51 to 75 of 280 Prompt Engineering Jobs in London

leadership.Develop scalable enablement assets — including demo environments, architectural workshop templates, and POV accelerators — that compress time-to-value for the field.Partner with Product and Engineering to translate field-driven architectural insights into roadmap input and product improvements.Contribute to the global Architect community, sharing reusable IP and best practices that … data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks.Understanding of agent interoperability ...

POCs) and custom demonstrations that de‐risk the technical buying decision. Configure Agentic AI Workflows: Build and showcase tailored, agentic AI‐driven workflows, utilising prompt engineering and Zendesk’s AI features to solve real‐world customer pain points. Deploy Reusable Tools: Utilise and adapt existing technical accelerators … gaps and help shape future platform enhancements. What You Bring (Required Qualifications): Experience: 4–6 years of hands‐on experience in technical presales, solution engineering, technical consulting, or an application developer role. Technical Fluency: Proficient with modern web technologies (e.g., JavaScript, Python, Node.js), HTML/CSS, REST APIs ...

Microsoft Copilot, ChatGPT and Claude alongside other approved AI tools by embedding them into real workflows. Training & Best Practice Deliver practical training on prompt engineering, AI limitations, and good usage patterns for both technical and non‐technical audiences. Create and maintain reusable materials such as prompt examples … enablement sessions for technical and non‐technical audiences. Hands‐on experience using modern AI tools beyond typical end‐user interaction, including: Practical understanding of prompt engineering techniques and common LLM failure modes Experience grounding AI outputs in data (e.g. through document retrieval, APIs, MCP or structured context rather ...

happens to be obsessed with AI's real-world potential Current with the entire AI ecosystem: LLMs, RAG systems, AI agents, vector databases, prompt engineering, and the latest API releases Someone who can go from "here's a new model" to "here's a production system" without hand … simple ChatGPT integrations to complex agentic workflows Able to evaluate trade-offs between different AI approaches (when to use RAG vs fine-tuning vs prompt engineering) Pragmatic about AI - you know when to use it and when not to Beyond the technical: Write clean, scalable code and care ...

custom demonstrations that de-risk the technical buying decision.* ## Configure Agentic AI Workflows: Build and showcase tailored, agentic AI-driven workflows, utilising prompt engineering and Zendesk’s AI features to solve real-world customer pain points.* ## Deploy Reusable Tools: Utilise and adapt existing technical accelerators … check every single box below, we encourage you to apply!"* ## Experience: 4–6 years of hands-on experience in technical presales, solution engineering, technical consulting, or an application developer role.* ## Technical Fluency: Proficient with modern web technologies (e.g., JavaScript, Python, Node.js), HTML/CSS, REST APIs ...

contact center architecture, AI readiness and help them technically validate Amazon Connect. - Design agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action and Agent-to-Agent integration.- Represent the voice of the customer; bring customer feedback … feel supported in the workplace and at home, there's nothing we can't achieve. Basic qualifications- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients ...

knowledge graphs with AI solutions to deliver grounded, trustworthy insights for analytics and generative AI use cases. Prototype and productionise AI-powered features, including prompt engineering, evaluation, and continuous improvement. Advise customers on semantic architecture, governance, and best practices, contributing reusable standards and frameworks. About the Candidate: Degree … lakes/warehouses, governance frameworks, and master/metadata management. Hands‐on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex). Strong stakeholder skills, able to quickly understand complex business domains and communicate technical concepts ...

Reporting to a Manager of Technical Support, you will be a technical expert who is the primary contact between different support teams and core engineering teams. You will handle work requests (which can be internally or externally generated) that have been routed for diagnosis and implementation while updating internal … external customers. You will handle work requests directly, or solicit assistance from the core engineering teams within the R&D team for issues/defect reporting. You will also identify application defects, then test and document them for the core engineering teams to fix as part ...

GenAI, Data Science and Python training to government and enterprise clients, both virtually and face to face Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem Design and develop courseware using instructional design principles and adult learning theory, tailored to client … Proven experience delivering technical training or facilitation to both technical and non-technical audiences, virtually and in person Strong knowledge of GenAI concepts and prompt engineering Solid grounding in machine learning techniques and Python, including the NumPy ecosystem Experience designing learner-centred courseware Eligible for, and willing ...

understands user questions, generates accurate SQL, and delivers trustworthy insights from complex datasets. You will build and refine retrieval-augmented generation (RAG) pipelines, develop prompt engineering strategies, and create evaluation frameworks that measure answer quality at scale. You will also work on anomaly detection models, predictive analytics features …/NLP systems in production. Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow . Hands-on experience with large language models, prompt engineering, and RAG pipelines . Familiarity with vector databases (Pinecone, Weaviate, Qdrant, or similar). Solid understanding of SQL and relational database concepts. ...

business stakeholders to mold and implement strategy. The role applies broad technical knowledge with depth in generative AI, agentic systems, enterprise platforms and engineering governance to ensure that AI platforms at WTW are optimally configured to achieve company vision and imperatives. It has end-to-end ownership of implementation … repeatable release processes. AI Capability Enablement: Support controlled distribution of skills, plug-ins, connectors and other extensibility outlets for enterprise AI Platforms with consistent engineering approaches: Build automated procedures to harvest, standardize, and deploy skills to AI Platforms such as Claude and Copilot. Develop continuous delivery pipelines, including security ...

