51 to 75 of 341 Prompt Engineering Jobs in London

investing in our product, growing an exceptional team, and taking on bigger challenges as we enter our next stage of growth. The engineering team is small and deliberately so. There are no product managers, no designer handoffs, no tickets waiting for someone else to prioritise. Engineers own the full … report directly to Maarten, our CTO. We care deeply about what we build and we genuinely enjoy building it together. Dig deeper into our Engineering/Product ways of working here What we're building and why Conveo is the AI research platform enabling fast, affordable, and high quality ...

Insights team within the Global Technology Division sits at the centre of that effort — pairing deep asset-management business domain knowledge with hands-on engineering to turn emerging AI capability into working solutions. We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support … entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalize what you learn into reusable platform capabilities.The successful candidate combines strong business understanding across asset management ...

operations. Creating AI assistants, copilots and agent-based workflows to enhance analyst productivity. Implementing Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources. Applying prompt engineering techniques to optimise AI performance and accuracy. Integrating AI capabilities with SIEM, SOAR and other cyber security platforms. Establishing evaluation frameworks … developing solutions using the OpenAI Platform and APIs . Strong understanding of Large Language Models (LLMs) and Generative AI technologies. Hands-on experience with Prompt Engineering and AI optimisation techniques. Proven experience implementing RAG architectures and knowledge retrieval solutions. Knowledge of Agentic AI and multi-agent orchestration frameworks. ...

Role We're seeking a versatile Principal Data Engineer who can work across the full stack of Anaplan AI applications, from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic … time. This will help business users use GenAI in their planning workflows. You'll need both deep knowledge of machine learning and strong data engineering skills. Your Impact Design and build the retrieval layer powering RAG and agentic workloads—including vector and graph databases, hybrid search, and architecting knowledge ...

7+ years in developing IT solutionsProficient in Python & ReactJS and related technologies is required.Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essentialExperience with Agentic AI development & Java Spring Framework would be advantageousUnderstanding of full stack development and architecture patterns.Experience ...

developing IT solutions* Proficient in Python & ReactJS and related technologies is required.* Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essential* Experience with Agentic AI development & Java Spring Framework would be advantageous* Understanding of full stack development and architecture ...

Prompt Engineer, Claude, LLM £690 per day | Outside IR35 | Fully Remote | Contract We're looking for an experienced Prompt Engineer to support a major AI-enabled transformation programme. Working closely with business stakeholders and technical teams, you'll be responsible for translating requirements into high-quality prompts, instructions … hallucination management. Collaborate with business and technical teams throughout delivery. Required Experience: Strong experience with Claude and Claude Code . Proven background in prompt engineering, prompt design and optimisation . Excellent requirements gathering and stakeholder engagement skills. Ability to translate business needs into effective AI solutions. Strong ...

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 ...

Responsibilities: Product Excellence & Coaching Coach product teams toward outcome-driven product management Partner with Product Managers, Product Owners, Engineering, Design, and business stakeholders — internally and across our client engagements — to define clear product outcomes, customer value measures, and success metrics that shift the focus from output to impact. Strengthen … accurate, traceable, and fit for business decision-making. Upskill product organizations Coach product teams, leaders, and stakeholders — including client teams — on effective AI utilization, prompt engineering, responsible use, and human-in-the-loop decision-making practices. Required Qualifications, Capabilities & Skills 8+ years of experience in Product Management, Product ...

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 ...

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 ...