8 of 8 Permanent Prompt Engineering Jobs in Central 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 ...

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 ...

SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you’ll work across … shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions ...

autonomy of a startup founder, backed by the resources, scale, and rich data of a heritage media institution. What You’ll Be Doing Core Engineering & Prototyping Ship at Velocity: Build AI-powered solutions rapidly using AI-native development approaches, leveraging tools like Claude Code and agentic engineering techniques … elegant architecture, ensuring rapid prototypes evolve into scalable production systems. Strategic Impact Multiply Capabilities: Create APIs, integration patterns, and developer experiences that allow other engineering teams to leverage your AI capabilities seamlessly. Establish Guardrails: Design and implement lightweight, pragmatic technical standards for responsible and ethical AI deployment without sacrificing ...

directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience … experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions . A strong interest in computer vision ...

scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive … complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating ...

scalable, modular, multi-tenant platform → RAG pipelines, document indexing, LLM orchestration at scale → Data integrations: SharePoint, Fireflies, Zapier, Xero and Zoho → Team growth and engineering practice maturity → AI strategy conversations directly with senior partners and clients. Tech stack: Next.js · Node.js/Express · Azure · MS SQL · MongoDB · LlamaIndex · BullMQ · Redis … foundation matters here At least 2 years working with AI or ML systems in production and 3–5 years of substantive software/platform engineering Deep JavaScript/Node.js skills Azure Fluency JSON data structures, REST API design, and complex semi-structured data Practical LLM application — RAG architectures, prompt ...

Apprentice, you will spend 20% of your time in off-the-job training, learning how to implement organizational digital transformation, data security, and AI prompt engineering, which you will then apply directly to our fire safety operations. Responsibilities: AI-Driven communication management: Inbox architecture: Use AI to filter … early adopter of AI tools (like Gemini, ChatGPT, Claude, or automation platforms) and eager to explore how they can be applied to a specialist engineering business Exceptional literacy: Strong written English is vital. You must be able to adapt your writing style to match the MD’s voice ...