering stack (e.g., RAG, vector databases, prompt engineering, fine-tuning techniques, and evaluation frameworks). The ability to thoughtfully balance cutting-edge research with the practical constraints of … production reliability and scalability. Deep expertise in one or both of the following areas: Software Engineering & Systems Design: Expertise in Python and experience building scalable services (e.g., using FastAPI, Django). You have a strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering More ❯

in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection … Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence More ❯

in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection … Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence More ❯

days onsite)Certain Advantage are recruiting on behalf of our Trading client for an AI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies.They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to … be educated to an MSc. Degree level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design … with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability More ❯

impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data … business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4-5 years' experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning … . Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools More ❯

impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data … business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning … . Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools More ❯

impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data … business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning … . Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

delivery models. The Trainer will 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 aligned to apprenticeship standards. Role … an extended transformation journey, guiding 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 to build AI adoption roadmaps, configure More ❯

Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs Exposure to RAG architectures and vector stores (such as FAISS, Pinecone...) Prompt Engineer (AI & Data) – Could suit a Graduate/Junior or Experienced professional Location: Remote (M4/M5/M50 area preferred but flexible … k (depending on experience) Benefits: 29 days holiday (+BHs), Pension, Perkbox, Health Insurance, Employee Assistance Program, Investors in People (Gold) Are you an aspiring or experienced AI Prompt Engineer ready to develop and optimise natural language interfaces, prompt strategies and data pipelines for Healthcare Technology Join an innovative business with a reputation and commitment for improving the quality … s lives . They are on a mission to empower and revolutionise how care is delivered to others through the effective use of intelligent support tools by leveraging LLMs, Prompt Design and Data & Knowledge Engineering . I’m seeking an AI Prompt Engineer to the join the R&D team and design, test and refine prompts , clean More ❯

a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as … proof-of-concept to production deployment. - Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices. This role can be located in either Singapore, Indonesia … ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and More ❯

mindset. Translate Ideas into Action: Write AI-first user stories, prioritise experiments, and drive delivery of intelligent features with real impact. Measure What Matters: Establish KPIs for product performance, prompt effectiveness, and AI tool adoption. Iterate based on data and feedback. Collaborate Across Disciplines: Work with engineers, data scientists, designers, and business stakeholders to build scalable, ethical, and delightful … AI solutions. Requirements Proven experience as a Product Owner or Product Manager, preferably with AI or data-driven products Deep understanding of Gen AI, LLMs, and prompt engineering fundamentals Experience writing AI-specific user stories, managing AI experiments, and tracking prompt/system performance Strong collaboration with engineering and data teams understanding of APIs, cloud platforms More ❯

mindset. Translate Ideas into Action: Write AI-first user stories, prioritise experiments, and drive delivery of intelligent features with real impact. Measure What Matters: Establish KPIs for product performance, prompt effectiveness, and AI tool adoption. Iterate based on data and feedback. Collaborate Across Disciplines: Work with engineers, data scientists, designers, and business stakeholders to build scalable, ethical, and delightful … AI solutions. Requirements Proven experience as a Product Owner or Product Manager, preferably with AI or data-driven products Deep understanding of Gen AI, LLMs, and prompt engineering fundamentals Experience writing AI-specific user stories, managing AI experiments, and tracking prompt/system performance Strong collaboration with engineering and data teams – understanding of APIs, cloud platforms 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 ❯

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 ❯

datasets Expertise in implementing hybrid search and retrieval-augmented generation (RAG) techniques Solid understanding of Large Language Models, including how to apply multi-modal models and when to apply prompt engineering and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in … ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation and feedback capture Knowledge of data ecosystems and tools, spanning from data ingestion, data engineering, data quality, data orchestration, and data privacy considerations and governance Data-informed - highly analytical thinker and structured problem-solver Demonstrates initiative while collaborating effectively with others to drive solutions More ❯

hyperparameter tuning for complex datasets. Strong understanding of hybrid search and retrieval-augmented generation (RAG) techniques. Solid experience with Large Language Models (LLMs) , including multi-modal models and applying prompt engineering and fine-tuning . Experience deploying models via cloud platforms (AWS, GCP) and using Docker , Linux , and edge device optimisation . Additional Requirements Advanced degree in Computer … commercialising machine learning models. Deep knowledge of the ML lifecycle: data annotation, model training, serving, scoring, productionisation, and feedback loops. Understanding of modern data ecosystems and tools across ingestion, engineering, quality, orchestration, and governance. Strong analytical and structured problem-solving skills. Proactive, collaborative, and comfortable navigating ambiguity. Ability to influence and communicate effectively with stakeholders across technical and business More ❯

ll be: ? Designing intuitive, accessible, and natural conversations to be delivered by a chat bot service ? Writing, testing, and refining advanced prompts for LLMs ? Collaborating with product, data, and engineering teams ? Using tools like Figma, Voiceflow, and Miro ? Driving continuous improvement through user feedback and data You should bring: ? Experience with conversational AI, chatbots or voice assistants ? Prompt engineering skills (CoT, prompt chaining) ? A portfolio showing impact through design ? Confidence working in agile, cross-functional teams Nice to have: background in regulated environments or startups. ?? UK-based applicants only (remote role More ❯