226 to 250 of 306 Prompt Engineering Jobs in London

fundamentals and toolchains and an understanding of how the modern web works. We also seek someone with strong organizational and planning skills. Leading an engineering team at Sanity is about working with the product manager and designer of the team, to own the strategy, roadmap, and execution. This … achieved by working with great people and creating an environment where your team can shine. As a senior engineering management leader, you’ll be responsible for growing a strong and engaged team to meet these challenges. Helping a team of talented engineers to organize and prioritize their work ...

agreement metrics (Cohen’s kappa, correlation, precision/recall) and systematically detect judge failure modes such as position bias, verbosity bias, self-preference, and prompt sensitivity. Curate Benchmark Datasets & Rubrics: Define sampling strategies, detailed annotation guidelines, and scoring rubrics. Measure inter-annotator agreement and manage label noise to ensure … Error & Trajectory Analysis: Conduct hands‐on failure analysis on agent runs, cluster root causes into actionable error categories, and clearly communicate findings to both engineering teams and stakeholders. Drive Harness Scaffolding Iteration: Translate evaluation results directly into architectural improvements across agent scaffolding, prompt design, tool execution loops, context ...

Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns. Knowledge & Memory Engineering: Leverage Zendesk's Context Graph (operational memory layer) and Knowledge Graph connectors to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive … organizational authority on Zendesk platform security, planetary scalability, custom data models, and Zendesk Copilot implementations. Product Liaison: Partner directly with Product Engineering, Product Marketing teams to serve as a feedback loop, directly shaping the future roadmap of the Zendesk AI architecture. Required Qualifications Core Experience & Business Acumen Solutions Architecture ...

Zendesk MCP (Model Context Protocol) Server**, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns.* **Knowledge & Memory Engineering:** Leverage Zendesk's **Context Graph** (operational memory layer) and **Knowledge Graph connectors** to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive … organizational authority on Zendesk platform security, planetary scalability, custom data models, and **Zendesk Copilot** implementations.* **Product Liaison:** Partner directly with Product Engineering, Product Marketing teams to serve as a feedback loop, directly shaping the future roadmap of the Zendesk AI architecture.## **Required Qualifications**### **Core Experience & Business Acumen*** **Solutions ...

complete breakdown of everything required of potential candidates, as well as how to apply Good luck. YOU ARE You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding … sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well-versed in Python, with experience ...

EMEA region, identifying high-impact opportunities to apply AI and emerging technology and driving adoption across regional teams* Apply AI tooling - generative AI, prompt engineering, agent workflows, SQL, and BI - to analyze data, accelerate work, and design more efficient regional workflows* Account for EMEA-specific regulatory, operational … Python, SQL, and VBA where appropriate to build integrations, automations, or data transformations beyond what low-code tools allow* Create and maintain reusable components - prompt libraries, automation templates, and documentation - that scale across the region and back to global teams* Document business requirements, functional specifications, and user stories with ...

Strong understanding and technical skills across AI technologies and solutions and their practical application within SMEs, including: Generative AI and large language models (LLMs) Prompt engineering AI-enabled automation and workflow optimisation Machine learning and predictive analytics Data analytics and AI-driven insights Natural language processing and conversational … solutions based on business need, technical feasibility, organisational readiness, potential value, risk and limitations. Degree or equivalent qualification in digital technology, computer science, data, engineering, business technology or a related field, or equivalent relevant professional experience. Essential Skills Strong practical AI and data literacy, with the ability to assess ...

spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts … identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain ...

Content Moderation, or ML Ops Have managed distributed or global annotation teams Have experience with vendor management and outsourcing operations Bonus points Familiarity with prompt engineering and AI safety policies SQL, Python, or data analysis experience Experience building internal annotation platforms or workflow automation Background in linguistics, cognitive ...

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 ...

build and deploy practical AI workflows using GenAI tools (e.g. Claude, Copilot, Gemini) and automation tools (e.g., Power Automate, n8n, Zapier). Advanced Prompt Engineering & Architecture: Deliver deep-dive technical instruction covering topics such as system prompts, prompt chaining and Retrieval-Augmented Generation (RAG). Content & Resource … including vector search spaces, context windows, chunking strategies, and RAG architectures. Business Analysis & ROI Tracking: Proven capability to convey process mapping, value stream re-engineering, and the financial calculation of automation ROI to non-technical business professionals. Scripting & Custom Integrations: Functional capability in Python scripting to guide advanced project ...

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 ...