1 to 25 of 52 Prompt Engineering Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

focused consultants. Stay ahead of the curve with the latest Microsoft AI advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale … distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). Whats on Offer Work for a 3* World Class Best Company. Flexible working with our Winning From Anywhere More ❯

focused consultants. Stay ahead of the curve with the latest Microsoft AI advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale … distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). Whats on Offer Work for a 3* World Class Best Company. Flexible working with our Winning From Anywhere More ❯

machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker for containerization. Knowledge of Databricks. Excellent communication skills, with the ability to More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering More ❯