276 to 300 of 398 Prompt Engineering Jobs in England

have deep roots in Quality which means we don’t just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Here’s why you’ll love being … data or transformation projects. Project experience with Microsoft AI technologies, including Microsoft Copilot Studio and/or Microsoft Foundry. Understanding of AI agent design, prompt engineering and evaluation techniques. What’s in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here ...

London office Tuesday to Thursday Nice to have: Experience in fintech, financial services or other regulated environments Familiarity with RAG pipelines, embeddings, prompt engineering or agentic frameworks Cloud platform experience (AWS/GCP/Azure), CI/CD, infrastructure-as-code Open-source contributions or a portfolio ...

means to balance craft, ownership, and speed Familiarity with tools that power today\'s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams 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 (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into ...

organisation that's making a significant investment in AI, building intelligent products that are transforming the way people work. As part of a growing engineering team, you'll play a key role in designing and delivering production AI applications with real-world impact. This is a hands-on opportunity … date with the latest developments across the AI ecosystem. What We're Looking For Commercial experience building AI applications with LLMs. Strong Python engineering skills and experience shipping production code. Experience with RAG, prompt engineering, model evaluation or fine-tuning. Knowledge of modern front-end technologies ...

client is a global professional services and technology consultancy. 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 programs formulate real-world problems into scalable … 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 ...

client is a global professional services and technology consultancy. 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 programs formulate real-world problems into scalable … 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 ...

building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable … replace manual effort and improve outbound precision. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how Perk builds and scales its commercial engine. What ...

come to the right place. About the Role Production leadership required. Builder mindset non-negotiable. Salesforce is hiring a RVP Forward Deployed Engineering, Salesforce/Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands … leadership role for someone who can drive engineering excellence while operating at the executive level. This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders ...

range infrastructure using containers and KubernetesDeliver AI features from initial design through to production, including evaluations, guardrails and monitoringImprove agent performance through prompt engineering, tool orchestration, evaluation and token and cost optimisationIntegrate security tools and enable agents to operate safely within defined scopesWork closely with security researchers … technical design sessions while supporting the development of other engineersContribute to reliable, scalable production systems across a polyglot technology environmentJob Requirements: Significant software engineering experience, with a proven ability to build and scale production systemsStrong Python development skills and willingness to work with or learn GoHands-on experience building ...

range infrastructure using containers and Kubernetes Deliver AI features from initial design through to production, including evaluations, guardrails and monitoring Improve agent performance through prompt engineering, tool orchestration, evaluation and token and cost optimisation Integrate security tools and enable agents to operate safely within defined scopes Work closely … design sessions while supporting the development of other engineers Contribute to reliable, scalable production systems across a polyglot technology environment Job Requirements: Significant software engineering experience, with a proven ability to build and scale production systems Strong Python development skills and willingness to work with or learn Go Hands ...

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 ...

delivering complex technical training in Data Science, Python, and GenAI, virtually and in person. Strong knowledge of machine learning concepts, the NumPy ecosystem, and prompt engineering is a must. You'll also need the ability to design engaging courseware and act as a subject matter expert, contributing … practices. Key Skills Proven experience delivering complex technical training in Data Science, Python, and GenAI. Strong knowledge of machine learning techniques, GenAI concepts, and prompt engineering. Proficiency in Python programming with strong familiarity with the NumPy ecosystem. Ability to design and develop engaging, outcome-focused courseware for diverse audiences. ...

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 ...

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 ...