1 to 25 of 75 Permanent Prompt Engineering Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. • Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. … classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user-facing features powered by AI. • Document system architectures and decision rationale early and clearly, enabling … wide Slack channels, Show and Tell presentations and technical deep-dives. What experience you'll need to be successful • A master's degree or above in Computer Science, Electrical Engineering or a related field. • 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. More ❯

paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining 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 ❯

models and data platforms. Frontend Development: Develop responsive, high-performance user interfaces with React/Next.js. AI Integration: Connect to LLMs and ML services (e.g., OpenAI, AWS Bedrock), supporting prompt engineering, embeddings, and vector databases. Data Engineering: Handle structured and unstructured data, build ingestion pipelines, and design efficient schemas (Postgres/NoSQL). Architecture & Design: Influence technical … AI development. Experience: 5+ years in full-stack development Strong skills in Python , React/Next.js , and cloud (AWS) Experience with AI/ML APIs , vector search , and data engineering AWS and containerised deployments (Docker & ECS) Solid understanding of secure coding and data privacy A proactive, ownership-driven mindset and great communication *The role is on a remote basis 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 ❯