26 to 50 of 93 Prompt Engineering Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience in cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions … machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models - Strong communication skills in English and Spanish with the ability to explain technical concepts to both technical and non-technical audiences More ❯

founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We More ❯

founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We More ❯

founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We More ❯

Join us in curating a codebase to be proud of, driving for quality, maintainability and testability The candidate You have completed a degree or bootcamp in Computer Science, Software Engineering or Artificial Intelligence You are AI-native, proficient at prompt engineering and comfortable using agentic coding tools to boost your productivity and problem solving You can quickly More ❯

to contribute to impactful service delivery innovations. Key Responsibilities: Design and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high … experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers More ❯

to contribute to impactful service delivery innovations. Key Responsibilities: Design and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high … experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers More ❯

that enhance marketing performance. You will design and deploy AI solutions, including autonomous and agent-based systems capable of executing marketing workflows and optimising spend. Working closely with Marketing, Engineering, Product and ML Science, you will embed AI into decision-making, automation and cost optimisation workflows to drive revenue growth, reduce costs and increase customer engagement. What You'll … Metasearch workflows Design, develop and deploy AI solutions to improve bidding, capital allocation, audience targeting, creative optimisation and campaign segmentation through structured test-and-learn approaches Develop and implement prompt engineering, tool integrations and orchestration strategies for autonomous AI workflows Rapidly prototype proof-of-concepts to assess value before scaling solutions into production Execute A/B and … monitoring, observability and guardrails for AI systems to ensure performance, reliability, compliance and safety Identify and address algorithm risks or inefficiencies before they impact marketing performance Collaborate with Marketing, Engineering, Science and Product teams to align AI innovations with business goals and scale them across brands, products and marketing processes Partner with product and engineering teams to design More ❯

detail, translating rigorous mathematical concepts to non-experts Work in a fast-paced, collaborative, dynamic environment Mentor and develop team members Basic Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience 8+ years of consulting experience with Data and AI/ML solutions and 8+ years defining long-term product/solution roadmaps with … Experience with AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3, EC2); AWS Certification (Solutions Architect Associate, ML Engineer Associate) preferred Knowledge of AI/ML, generative AI; hands-on prompt engineering and deploying hosting Large Foundational Models Experience with automation/scripting (e.g., Terraform, Python) and security/compliance standards (e.g., HIPAA, GDPR) Amazon is an equal opportunities More ❯

solutions to solve complex business challenges. IR 35 Status - Inside Key Responsibilities Design, build, and deploy Python-based AI applications. Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. Develop LLM-assisted frameworks and contribute to scalable AI architectures. Write clean, maintainable, and well-documented code. Implement testing pipelines and evaluation frameworks. … with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best More ❯