401 to 425 of 502 Prompt Engineering Jobs in the UK

adapt as things change fast. Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them … Even better... Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. You've been a founder, founding team member, or operator — you know how to balance craft, ownership ...

users. Responsibilities — Build and ship AI-powered product features across the full stack, from data layer to UI, including LLM-based workflows such as prompt engineering, RAG, and model evaluation. — Work closely with founders and customers to translate needs into working software. — Own the quality and reliability … what you ship, from prototype to production. — Move fast, make pragmatic technical decisions, and iterate based on real usage. Requirements — Strong engineering background preferred (but not required), in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. — Familiarity with AI/ML concepts and experience ...

experience building, configuring or supporting AI agents, copilots, chatbots or automation solutions Experience with Microsoft Copilot Studio, Microsoft 365 and Azure services Understanding of prompt engineering and conversational design principles Strong documentation, communication and stakeholder engagement skills Ability to gather requirements and work directly with non-technical business ...

stakeholders to ensure course content meets client requirements,industry standards, and regulatory expectations. Skills and Technical Proficiency Strong knowledge of GenAI concepts, applicationsand prompt engineering Proficient in GenAI concepts, machine learningtechniques, and Python programming, with strong familiarity with the NumPyecosystem. Industry Knowledge & Experience Desirable hands-on experience with ...

Excellent, detailed knowledge of Data including: AI & Machine Learning Expertise Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool using AI agents) Hands on experience applying machine learning ...

tools. Familiarity with Open Claw, Hermes or similar agent orchestration platforms. Proficiency with Microsoft Copilot, Power Automate, Power Platform or similar technologies. Knowledge of prompt engineering and AI workflow design. Exposure to software development, APIs or systems integration. Ability to train users and support technology adoption. Experience collaborating ...

Financial Services) as a strategic consultant who has delivered several project life cycles.* Technical Knowledge - Hands-on or applied experience with:* Generative AI (LLMs, prompt engineering, RAG, copilots, multimodal AI)* Agentic AI (autonomous agents, multi-agent workflows, tool integration)* Broad strategic knowledge* Scaling AI Experience - Experience designing ...

What Experience We Are Looking For Strong foundational programming skills with Python as your primary language. Hands-on experience with LLM integration and advanced prompt engineering. Solid understanding of RAG architectures, including vector databases, embeddings, and tokenisation. Proficiency in navigating and deploying solutions using AWS services. Experience with ...

Essential Skills & Experience Active SC Clearance. Strong experience using modern data science tools, techniques and methodologies. Proven knowledge of machine learning, Generative AI and prompt engineering. Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI evaluation approaches. Strong data analysis, visualisation and statistical modelling ...

architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry - designed inside the build, not bolted … engineers during Transform engagements Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work ...

Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. This isn’t a prompt engineering or LLM role - finding a solution to our problems requires a deep understanding of Machine Learning, software development, and the problems themselves. … will be working with large, complex, and unique datasets to solve a wide range of difficult statistical, mathematical, and physical engineering problems. To achieve this, you will work with cutting-edge technologies in a highly collaborative environment. Key to this role is the ability to envision and design ...

lead architect behind our agentic infrastructure, designing systems where multiple AI agents collaborate to solve high-stakes enterprise problems. You'll move beyond simple prompt engineering into the realm of semantic memory, recursive reasoning loops, and multi-tool integration, ensuring our "DataSirpi Agents" are both powerful and predictable. … relevance responses across massive datasets. Develop robust evaluation frameworks to measure LLM reliability, safety, and hallucination rates in production. Collaborate with Product and Data Engineering teams to bridge the gap between unstructured LLM outputs and structured business intelligence. The Profile You are a software engineer first ...

agentic workflows. Develop robust, end-to-end automated test suites in Python across evaluations, API checks, UI checks, and performance tests. Create automated prompt testing systems and regression suites to proactively detect unintended changes in model behaviour. Establish multi-dimensional evaluation criteria to measure and track GenAI quality across … Perform adversarial testing (red‐teaming) to identify and mitigate model hallucinations, biases, or security vulnerabilities. Develop internal tools and testing frameworks that enable software engineering teams to seamlessly validate their own GenAI implementations. Deploy real‐time monitoring and alerting systems to quickly detect and flag quality degradation ...

fast-moving revenue generating pre-seed startup already running frontier AI models in production. You'll work directly with the founders, own AI engineering end-to-end, and have a major impact across product quality, infrastructure efficiency and technical direction. We're looking for a high calibre AI Engineer … looking for: 5+ years' experience within Applied AI/ML/MLOpsStrong Python and production AI systems experienceExperience with LLMs, Generative AI, prompt engineering or agentic workflowsExposure to AI infrastructure, deployment, evals or optimisationStartup mindset with a hands-on, product-focused approachComputer vision/video/VFX/ ...

CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses … fast. We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. The Opportunity We're seeking a highly skilled ...

Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams to deliver intelligent product capabilities. Evaluate AI outputs, improve reliability and implement guardrails and monitoring. Tech stack C# .NET 8/… Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest in Applied AI and solving real-world product problems. ...

Technology team in London as a Lead Software Engineer, Applications Development at Vice President level — a senior role at the forefront of engineering innovation within a globally operating financial institution. In this position, you will lead the design, development, and delivery of complex application systems that directly shape … business processes, system workflows, and industry standards.* Develop and enforce standards for coding, testing, debugging, and implementation to maintain quality and consistency across the engineering team.* Build comprehensive knowledge of how business functions such as architecture and infrastructure interconnect, applying this understanding to deliver integrated technical solutions.* Translate business ...

passionate about turning complex problems into simple, elegant solutions, this role is for you. You’ll have a meaningful opportunity to shape our engineering culture from the ground up. What you’ll do Develop ML/AI functionality at the core of our platform, owning end-to-end design … implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore ...

Technology team in London as a Lead Software Engineer, Applications Development at Vice President level — a senior role at the forefront of engineering innovation within a globally operating financial institution. In this position, you will lead the design, development, and delivery of complex application systems that directly shape … business processes, system workflows, and industry standards. Develop and enforce standards for coding, testing, debugging, and implementation to maintain quality and consistency across the engineering team. Build comprehensive knowledge of how business functions such as architecture and infrastructure interconnect, applying this understanding to deliver integrated technical solutions. Translate business ...

work in highly demanding, fast-paced environment Self-motivated, able to work and excel autonomously on job responsibilities. Bachelor’s degree in Computer Science, Engineering, or related field/similar experience. Hands-on experience using AI coding assistants such as Claude (including Claude Code) and GitHub Copilot to generate … with sound judgement on where AI assistance is and is not appropriate. Working knowledge of agentic AI concepts — autonomous, multi-step AI agents and prompt engineering — applied to QA tasks such as test generation, log and failure analysis, and exploratory testing. Nice to Have Hands on experience designing ...

ensure the efficacy and reliability of solutions and to build trust with stakeholders Help to design technical architectures and solutions Collaborate heavily with engineering functions to deliver high quality, scalable output Stay up to date with the latest developments in AI and become an SME within the data science … foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities, and skills Strong ...

Leading Banking client are looking for a talented and motivated individual to join their expanding AI & Innovation team within Architecture & Engineering at a key stage in their AI journey. The team plays a central role in shaping and delivering AI strategy, governance, product discovery, adoption and enterprise AI solutions … language models (LLMs), agent-based patterns, workflow orchestration and enterprise AI integration. Practical experience applying techniques such as retrieval-augmented generation (RAG), knowledge grounding, prompt engineering and human-in-the-loop design patterns. Experience designing secure and controlled AI solutions, including guardrails, responsible AI, explainability and governance considerations. ...

Leading Banking client are looking for a talented and motivated individual to join their expanding AI & Innovation team within Architecture & Engineering at a key stage in their AI journey. The team plays a central role in shaping and delivering AI strategy, governance, product discovery, adoption and enterprise AI solutions … language models (LLMs), agent-based patterns, workflow orchestration and enterprise AI integration. Practical experience applying techniques such as retrieval-augmented generation (RAG), knowledge grounding, prompt engineering and human-in-the-loop design patterns. Experience designing secure and controlled AI solutions, including guardrails, responsible AI, explainability and governance considerations. ...

significant applications across both the Education and Healthcare sectors . They are now looking for a talented Senior Full Stack Developer to join their engineering team and contribute to the continued development of their platform, editor and supporting cloud services. Responsibilities: Build and deliver new functionality across the core … technologies and use cases are introduced Experience: Strong commercial experience with React and Node.js Practical exposure to AI technologies , such as LLMs, prompt engineering, AI APIs, integrations, RAG or orchestration frameworks Understanding of modern AI development concepts including agentic architectures or MCP would be advantageous Good working knowledge ...

agentic AI use cases, while reducing the risk of duplication, unmanaged experimentation and AI sprawl. As a leader, you’ll mentor and grow AI engineering capability within the Modern Workplace team, fostering responsible innovation, curiosity and continuous improvement. You’ll work with Modern Workplace architecture and engineering teams … Copilot Studio, Purview, sensitivity labelling, DLP, Entra ID and tenant boundary controls is essential, alongside programming literacy in PowerShell and Python and familiarity with prompt engineering and agent design. If you’re ready to build the foundations for safe, responsible AI adoption at Clarion—strengthening governance, enabling innovation ...