251 to 275 of 306 Prompt Engineering Jobs in London

agentic workflows. Develop robust, end-to-end automated test suites in Python across evaluations, API checks, UI checks, and performance tests. Create automated prompt testing systems and regression suites to proactively detect unintended changes in model behaviour. Establish multi-dimensional evaluation criteria to measure and track GenAI quality across … Perform adversarial testing (red‐teaming) to identify and mitigate model hallucinations, biases, or security vulnerabilities. Develop internal tools and testing frameworks that enable software engineering teams to seamlessly validate their own GenAI implementations. Deploy real‐time monitoring and alerting systems to quickly detect and flag quality degradation ...

fast-moving revenue generating pre-seed startup already running frontier AI models in production. You'll work directly with the founders, own AI engineering end-to-end, and have a major impact across product quality, infrastructure efficiency and technical direction. We're looking for a high calibre AI Engineer … looking for: 5+ years' experience within Applied AI/ML/MLOpsStrong Python and production AI systems experienceExperience with LLMs, Generative AI, prompt engineering or agentic workflowsExposure to AI infrastructure, deployment, evals or optimisationStartup mindset with a hands-on, product-focused approachComputer vision/video/VFX/ ...

Technology team in London as a Lead Software Engineer, Applications Development at Vice President level — a senior role at the forefront of engineering innovation within a globally operating financial institution. In this position, you will lead the design, development, and delivery of complex application systems that directly shape … business processes, system workflows, and industry standards.* Develop and enforce standards for coding, testing, debugging, and implementation to maintain quality and consistency across the engineering team.* Build comprehensive knowledge of how business functions such as architecture and infrastructure interconnect, applying this understanding to deliver integrated technical solutions.* Translate business ...

passionate about turning complex problems into simple, elegant solutions, this role is for you. You’ll have a meaningful opportunity to shape our engineering culture from the ground up. What you’ll do Develop ML/AI functionality at the core of our platform, owning end-to-end design … implementation Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching Design and run experiments to explore ...

Technology team in London as a Lead Software Engineer, Applications Development at Vice President level — a senior role at the forefront of engineering innovation within a globally operating financial institution. In this position, you will lead the design, development, and delivery of complex application systems that directly shape … business processes, system workflows, and industry standards. Develop and enforce standards for coding, testing, debugging, and implementation to maintain quality and consistency across the engineering team. Build comprehensive knowledge of how business functions such as architecture and infrastructure interconnect, applying this understanding to deliver integrated technical solutions. Translate business ...

work in highly demanding, fast-paced environment Self-motivated, able to work and excel autonomously on job responsibilities. Bachelor’s degree in Computer Science, Engineering, or related field/similar experience. Hands-on experience using AI coding assistants such as Claude (including Claude Code) and GitHub Copilot to generate … with sound judgement on where AI assistance is and is not appropriate. Working knowledge of agentic AI concepts — autonomous, multi-step AI agents and prompt engineering — applied to QA tasks such as test generation, log and failure analysis, and exploratory testing. Nice to Have Hands on experience designing ...

ensure the efficacy and reliability of solutions and to build trust with stakeholders Help to design technical architectures and solutions Collaborate heavily with engineering functions to deliver high quality, scalable output Stay up to date with the latest developments in AI and become an SME within the data science … foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities, and skills Strong ...

Leading Banking client are looking for a talented and motivated individual to join their expanding AI & Innovation team within Architecture & Engineering at a key stage in their AI journey. The team plays a central role in shaping and delivering AI strategy, governance, product discovery, adoption and enterprise AI solutions … language models (LLMs), agent-based patterns, workflow orchestration and enterprise AI integration. Practical experience applying techniques such as retrieval-augmented generation (RAG), knowledge grounding, prompt engineering and human-in-the-loop design patterns. Experience designing secure and controlled AI solutions, including guardrails, responsible AI, explainability and governance considerations. ...

Leading Banking client are looking for a talented and motivated individual to join their expanding AI & Innovation team within Architecture & Engineering at a key stage in their AI journey. The team plays a central role in shaping and delivering AI strategy, governance, product discovery, adoption and enterprise AI solutions … language models (LLMs), agent-based patterns, workflow orchestration and enterprise AI integration. Practical experience applying techniques such as retrieval-augmented generation (RAG), knowledge grounding, prompt engineering and human-in-the-loop design patterns. Experience designing secure and controlled AI solutions, including guardrails, responsible AI, explainability and governance considerations. ...

Software Engineer Department: Engineering Employment Type: Fixed Term - Full Time Location: London, UK Description We are looking for a Developer to join our small, dynamic team developing cutting-edge football data acquisition and analysis systems. We are leveraging frontier LLM systems to generate high-value structured data in real …/LLM integration : Experience with design and delivery of analytics pipelines which include LLM elements for conversion of unstructured to structured data: familiarity with prompt engineering in this domain with OpenAIand/or other frontier model APIs Version Control & CI/CD : Proficiency with Git and modern deployment ...

drafting, exception handling, or process design and a clear-eyed view of where they add value and where they introduce risk. Practical fluency in prompt engineering, AI workflow design, and agentic tooling — enough to configure and iterate on AI deployments without writing code, and enough to evaluate outputs ...

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 ...