1 to 25 of 37 Remote/Hybrid Prompt Engineering Jobs in London

generation. At AKQA, we are not exploring this future theoretically. We are already building it. We are looking for a Director, Generative AI Experience Engineering to define and deliver the next generation of AI‐native customer experiences across commerce, content and customer interfaces for some of the world … most ambitious brands. This role sits at the intersection of AI systems engineering, generative experience design and modern frontend architecture leadership. We are not looking for a traditional engineering manager, nor a pure AI researcher removed from delivery. We are looking for a hands‐on technical leader ...

Engineer Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit … experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will ...

fast-evolving market. With a strong focus on innovation, this organisation is embracing modern platforms, AI-driven development practices, and forward-thinking engineering principles to transform how they build and deliver solutions. This is an exciting opportunity to join a business that is not only keeping pace with technological … senior developer ready to take the next step in their career. You'll play a key role in shaping the development function, guiding engineering best practices, and leading the adoption of emerging technologies. This is not a purely managerial position - you'll remain close to the code while influencing ...

hands-on technical leadership role, ideal for a senior developer looking to advance their career. You will be the epicentre of shaping the engineering function, championing best practices and driving the adoption of innovative technologies at an organisational scale. This is a very technically-rounded position rather than … managerial one, where the key focus will be leading the evolution of AI-enabled software development. It includes leveraging prompt engineering, AI-assisted development tools and emerging AI coding approaches to unlock new potential for innovation. Key Responsibilities Lead and mentor a team of developers while remaining actively ...

organization. This role requires a high degree of autonomy and ownership, as you'll be responsible for designing scalable solutions that empower multiple engineering teams while ensuring reliability, observability, and cost efficiency. What are we looking for: 5+ years of experience in Software Engineering, Backend Engineering … building and maintaining backend systems and distributed services in production environments. Experience designing developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts ...

financial services business that has built its technology function with a modern, cloud-first approach. With very little legacy technology and continued investment in engineering excellence, the organisation is now placing AI at the centre of its technology strategy. As an AI Engineer, you'll play a key role … designing and delivering innovative AI solutions that support business growth and improve engineering capability across the organisation. Working closely with engineering teams, product stakeholders and senior leadership, you'll help turn cutting-edge AI technologies into real-world business outcomes. The company has invested heavily in creating ...

closed deal C-suite stakeholders, pitching commercial AI solutions and translating technical capability into business and cost impact Multidisciplinary delivery teams, directing architecture and engineering approach on complex, production-grade AI pipelines The full Applied AI stack - large language models, prompt engineering, RAG, vector databases and MLOps … sales and managing large accounts within Technology, Media or Telecommunications sectors Strong commercial understanding of generative AI and the modern AI stack, including LLMs, prompt engineering, RAG, vector databases and MLOps Experience leading delivery of production AI solutions, with accountability for outcomes and direction of architecture and engineering ...

that enhance consulting delivery, unlock new analytical capabilities, and augment expert judgement. Develop generative AI applications using techniques such as Retrieval‐Augmented Generation (RAG), prompt engineering, and tool‐augmented agents to convert complex, unstructured insurer data into reliable, structured insights, prototypes, and semi‐automated analytical tools. … interfaces over insurer datasets, AI‐assisted exploratory analysis, document understanding, and generation of structured analytical outputs. Apply rigorous AI evaluation and safety practices, including: Prompt and few‐shot experimentation Hallucination detection and mitigation Deterministic and rule‐based validation SME‐driven constraints and edge‐case testing Human‐in‐the‐loop ...

Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across … lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. Key Responsibilities Partner with ...

agentic AI solutions integrated with Microsoft 365 and line-of-business applications. Lead technical initiatives and establish standards and best practices for conversational design, prompt engineering, and multi-turn agent orchestration. Mentor junior engineers and provide technical guidance to business stakeholders while supporting Fitch’s citizen development program. … Information Technology, with a focus on Microsoft 365, Power Platform, and AI agent solutions. You have 5+ years of hands-on experience leading engineering or support teams within the Microsoft collaboration ecosystem. You have advanced expertise in conversational AI, prompt engineering, solution ALM, and secure architecture. ...

Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core … systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems ...

support AI applications Build scalable data pipelines for AI model training and inference Fine-tune, evaluate and optimise machine learning models Collaborate with software engineering teams to integrate AI capabilities into existing products Monitor model performance and implement continuous improvement processes Ensure AI solutions are secure, scalable and compliant … Language Models (LLMs) Knowledge of Generative AI technologies RAG (Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

technology products across Mercer businesses. You will be the hands-on Tech Lead for a small UK-based team working closely with an India engineering pod, owning technical direction, delivery, and day-to-day engineering leadership. The role requires strong domain partnership (risk advisory/consulting stakeholders) alongside … pragmatic software engineering and architecture judgment. We will count on you to: Lead end-to-end delivery of CAT products (e.g., Concierge an agentic AI workflow tool, Prism a Mercer knowledge fabric for scheme data, and similar initiatives), from problem framing and design through build, release, and support. Translate ...

document-centric business challenges. You will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments. We're particularly interested in engineers who have … business stakeholders to deliver enterprise AI solutions Contribute to AI products across document intelligence, knowledge search, workflow automation and AI assistants Help shape engineering standards, Responsible AI practices and cloud governance across the AI platform Key Requirements Commercial experience building and deploying LLM-powered applications into production Strong hands ...

modern data platform and contribute to emerging AI-driven initiatives. This role offers the opportunity to work at the intersection of data engineering, business intelligence, and AI, helping to shape both current analytics capabilities and future data solutions. Key Responsibilities Design, build, and optimise data pipelines and platform components … Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly ...

integrations across internal systems, APIs, and cloud environments. * Develop proof-of-concepts and rapidly iterate solutions, balancing innovation with business priorities and timelines. * Implement prompt engineering, model evaluation, testing, and monitoring frameworks to ensure reliable and high-quality outputs. * Work with structured and unstructured datasets to support ...

embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph ...

development of AI-enabled solutions and establish best practice for the safe and effective deployment of AI agents. This is not a traditional software engineering position. We're looking for someone with practical experience building and implementing AI solutions who can bridge the gap between business and technology teams. … assistants, agent frameworks or similar platforms. Exposure to cloud technologies, APIs and solution integrations. Knowledge of Python, scripting or other programming languages. Understanding of prompt engineering, agent orchestration, RAG or AI evaluation techniques. Experience supporting AI capability building, training or adoption initiatives. Knowledge of AI governance, risk management ...

Azure, GCP, Databricks or similar technologies ·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments ·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns ·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies ·Understanding of MLOps ...

library of reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills Experience in a deployment or implementation-focused technical role Familiarity with RPA tools Product management or solutions engineering background Claude Code, Claude Cowork, or Claude Skills Experience 35 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting ...

library of reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills • Experience in a deployment or implementation-focused technical role • Familiarity with RPA tools • Product management or solutions engineering background • Claude Code, Claude Cowork, or Claude Skills Experience • 3–5 years in a role blending business problem-solving with hands-on technical building — solutions engineering, technical consulting ...

technologies create measurable business value. You will join a collaborative environment where AI is a strategic growth area, working alongside experienced technology, data and engineering professionals to help clients realise the benefits of Generative AI and advanced analytics. The Role You will be responsible for developing and growing relationships … Generative AI, helping organisations understand where AI can deliver measurable operational and commercial value. Oversee the successful delivery of production AI solutions, guiding architecture, engineering and delivery teams while maintaining accountability for outcomes. Shape AI strategies and solution approaches across the modern AI stack, including Large Language Models (LLMs ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...