251 to 275 of 292 Prompt Engineering Jobs in London

testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows within your workstream. Run and maintain automated test suites for prompt testing, including regression tests designed to detect unintended changes in model behaviour. Support and maintain evaluation frameworks to measure GenAI performance across accuracy, relevance … testing. Take accountability for your workstream's automated coverage, documenting testing procedures and known issues in clear, accessible formats. Your SkillsSolid QA or test engineering experience, with exposure to or a keen interest in AI/ML systems. Hands-on Python coding experience. Good understanding of GenAI technologies including ...

improve documentation, and enhance the customer support experience. Troubleshoot, reproduce, and document complex product issues, including AI-powered features and workflows, escalating bugs to Engineering with clear technical context and customer impact. Guide customers on product functionality, configuration, AI capabilities, workflow optimisation, and best practices to maximise the value … onboarding, product adoption, technical health checks, and configuration reviews by providing consultative guidance and identifying opportunities to improve efficiency. Collaborate cross-functionally with Product, Engineering, Sales, and Professional Services to resolve complex issues, advocate for customer needs, and influence product improvements. Translate technical concepts for non-technical stakeholders through ...

talk about the technology or only talk about the business outcome, that's a flag — you do both instinctively. Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs — agents that … shipped, workflows that changed, problems that got solved. Business analysis instincts: Before you write a single line of a prompt, you ask "what's actually broken here?" Your experience mapping processes and structuring problem statements means you build the right thing, not just a technically impressive thing. Technical foundations ...

evangelise business architecture principles guaranteeing straight-through processing and the timeliness, completeness, and accuracy of financial reporting* Champion Citi architecture principles and standards, counselling engineering teams on application in deliverables* Provide early-stage architecture input to shape Book of Work scope and sequencing, and play a leading role … with senior Finance SMEs, CDO and CIO stakeholders, and delivery leaders on system design, data strategy, and process change**Qualifications*** Extensive experience in an engineering and/or architecture capacity supporting Finance or related business functions, ideally in Financial Services* Proven track record delivering cross-functional business process improvement ...

projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Artificial Intelligence Fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering AI Productivity Tools Workflow Automation Business Process Automation AI Agents and Autonomous Workflows No-Code and Low-Code Automation Platforms API Integrations … realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios Analysing existing business processes ...

agent tool use and RAG-powered responses. * Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. * A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow … life* Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps before AI agent configuration * Designing prompt strategies and evaluating model performance across different foundation models * Building Lambda functions and API integrations that serve as tools for AI agents * Configuring MCP servers to expose ...

assisted, no‐code and low‐code tools, and manage the route to a more robust solution where appropriate. This is not a pure software engineering role, but the person must have enough technical fluency to understand data, APIs, integrations, technical trade‐offs and outsourced development. You should be able … maintained and scaled over time. Required skills and experience Around three to five years’ experience in product management, technical product management, product operations, product engineering, startup building, digital transformation, automation, business analysis or a similar hands‐on product role. Strong ability to diagnose ambiguous problems and turn them into ...

accuracy, completeness, and timeliness of market data across all VettaFi web properties. Build Strategic Partnerships: Collaborate closely with Product, Engineering, and Marketing to ensure the right market data reaches the right investor at the exact right moment. Manage Vendor Relationships: Serve as the primary liaison to key market data … management landscape, ETF structures, and financial market data vendors. Technical & Analytical Chops: Comfortable analyzing complex datasets using SQL and leveraging modern AI workflows (e.g., prompt engineering for LLMs). Collaborative Communicator: Proven ability to translate technical data nuances into actionable insights for product managers, engineers, and executive stakeholders. ...

events a year. They invested in and built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing! Squad model: DS, DE, Product and AI Engineering form around a problem and own the product … inference. Not for: solution architects, software engineers without applied AI, data scientists who haven't owned deployment, or anyone whose GenAI stops at prompt engineering. Package 80,000 - 90,000 DOE 5,000 cash car allowance Single-cover private medical 3 days on-site, London. Monday is team ...

