76 to 100 of 441 Prompt Engineering Jobs in the UK

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 ...

goals, helping us solve problems of high scope and complexity. Innovative Culture: You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems. Autonomy: You will thrive in our remote-first, asynchronous organization … performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate. AI Integration: Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use. What you’ll bring Deep Backend Expertise: A strong ...

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 ...

support audit remediation effortsOperate with a dry-run-first, confirm-before-modify, audit-everything approach on production systemsDesign and maintain AI developer tooling, including prompt engineering and LLM-assisted code generationRequired qualifications, skills, and capabilitiesProficiency in Python, including type annotations, context managers, generators, and functional programming patternsKnowledge … stage data processing pipelines (graph-based, batch, or streaming)Understanding of security best practices, including input validation and vulnerability remediationExperience with agentic AI and prompt engineering, including LLM-based developer agents and workflow orchestrationPreferred QualificationsBackground in financial services, derivatives pricing, market data, or valuation conceptsExperience with distributed compute ...

remediation efforts Operate with a dry-run-first, confirm-before-modify, audit-everything approach on production systems Design and maintain AI developer tooling, including prompt engineering and LLM-assisted code generation Required qualifications, skills, and capabilities Proficiency in Python, including type annotations, context managers, generators, and functional programming … data processing pipelines (graph-based, batch, or streaming) Understanding of security best practices, including input validation and vulnerability remediation Experience with agentic AI and prompt engineering, including LLM-based developer agents and workflow orchestration Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience ...

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. ...

building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling … standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This ...

isolated tasks to architect solutions across workflows using Gemini and API integrations. The industry expectation is that you will bring a native understanding of prompt engineering for automation. This role suits someone who combines strong technical capability with a proactive, problem‐solving mindset and enjoys turning ideas into … logic design, and the use of data schemas to identify business commonalities. AI Architecture & Integration: Practical experience building integrated solutions across AI platforms, utilising prompt engineering for automation and connecting systems via APIs. Data & ROI Analytics: Proven ability to use data tools to measure, track, and quantitatively present ...

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 ...

remediation efforts Operate with a dry-run-first, confirm-before-modify, audit-everything approach on production systems Design and maintain AI developer tooling, including prompt engineering and LLM-assisted code generation Required qualifications, skills, and capabilities Proficiency in Python, object oriented programming, context managers, generators, and functional programming … heavy development, including unit, integration, and regression testing Understanding of security best practices, including input validation and vulnerability remediation Experience with agentic AI and prompt engineering, including LLM-based code development Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience with distributed compute ...

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 ...

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 ...

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 ...

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 ...