Development Engineer** who enjoys building AI systems that operate reliably in the real world. This role sits at the intersection of AI engineering, software development, and infrastructure, focusing on designing and implementing production-grade systems powered by large language models (LLMs).You will work hands-on across the full … delivery lifecycle - moving quickly from concept to prototype to production. Working closely with product, engineering, and data teams, you will help deliver intelligent applications built on modern AI infrastructure.We value practical builders over academic theory. Success in this role is defined by your ability to design, implement, deploy ...

Document & Workflow Automation: Hands‐on experience with conditional drafting logic, template architecture, and low‐code workflow tools. Applied Generative AI Literacy: Practical knowledge of prompt engineering, prompt libraries, and structured AI model evaluation (accuracy, recall, and error classification). Data Fluency: Ability to build adoption and quality ...

lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native servicesExpert-level coding capability … high-quality production code while guiding technical directionDeep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniquesProven ability to take complex AI solutions from prototype to production, making practical engineering ...

alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts … Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy. You love coding with Python. You can develop and articulate an AI solution vision to technical ...

varying learner and employer requirements. AI Adoption & Workplace Application: Support employers to adopt and embed AI technologies within their organisations. Deliver practical training covering: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related technologies Promote responsible AI usage, including governance, ethics and data … Proactive, adaptable and solution-focused approach. Desirable Experience delivering AI or digital apprenticeship standards. Experience with Copilot Studio and Power Platform technologies. Knowledge of prompt engineering and AI adoption strategies. Understanding of automation tools and workflow design. Awareness of apprenticeship funding and compliance requirements. Teaching or training qualification ...

SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D. Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy. Full-Stack Impact: While focused on AI, you’ll work across … shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability to articulate complex technical decisions ...

13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry … Description: Role Summary The AI Agent Developer will design, develop, and configure AI-driven workflows within ServiceNow using Now Assist, AI Agent Studio, prompt engineering, and workflow automation capabilities. The role will focus on delivering productivity improvements through intelligent automation while ensuring governance and regulatory compliance. Experience Minimum ...

focused on enabling engineers, teams and the wider business to maximise the value of AI-assisted and agentic software development. You will work alongside Engineering Managers, Senior Engineers, Product teams and business stakeholders to identify opportunities for AI-driven automation and productivity improvements across the entire software development lifecycle. … will help define the future engineering operating model at Skin Analytics, introducing new tools, workflows, agents and ways of working that allow our teams to deliver more value with greater quality and speed. This is a highly hands-on role. We are looking for someone who actively uses modern ...

orchestrationAPI designFunction callingLLM evaluation and testingObservability and monitoringModel selection### Key responsibilities* Design multi-agent prompts, orchestration patterns, and tool integrations for production workflows.* Own prompt tooling, evaluation, testing, and optimization across the LLM lifecycle.* Monitor, debug, and improve agents and AI workflows in development and production.## How this … responsible for shaping how LLM-powered agents are designed, orchestrated, tested, monitored, and improved in production. The role sits at the intersection of prompt engineering, agent architecture, solution design, and platform capability development.You will define how agents interact with tools, APIs, and downstream services, and help specify ...

Architect to join a major enterprise AI transformation programme with a leading UK bank. This is a genuinely senior opportunity to define the architecture, engineering standards and delivery of next-generation Agentic AI and Generative AI solutions within a complex, highly regulated environment. You'll operate at the intersection … strategy, enterprise architecture and hands-on engineering, taking ambitious AI initiatives from concept and roadmap through to secure, scalable production. Responsibilities: You'll take ownership of the architecture for enterprise AI capabilities, including: Agentic AI platforms, AI assistants, copilots and autonomous workflows Multi-agent systems incorporating reasoning, planning, memory ...

London, England, United Kingdom Software and Services Software Engineer — Triage Intelligence and Debug Engineering The Triage Intelligence and Debug Engineering team operates at the deepest layers of Apple's software stack, with a mandate that spans the entire product ecosystem. The work we do directly shapes the reliability … every automated pipeline we build contributes to the OS stability that hundreds of millions of people depend on every day. We partner closely with engineering teams across Apple to drive that reliability end-to-end, influencing how the entire organization detects, understands, and resolves systemic failures. Description ...

technical judgment, and customer-facing delivery to ensure successful implementation and long-term adoption. Job Description Role As the Manager of Forward Deployed Engineering (Services) based in London, you will lead a team responsible for hands-on technical delivery of complex enterprise customer engagements. You will coach engineers through … engagements from discovery and requirements gathering through solution design, implementation, launch, and handover. Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders. Guide design, build, and operation of custom agents, integrations, automations, and data pipelines connecting Notion with customers’ systems. Oversee large ...

Principal Software Engineer Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: Head of Engineering Description Defaqto is one of the most trusted names in UK financial services research and ratings, and our technology turns deep market data into decisions that advisers, providers and consumers rely … looking for a Principal Software Engineer to be the most senior individual contributor in our Technology function. Reporting to the Head of Engineering and working closely with the CTO, you will own how we build software at Defaqto: our engineering standards and practices, our technical direction, and above ...

next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands‐on, builder‐focused … will have the opportunity to grow your career while helping advance safe, reliable, and effective AI in financial services. As an Applied AI Engineering Lead - Vice President in Markets Operations, you will lead the design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering ...