1 to 25 of 61 Permanent Prompt Engineering Jobs in London

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step … Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn ...

content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape. Collaboration: Work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering. … Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies … enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration ...

entire software stack. We are hiring founding engineers with different strengths; you are not expected to be senior across all three domains. AI Engineering •⁠ ⁠Prompt engineering and LLM orchestration •⁠ ⁠Building evaluation frameworks and feedback loops •⁠ ⁠Deploying and operating AI systems reliably in production Data Engineering •⁠ ⁠Ingesting … Security, authentication flows, and production reliability You should demonstrate applied excellence in at least one of these areas, with demonstrated interest across multiple. Core Engineering Philosophy We care deeply about leverage as an engineering principle. We want you to help us build the system that builds the system ...

build automation workflows using low-code platforms including n8n and Microsoft Power Platform Develop and deploy AI-powered applications leveraging large language models, including prompt engineering, evaluation, and production reliability Maintain and continuously improve existing automations as the firm grows Stay current with developments in AI tooling … responsible AI use across the firm Skills and Experience Technical Hands-on experience working with large language models and building AI-powered applications, including prompt engineering and evaluation Experience with low-code workflow automation platforms, ideally n8n and/or Microsoft Power Platform/Power Automate Proficiency building ...

impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production‐ready AI and Generative … producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability‐building activities across the organisation. Partner with Security, Legal, and Data teams to define ...

Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‐on team lead who builds and ships customer‐facing, production‐grade AI, solving complex problems, shaping long‐term strategy …/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance ...

Tool‐using and reasoning agents Human‐in‐the‐loop workflows Orchestration and memory patterns Lead solution design using Generative AI and LLM ecosystems , including: Prompt engineering and prompt pipelines RAG (Retrieval‐Augmented Generation) architectures Model fine‐tuning and evaluation strategies Provide technical oversight and mentoring to engineering … patterns RAG pipelines, vector databases, and embeddings Experience across major AI ecosystems (e.g., cloud AI platforms, open‐source LLM tooling) Solid understanding of data engineering, APIs, and enterprise integration patterns Consulting & Leadership Skills Strong client‐facing presence , capable of leading executive‐level discussions Ability to translate complex AI concepts ...

consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across … observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone , FAISS , Azure Cognitive Search ) and prompt strategies; optimize for latency/cost/accuracy. Architect agentic AI components (multi-agent workflows, gateways, registries, protocol interoperability) for complex enterprise use‐cases; establish ...

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior/Lead Reporting to: Head of AI/Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‐enabled application … platform modernisation (“ACP‐isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation , supporting acquisitions, carve‐outs, and post‐merger integration through scalable, production‐grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across ...

Engineer, you will design, build, and deploy production‐grade LLM‐powered systems . This role sits at the intersection of software engineering , AI implementation , and agentic orchestration . You will work on: Multi‐agent architectures Intelligent tool and API integrations RAG pipelines and vector‐based retrieval Evaluation frameworks … loops to improve system behaviour over time Craft effective prompts and optimise latency, cost, and output quality across multiple model providers Collaborate closely with engineering, product, and data teams to build enterprise‐ready AI solutions Required Skills & Experience Hands‐on experience building applications using LLM APIs Deep understanding ...

design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business … libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). ...

scalable AI applications that integrate into modern cloud and enterprise platforms. The Role You will develop end-to-end AI solutions , combining modern software engineering with advanced machine learning and generative AI capabilities. Key Responsibilities Build and deploy full-stack AI applications including APIs, services, and user-facing interfaces. … cloud environments . Collaborate with data scientists, engineers and business stakeholders to deliver impactful AI products. Contribute to technical best practices, innovation, and AI engineering standards . Key Skills & Experience Strong Python development experience with AI/ML/NLP libraries (Hugging Face, spaCy, NLTK). Experience building applications ...