26 to 50 of 69 Prompt Engineering Jobs in London

LinearB is an engineering productivity platform that empowers engineering teams with actionable insights and workflow automation. Our solutions help improve developer productivity and experience, enable predictable project delivery, and drive profitable engineering. Join us to be part of an innovative company driving efficiency and excellence in software development. … market excellence, ensuring cross-functional alignment, and building the systems that enable consistent, high-quality execution. Your buyer is a VP or Director of Engineering navigating AI adoption, delivery reliability, and developer experience at scale. You need to understand their world, speak their language, and build the GTM infrastructure ...

join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity … systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model ...

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 ...

workflows that remove friction and boost efficiency across the business (e.g. document processing, bank statement parsing, news summarisation) Develop LLM-based applications using RAG, prompt engineering, and fine-tuning where it drives measurable gains Manage AI infrastructure and tool integrations (API gateways, MCPs, external services) with appropriate governance … with occasional ownership of monitoring and iteration Maintain code quality through testing, version control and CI/CD practices Requirements 3+ years in software engineering or AI application development, with shipped production projects Proficiency in Python and SQL Experience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc. ...

frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development of AI solutions from concept through deployment and ongoing improvement. Create and maintain comprehensive technical documentation. Communicate … complex AI concepts clearly to stakeholders at all levels. What you'll bring: Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks ...

with LLM APIs and deep understanding of capabilities, limitations, and failure modes. Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering. Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions. Strong Python ...

deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate engineering delivery Lead advanced AI knowledge-sharing sessions within internal … upskilling initiatives Evaluate emerging AI frameworks, protocols, and tooling Support pragmatic AI adoption across multidisciplinary engineering teams AI Engineer Requirements Essential: Strong software engineering foundations with a production mindset Proven hands-on experience with Large Language Models (LLMs), including API integrations, prompt engineering, agent workflows ...

variety of generative models Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing Handson in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases Develop and deliver upskilling sessions ...

agents or copilots Hands-on experience with Microsoft Copilot, Copilot Studio, and/or Azure OpenAI Strong understanding of large language models (LLMs), prompt engineering, and document processing Experience working with unstructured data and implementing document analysis solutions Knowledge of data mapping, data lineage, and workflow/process ...

tooling, or extending platform logic. Collaborate closely with cross-functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. … landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master’s degree or Phd in Computer Science or Data Science 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep ...

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 ...

Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations Hands-on experience with RAG architectures, vector databases, and prompt engineering Experience developing multi-step workflows or agentic systems (frameworks or custom builds) Strong programming skills (Python or similar), with experience building production … guardrails What’s On Offer Highly competitive salary and bonus The chance to work on genuinely cutting-edge AI problems A collaborative, high-performance engineering culture Strong financial backing and ambitious growth plans Clear progression opportunities as the company scales Personal learning budget to accelerate your development Freedom ...

Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling, and orchestration frameworks Ability to work autonomously in a scale-up environment A product-focused mindset — you enjoy owning features ...

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 ...

Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance. • Pair with internal devs … alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than ...

onsite) Rates: Up to £900 p/d DOE (Inside IR35) I'm looking for an experienced ML Engineer to join a central AI engineering function responsible for building and scaling enterprise-grade agentic AI capabilities across a global organisation. This team owns the core AI enablement platform used … internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. The environment is highly engineering-focused, combining platform thinking with hands-on AI delivery. The role will involve designing and building MCP servers, AI tools, orchestration Skills, and secure API integrations that expose enterprise ...

across FS, Public Sector & Pharma Leading dev teams as you progress What they need: Experience with Copilot Studio (non-negotiable for this role) Strong prompt engineering (optimisation, guardrails, evaluation) Background delivering AI/automation solutions in a client setting Solid engineering mindset – build, deploy, scale Bonus: Power … Azure AI (OpenAI, Functions, APIs), consulting exposure Why it’s worth a conversation: 100% delivery focus – no heavy sales/bid work Real AI engineering (not advisory) Clear progression (Analyst → Manager) 80+ hours annual learning + certifications Work with one of Microsoft’s top global partners This ...

exclusive search for an AI Engineer to join the AI team at a leading global hedge fund in London. This is a hands-on engineering role sitting at the intersection of cutting-edge AI and live investment processes, building production-ready systems that directly impact trading and research. … their application to financial markets. Day-to-day, this means building scalable pipelines from research through to production, implementing agentic AI solutions (fine-tuning, prompt engineering, MCP connectors, multi-agent frameworks), and developing evaluation and monitoring frameworks for models in live environments. You'll work closely with portfolio ...

build intelligent, scalable products used by thousands of customers. This is a high-impact role where you’ll work closely with product, data, and engineering teams to bring AI-driven features into production. What you’ll be doing: Designing and building scalable backend systems using Python Developing and integrating … OpenAI, LangChain, Hugging Face) Collaborating with data scientists to productionise models Improving system performance, reliability, and scalability Contributing to architectural decisions in a growing engineering team What they’re looking for: Strong experience with Python in a production environment Hands-on experience with LLMs or applied AI (prompt ...

coming in to manage. You're coming in to leave by doing. You'll set architecture strategy, make build-versus-buy calls, raise engineering quality, and help shape the team as it grows. The best candidates will be energised by that scope, not daunted by it. REQUIREMENTS: Strong Python … build robust systems that scale AI and agent-specific skills Experience designing and optimising multi-agent systems for reliability and production performance Understanding of prompt engineering techniques including few-shot learning, chain-of-thought and RAG Familiarity with LLM evaluation strategies and how to measure whether your system ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

Experience Hands-on experience with Microsoft Copilot/Copilot Studio Proven experience building AI agents using Azure AI/Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast ...

Experience Hands-on experience with Microsoft Copilot/Copilot Studio Proven experience building AI agents using Azure AI/Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast ...

systems Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques Works independently, resolving complex issues with little or no supervision or direction Has experience of managing a junior team to achieve ...