26 to 50 of 341 Prompt Engineering Jobs in London

from ambition to measurable impact. You’ll own product strategy and delivery for GenAI capabilities reaching more than 250,000 colleagues worldwide, working with engineering, data, risk, compliance and cybersecurity specialists. If you’ve delivered practical LLM-based products and know how to balance innovation with safety, security … improvement. Define and prioritise the GenAI backlog, balancing colleague value, model capability, user experience, technical dependencies, cost, operational resilience and risk. Work closely with engineering, data, architecture and machine-learning specialists to shape requirements and deliver solutions using technologies such as large language models, prompt engineering ...

assess quick‐win candidates, needs for architect‐level guidance, and non‐worth‐pursuing cases. Create technical training content on RAG, AI agent design, prompt engineering, and API integration for a Tech audience. Provide floor support during workshops, including live debugging and troubleshooting. Governance, Security & Process Ensure security, data … . Prioritise if the main AI enablement pipeline requires full capacity. Required Skills & Qualifications 4–7 years in a hands‐on technical role (data engineering, AI/ML engineering, solutions architecture, or DevOps) with a subsequent move into enablement, consultancy, or internal transformation. Proven experience coaching technical teams ...

client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will be pivotal to problem definition and discovery of the overall solution and guide teams on project processes, deliverables. You will … respected and valued. Required Experience of solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of GenAI prompt engineering, RAG pipelines, Supervised/unsupervised ML and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc. ...

platform within complex enterprise environments. You will also help shape the conversational experience layer by translating customer requirements into AI Agent behavior through prompt engineering, LLM concepts, and conversational design. Prior conversational design experience is valuable but can be further developed on the job. You will work closely … into structured conversational components and reliable AI Agent behavior. Apply knowledge of LLMs, prompting strategies, embeddings, and context management to improve agent performance. Support prompt design, conversational flows, guardrails, escalation logic, and voice configuration such as SSML, lexicons, and regex. Apply structured testing to validate architecture, integration reliability, agent ...

enthusiastic about using AI as a core part of how work gets done. You should be highly skilled in prompting, understand how to apply prompt engineering best practices, and be comfortable working with common enterprise LLM tools such as ChatGPT, Claude, or similar platforms. This role is ideal … reporting, analytics, insights, and user assistance. Translate FP&A business needs into practical AI use cases, prompts, workflows, and solution components. Develop and maintain prompt libraries, AI workflows, prototypes, demos, and reusable AI solution assets. Work with Product Owners, Solution Architects, FP&A experts, and developers to embed ...

Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across Europe. This customer-facing technical role combines solution architecture, customer engineering, and hands‐on AI implementation to help enterprises design, build, deploy, and scale production‐ready AI applications. Leveraging Tencent Cloud TokenHub—a unified … access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem—you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will serve as the technical bridge between customers ...

with the ability to translate complex business challenges into scalable, secure and production-ready solutions. As part of Optima’s growing AI capability within Engineering, you will work closely with colleagues across data science, data engineering, consulting and client engagement to shape client AI strategies, lead proof … integrate cleanly into cloud-native PaaS and SaaS environments, with robust approaches to real-time and batch processing where required. Establish best practices for prompt engineering, model selection, grounding, evaluation and guardrails across AI solutions. Lead AI and LLM proof-of-concepts at client sites, rapidly demonstrating ...

Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across Europe. This customer-facing technical role combines solution architecture, customer engineering, and hands-on AI implementation to help enterprises design, build, deploy, and scale production-ready AI applications. Leveraging Tencent Cloud TokenHub—a unified … access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem—you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will serve as the technical bridge between customers ...

strong engineer growing into architecture and client‐facing leadership. Your key responsibilities Hands‐On Delivery Build and deliver GenAI solution components: RAG pipelines, prompt orchestration, tool‐calling integrations, and APIs. Support the solution architecture and contribute to design decisions within your components. Ensure your components are reliable, secure, performant … cost‐aware. Contribute to delivery execution: implementation, testing, debugging, and resolution of technical issues. Apply engineering standards, reusable frameworks, and accelerators in your work. Take ownership of the quality and timeliness of your deliverables. Technical Contribution Implement generative AI solutions using LLMs, RAG pipelines, prompt orchestration, and agentic ...

Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across Europe. This customer-facing technical role combines solution architecture, customer engineering, and hands-on AI implementation to help enterprises design, build, deploy, and scale production-ready AI applications. Leveraging Tencent Cloud TokenHub—a unified … access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem—you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will serve as the technical bridge between customers ...

