76 to 100 of 545 Prompt Engineering Jobs in the UK

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 ...

scalable data products, BI and AI/ML. Lead reporting, analytics and AI decisions, standards and designs, working closely with IT enterprise architecture, engineering, security and vendors to deliver a coherent, supportable platform. Lead the team and external vendors to deliver work to high standards. Coach the IT team … modelling, classification, segmentation, anomaly detection, and forecasting. Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate ...

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. ...

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 ...

client delivery teams, responsible for designing, building, and operating production-grade agentic AI systems on AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding … systems with observability and tracing tooling — CloudWatch, spans, and traces — to support debugging, performance monitoring, and compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends ...

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 ...

civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department’s legacy and multi-cloud systems. Prompt Engineering … self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows ...

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 ...

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 ...

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 ...

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 ...