Anaplan in London seeks a Principal Engineer, AI to work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces for business users. You’ll lead the architecture, design and deployment of scalable Generative AI and machine learning systems ...

data cleansing, validation, governance and quality improvement initiatives. Strong technical skills in database management, data analysis and reporting. Good understanding of AI technologies, including prompt engineering and workflow automation, with the ability to identify and implement practical business applications. Experience supporting data-led marketing, CRM and customer insight ...

expert litigators Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D. Drive advanced prompt-engineering practice to maximise model efficacy. Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient. ...

which makes this the most important hire we're making right now. Every game in the feed comes out of it: a creator's prompt → intent extraction → template matching → model routing → asset retrieval → generation → validation and repair → runtime → play telemetry back into the loop. It's built around … judged on two numbers moving at once: playability pass rate up, cost per generation down, at volume. This is not a prompt-engineering role, and not a research role where someone else ships your work. It's also not "LLM app" building - the output here has to compile ...

models from testing to deployment. You’ll collaborate with ML Engineers and Infrastructure teams to scale AI responsibly, setting standards for prompt and agent development. You should bring deep experience with Python, API design, and production AI projects, including prompt engineering and RAG #J-18808-Ljbffr ...

Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical … Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.We operate as a collaborative and inclusive organisation that empowers our people to take ...

Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical … Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people ...

Context Protocol (MCP), Agentic Frameworks, Knowledge Graphs, Semantic Layers, Vector Databases, and Cloud AI services.This role will act as the bridge between Business, Product, Engineering, Data, Security, Risk, and Technology teams to accelerate the adoption of AI-driven capabilities across the enterprise.The ideal candidate will possess a combination … retrieval.Design Agentic AI and multi-agent frameworks to automate complex business processes.Implement Model Context Protocol (MCP) patterns for tool and system integration.Define standards for:Prompt EngineeringContext ManagementAI EvaluationGrounding & RetrievalHallucination ReductionAI ObservabilityLead architecture of AI assistants, copilots, virtual agents, and autonomous workflows.Your Skills:Essential10+ years of Technology Architecture experience.5+ years ...

Equity and a wide range of markets. Within QTR, AI Market Lab brings together quantitative research, modern artificial intelligence, market microstructure, and high-performance engineering to develop the next generation of electronic trading capabilities. Our work spans signal research, pricing, market making, execution, portfolio construction, risk management … infrastructure engineers. Required Qualifications, Capabilities, and Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre-training a large model from scratch (Transformer/LLM/multimodal/time-series). Experience ...

seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. Youll collaborate with product, engineering, and business teams to transform data into actionable insights and high … e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams to integrate models into production ...

that analyse millions of documents to extract critical factual information for winning cases. You will design LLM agents, develop robust evaluation pipelines, and drive prompt engineering while balancing token limits, cost and latency. #J-18808-Ljbffr ...

Orchestration Engineer to lead the agentic infrastructure, designing systems where multiple AI agents collaborate to solve enterprise problems. You'll move beyond prompt engineering into semantic memory, recursive reasoning loops, and multi-tool integration, ensuring our DataSirpi Agents are both powerful and predictable. You are a software engineer ...

looking for a passionate and skilled Software Development Engineer in Test (SDET) to join the Rufus Quality Engineering team. Rufus is Amazon's conversational AI shopping assistant, and as an SDET on this team, you will play a critical role in building scalable test automation frameworks, enabling Continuous Deployment … driving quality excellence across Rufus services. This role is ideal for engineers who thrive at the intersection of software development and quality engineering — building tools, frameworks, and intelligent systems that empower developers to ship high-quality features at speed. Key job responsibilitiesTest Automation Framework Development: Design, build, and maintain ...

it. Minimum bar: negotiated at least one $100k+ deal Enterprise experience: managed complex orgs, sold to multiple stakeholders Experience working closely with product and engineering teams Experience analyzing usage patterns and competitive landscapes, and translating data into actionable account strategies Comfort operating in fast-moving, evolving environments Mindset & Approach … products, or systems without being told Everyone at Siena Is Technical This bar applies to every role at Siena, including this one. Hands-on prompt engineering experience - able to optimize AI responses, train conversation flows, and refine model outputs. Must go deeper than transcription tools or using ChatGPT ...

interactions with proper state management Complex modal systems and multi-step user flows Real-time feedback mechanisms for AI model outputs Intuitive prompt engineering tooling and creative writing interfaces Responsive, accessible UI components that handle edge cases gracefully What you’ll own: Converting UX wireframes into pixel‐perfect … understand more about you, your skills and and help you learn more about the project Tech test and review with our design/engineering team (3-6 hours, take‐home project) Final interview with our CEO and tech lead. #J-18808-Ljbffr ...

leads the assessment of AI tools and vendors, and provides technical oversight across AI initiatives running inside Howden and with external delivery partners. When engineering work is happening — whether done internally or by third parties — this role ensures it’s done to the right standard and that Howden retains … outcomes. Technical enablement Set and maintain technical standards for how AI is built across the business — covering areas like agent development, knowledge retrieval, prompt engineering, and evaluation. Support colleagues and divisional AI leads who are building or deploying AI, and translate technical constraints into practical guidance that people ...