1 to 25 of 93 Prompt Engineering Jobs in England

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 ❯

Job Title: Prompt Engineer Contract: 6 Months Location: London (Hybrid) Overview We are seeking a Prompt Engineer to join our team on a six-month contract. This role is ideal for someone passionate about language models, prompt design, and practical GenAI applications. You'll play a key role in optimizing how large language models (LLMs) are used … across various workflows, helping drive innovation and performance through effective prompt engineering. Roles and Responsibilities Design, test, and refine prompts to optimize LLM performance across diverse tasks and domains. Build and maintain a library of prompt templates and reusable components. Collaborate with engineers, analysts, and business teams to embed prompt engineering into broader AI workflows. Analyse … model outputs and user feedback to iteratively improve prompt accuracy, consistency, and relevance. Monitor developments in the fields of prompt engineering, generative AI, and LLM capabilities to inform internal practices. Contribute to documentation, internal guidelines, and knowledge-sharing initiatives related to prompt engineering. Required Background Demonstrable experience with prompt writing and LLM fine-tuning. Skilled More ❯

grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems … using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team … collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications. As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Partnering with stakeholders to 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 ❯

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 ❯

collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop … cloud-native applications using AWS or Azure, containerisation, and CI/CD pipelines. Apply software engineering best practices in secure, regulated, or enterprise environments. Essential Skills & Experience Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG More ❯

collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop … cloud-native applications using AWS or Azure, containerisation, and CI/CD pipelines. Apply software engineering best practices in secure, regulated, or enterprise environments. Essential Skills & Experience Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG More ❯

collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop … cloud-native applications using AWS or Azure, containerisation, and CI/CD pipelines. Apply software engineering best practices in secure, regulated, or enterprise environments. Essential Skills & Experience Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG 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 ❯

AI-powered features integrating platforms such as Stripe, Shopify, Salesforce, and OpenAI. Build and integrate Customer Data Platforms (CDPs) and AI/ML capabilities (semantic search, RAG, vector embeddings, prompt engineering). Drive end-to-end project delivery - from scoping requirements to hands-on development in Python, Node.js, Go (with some PHP). Troubleshoot third-party integrations, resolve … skills in system design and SQL data modeling for high-traffic applications (10k+ daily users). Hands-on experience with LLM/AI features (semantic search, vector DBs, RAG, prompt engineering). Comfortable working in fast-paced, agile environments and collaborating with global teams. Excellent communication skills with the ability to explain technical trade-offs to non-technical More ❯

are seeking a Senior Data Scientist to provide oversight and hands-on expertise for the build of an AI Agent within an automated insurance workflow . The project involves prompt engineering of LLMs, API development and integration , and deploying solutions in line with a defined solution design. The successful contractor will also provide day-to-day oversight and … Data Scientist on the project. Role & Responsibilities The Senior Data Scientist will be responsible for: Designing, building, and deploying AI Agent solutions within an insurance workflow. Developing and refining prompt engineering approaches for large language models (LLMs). Building, testing, and integrating API calls to meet solution design specifications. Deploying containerised applications in Azure (or other cloud environments … evaluation reports and recommendations for next-phase development. Skills & Experience Essential: Strong expertise in Python for AI/ML development. Hands-on experience with Large Language Models (LLMs) and prompt engineering. Experience deploying solutions in Azure (or equivalent cloud platforms). Demonstrated ability to deliver AI/ML solutions from design through to deployment. Proven ability to provide technical More ❯

You'll Do Client Success : Support our financial services clients, ensuring they get maximum value from our AI platform AI Operations : Monitor and optimise our AI workers' performance, including prompt engineering and workflow refinement Business Intelligence : Analyse operational data to identify improvements and drive efficiency Product Development : Become a domain expert, translating client needs into product improvements Process … Building : Design and implement operational processes as we scale Cross-functional Projects : Work across engineering, product, and commercial teams on strategic initiatives What We're Looking For Recent graduate (0-2 years experience) with strong academic credentials Analytical mindset with excellent problem-solving abilities Natural communicator who can work with both technical teams and clients Genuine interest in AI … learn about AI systems) What Makes You Stand Out Internship or project experience in technology, consulting, or financial services Experience with data analysis or business intelligence tools Interest in prompt engineering or AI systems Entrepreneurial mindset or startup experience About You: You're intellectually curious, thrive in dynamic environments, and want to build a career at the forefront More ❯

You'll Do Client Success : Support our financial services clients, ensuring they get maximum value from our AI platform AI Operations : Monitor and optimise our AI workers' performance, including prompt engineering and workflow refinement Business Intelligence : Analyse operational data to identify improvements and drive efficiency Product Development : Become a domain expert, translating client needs into product improvements Process … Building : Design and implement operational processes as we scale Cross-functional Projects : Work across engineering, product, and commercial teams on strategic initiatives What We're Looking For Recent graduate (0-2 years experience) with strong academic credentials Analytical mindset with excellent problem-solving abilities Natural communicator who can work with both technical teams and clients Genuine interest in AI … learn about AI systems) What Makes You Stand Out Internship or project experience in technology, consulting, or financial services Experience with data analysis or business intelligence tools Interest in prompt engineering or AI systems Entrepreneurial mindset or startup experience About You: You're intellectually curious, thrive in dynamic environments, and want to build a career at the forefront More ❯

You'll Do Client Success : Support our financial services clients, ensuring they get maximum value from our AI platform AI Operations : Monitor and optimise our AI workers' performance, including prompt engineering and workflow refinement Business Intelligence : Analyse operational data to identify improvements and drive efficiency Product Development : Become a domain expert, translating client needs into product improvements Process … Building : Design and implement operational processes as we scale Cross-functional Projects : Work across engineering, product, and commercial teams on strategic initiatives What We're Looking For Recent graduate (0-2 years experience) with strong academic credentials Analytical mindset with excellent problem-solving abilities Natural communicator who can work with both technical teams and clients Genuine interest in AI … learn about AI systems) What Makes You Stand Out Internship or project experience in technology, consulting, or financial services Experience with data analysis or business intelligence tools Interest in prompt engineering or AI systems Entrepreneurial mindset or startup experience About You: You're intellectually curious, thrive in dynamic environments, and want to build a career at the forefront 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 ❯

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 ❯

lightweight Apex when configuration alone won't suffice. You will do this with support from our Salesforce developer. Familiarity with Agile/Scrum methodologies. Hands-on with Einstein GPT, Prompt Builder/Prompt Studio is desirable. Practical knowledge of prompt engineering, retrieval-augmented generation (RAG) and grounding GenAI on CRM data is desirable. Strong problem-solving More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media … wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise … in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with More ❯