226 to 250 of 292 Prompt Engineering Jobs in London

demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.* ****Implement and Enforce Best Practices:**** Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.# ****Required Qualifications***** 5+ years of experience … delivery role for high-quality, scalable production solutions in a professional environment* Strong background in Computer Science or a related engineering discipline* Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)* Extensive hands-on experience building and deploying solutions with AI/LLM technologies ...

will turn defined requirements into reliable agent solutions, create reusable technical capabilities and improve deployed agents through rapid iteration. This is a hands‐on engineering role focused on agent delivery rather than organisational change management or team leadership. Responsibilities Agent Development Design, build and deploy AI agents for teams … develop Hermes‐based workflows. Build and maintain Microsoft Copilot Studio agents. Integrate agents with Salesforce, SharePoint, Microsoft 365 and approved internal systems. Automation & Workflow Engineering Develop automations that remove manual effort from operational processes. Build secure integrations between internal platforms and approved AI services. Improve agent reliability, performance ...

will turn defined requirements into reliable agent solutions, create reusable technical capabilities and improve deployed agents through rapid iteration. This is a hands‐on engineering role focused on agent delivery rather than organisational change management or team leadership. This is an initial six-month fixed‐term contract opportunity, with … develop Hermes-based workflows. Build and maintain Microsoft Copilot Studio agents. Integrate agents with Salesforce, SharePoint, Microsoft 365 and approved internal systems. Automation & Workflow Engineering Develop automations that remove manual effort from operational processes. Build secure integrations between internal platforms and approved AI services. Improve agent reliability, performance ...

e.g., Plug n Play, local startup hubs), and industry conferences. Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams. Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application … directly within or as a technical advisor to venture-backed startups or scaleups. Preferred qualifications: Experience as a CTO, lead architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance ...

directly within or as a technical advisor to venture-backed startups or scaleups. Preferred qualifications: Experience as a CTO, lead architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance … e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain or LlamaIndex). Active participation in the startup and AI ecosystem, with a track record of public speaking, technical ...

growth of Innovecture’s digital future. IMPACTFUL PROJECTS & PRODUCTS Be part of an exciting and talented team while working on interesting software/engineering projects and products for leading global customers. LEARNING & DEVELOPMENT Innovecture is always looking for growth mindsets in talented people. We have continuous learning baked into … Case Repository and translate use cases into practice sessions : Convert validated workflows into hands-on, scenario-based exercises with realistic datasets, prompt sequences, and quantifiable outcomes. Consultative Stakeholder Engagement Drive AI adoption with business and end-users : Partner with internal stakeholders across functions to understand objectives, constraints, and success ...

slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers : they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real … hunting for one more builder to help us rewrite the rules of software quality. What You’ll Do You will own engineering execution end-to-end. You will take ideas from zero to production. You will help define the technical DNA of the company. Ship fast, learn faster ...

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 ...

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 ...

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/ ...

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 ...

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. ...

Software Engineer Department: Engineering Employment Type: Fixed Term - Full Time Location: London, UK Description We are looking for a Developer to join our small, dynamic team developing cutting-edge football data acquisition and analysis systems. We are leveraging frontier LLM systems to generate high-value structured data in real …/LLM integration : Experience with design and delivery of analytics pipelines which include LLM elements for conversion of unstructured to structured data: familiarity with prompt engineering in this domain with OpenAIand/or other frontier model APIs Version Control & CI/CD : Proficiency with Git and modern deployment ...

drafting, exception handling, or process design and a clear-eyed view of where they add value and where they introduce risk. Practical fluency in prompt engineering, AI workflow design, and agentic tooling — enough to configure and iterate on AI deployments without writing code, and enough to evaluate outputs ...