1 to 25 of 81 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 ❯

pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations. Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership … these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands-On Demos & Prototypes - Co-create quick … knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre-Sales/Consulting: Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS. Hands-on experience with Salesforce Agentforce Strong understanding of external agent ecosystems and interoperability Proven track record in prompt engineering 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 ❯

related areas. Responsibilities and Impact Design solutions utilizing natural language processing (NLP) models, including chat assistants and retrieval-augmented generation systems. Develop Large Language Model (LLM) solutions that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies. Evaluate NLP models using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models while ensuring low latency … reliability, and scalability. Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions as needed. Actively research and identify … the latest relevant methods and technologies in the field. What We're Looking For Basic Required Qualifications A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least 5 year of professional experience in advanced analytics, data science, or machine learning. More ❯

best practices around authentication, authorization, and data privacy. Participate in design reviews , code reviews , and architecture discussions . Use AI orchestration tools like AI Foundry or Semantic Kernel. Apply prompt engineering and leverage tools like GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers … and foster a culture of continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML … algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A) . Experience with automated testing and validation of AI outputs. Strong problem-solving mindset and 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 ❯

stack product features across front-end, back-end, AI, devops and MLops. Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning. Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy. What You'll Do Front-end: Build interfaces … build systems that are faster, more thorough and more accurate than humans. Devops: Ensure that we maintain fast deployments and good CI/CD practices to maximise development velocity. Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs. Model Fine-Tuning: Adapt and fine-tune large language models and vision models for … specific use cases. Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges. Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions. Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers. Our Culture Deliver Value Fast - Speed + More ❯

for a 6 Month contract based Remotely. The Role & Responsibilities: We are seeking a Project Manager to lead and contribute to the delivery of AI-driven solutions , particularly around prompt engineering , document analytics, and automation. The role combines hands-on technical expertise with project management responsibilities , ensuring successful delivery of reusable AI components that enhance production processes used … testing, and optimising prompts for AI language models (e.g., GPT, BERT). Familiarity with NLP techniques for classification, entity recognition, categorisation, and text generation. Develop and maintain reusable AI prompt components to automate and optimise business processes. Design and implement prompt engineering solutions to improve AI model interactions and output quality. Analyse large datasets and document repositories … for automated categorisation and metadata enrichment. Work with data engineering teams to ensure robust data pipelines underpin AI solutions. Iterate and refine text generation models to expand functionalities such as plausibility statements. Support testing, validation, and deployment of AI/ML solutions in production environments. Key Accountabilities, Skills & Experience: Proven track record managing AI/data projects in financial 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 ❯

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 ❯

most. Connect to your opportunity We are seeking to hire experienced Lead GenAI System Architect(s) in the AI Institute, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering. You will be working with clients and other third parties, as well as Deloitte teams from across the Firm. You will have the opportunity to … shape, define, and deliver transformative AI and Generative AI strategies aligned with business goals. Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale. Oversee the development and operationalisation of state-of-the-art AI models, including large language models (LLMs), diffusion models, and other … experience in some of the following: Education & Experience PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline preferred. Outstanding candidates with strong quantitative, computer science, or engineering backgrounds in a related field will also be considered. Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience managing technical teams and stakeholder relationships. 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 ❯

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 ❯

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 ❯

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 ❯