Lynx Recruitment are looking for a Technical Consultant to join a leading AI consultancy, working across AI, software development and product engineering to deliver innovative solutions for clients. You will work with clients, consultants, engineers and delivery teams to understand complex challenges, explore emerging technologies and turn ideas into … understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering ...

Lynx Recruitment are looking for a Technical Consultant to join a leading AI consultancy, working across AI, software development and product engineering to deliver innovative solutions for clients. You will work with clients, consultants, engineers and delivery teams to understand complex challenges, explore emerging technologies and turn ideas into … understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering ...

specifications for agentic systems and agent-to-agent (A2A) communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product … engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing ...

Lynx Recruitment are looking for a Technical Consultant to join a leading AI consultancy, working across AI, software development and product engineering to deliver innovative solutions for clients. Check below to see if you have what is needed for this opportunity, and if so, make an application asap. … understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering ...

products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world's most complex multinational employers. You will deliver hands-on engineering across Next.js and React front ends and C# and .NET services running on Microsoft Azure, working in a highly regulated, multi-jurisdictional environment where … operational tooling. Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, sensitive financial or personal data handling). Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs—with attention to accuracy and reconciliation in calculation-heavy systems. Experience with ...

hands-on, technically fluent Product Manager who can move with equal confidence between a business stakeholder describing an operational problem and an engineering team designing the solution. This is not a traditional product management role - it sits at the intersection of product, technology, and operational transformation, working in small … sequence the most valuable use cases against available investment. Rapid Prototyping and Discovery Lead intensive discovery phases with Fund Services operations, product, and engineering teams to uncover problems, define use cases, and co-create working prototypes rapidly. Facilitate design sprints and workshops that compress the time from problem identification ...

Engineer to design, build, and deploy production‐grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You’ll work with cutting‐edge LLM technologies, building advanced … that makes these systems production‐ready—handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non‐deterministic systems that users can trust. Responsibilities Design ...

needed to take AI solutions safely into production. The Role Design, build and productionise AI-enabled features and services using large language models, RAG, prompt engineering and agent frameworks/orchestration (such as LangChain, LangGraph or Semantic Kernel). Take AI solutions beyond prototype, owning evaluation, testing, guardrails … capability spreads. Challenge established development processes and procedures, particularly how AI agents are integrated into the SDLC, and work closely with the Engineering Leads on tooling adoption and delivery outcomes. Track AI and agentic technology trends outside the organisation and apply them pragmatically to our products, whilst developing deep ...

Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry‐leading platform by architecting … Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject ...

Role We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state‐of‐the‐art techniques and modern technologies.. You’ll own the full lifecycle … applications: building data pipelines, prompt & feature engineering , integrating models into high throughput, low latency services, and deploying production‐ready , AI powered features that delight our 70+ million users. What You’ll Own Build, deploy, and maintain AI agents and features across Linktree’s core product surfaces — including personalisation ...

Staff AI Engineer London Engineering In office Full-time The Role We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state … techniques and modern technologies.. You’ll own the full lifecycle of AI applications: building data pipelines, prompt & feature engineering , integrating models into high throughput, low latency services, and deploying production-ready , AI powered features that delight our 70+ million users. What You’ll Own Build, deploy, and maintain ...

Familiarity with investment research, portfolio construction, performance analysis, or investment workflows. Hands-on experience with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), prompt engineering, information extraction, evaluation frameworks, and agentic workflows. Significant experience in AI engineering, data engineering, software engineering, or a related … into practical technical solutions. Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders. Degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience. Experience with Microsoft Azure, Microsoft Fabric, Microsoft 365 Copilot, or other enterprise AI platforms. ...

scalable, secure, resilient, and cost‐aware in production. Manage delivery execution: architecture decisions within scope, technical risks, dependencies, quality checks, and blocker resolution. Apply engineering standards, reusable frameworks, and accelerators to improve delivery quality and speed. Take accountability for delivery quality, timelines, and outcomes within your workstream. Technical Direction … Design generative AI solutions: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and integration. Build solutions for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact‐center copilots). Design and tune RAG systems: chunking, embeddings, vector stores, retrieval tuning, and grounding ...

resilient, performant, and cost-optimized in production. Drive delivery governance: architecture decisions, technical risk management, dependencies, quality gates, and blocker resolution. Apply and extend engineering standards, reusable frameworks, and accelerators to improve delivery velocity and consistency. Own technical outcomes and accountability for delivery quality, timelines, and measurable business impact … within your scope. Technical Direction Define end-to-end generative AI architectures: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and enterprise integration. Architect solutions for high-value insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact-center copilots). Design ...

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 generalise what you learn into reusable platform capabilities. The successful candidate combines strong business understanding across asset ...