26 to 50 of 105 Prompt Engineering Jobs in London

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. ...

Cloud Platform (GCP) environment, using leading AI and LLM tools Looking at current development processes and identifying where AI can add real value Driving prompt engineering and more modern, AI-led approaches to building and improving systems What they're looking for Experience within insurance or financial services … this doesn't need to be purely technical) Hands-on prompt engineering experience Experience working in a GCP environment (or strong exposure) Someone who already has an AI-first mindset Comfortable working with different teams and speaking to stakeholders Confident enough to suggest ideas and improvements, not just ...

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 ...

built on modern cloud data platforms. This is a hands-on technical role focused on designing and implementing production-ready solutions that combine Data Engineering, Analytics and Generative AI capabilities. The successful candidate will act as the technical lead during delivery, translating high-level architectures and business requirements into … Experienced in taking solutions from concept to production. Comfortable operating in ambiguous environments and defining implementation approaches. Experience 6+ years of experience in Data Engineering, Analytics Engineering or AI Engineering. 3+ years of experience leading technical delivery of Data or AI initiatives. Proven experience delivering enterprise-grade solutions ...

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 ...

Data Financial Services practice, focused on delivering large-scale AI transformation across Banking. This role sits at the forefront of enterprise AI engineering, architecture, and delivery leadership , helping major financial institutions design, build, and operate scalable AI systems that modernise core business processes. You will operate across the full … team development . Key Responsibilities Translate senior stakeholder vision into AI transformation strategies, architecture, and delivery roadmaps Lead and oversee multi-disciplinary AI engineering teams and workstreams Design and deliver enterprise-scale AI systems, including agentic and GenAI solutions Collaborate with architects, data scientists, DevOps, and business stakeholders ...

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 ...

Technical Lead – Java (AI Enabled) Engineering · UK About Xceedance Xceedance is a global provider of strategic consulting, managed services, and technology solutions to the insurance industry. We help insurers, reinsurers, brokers, and MGAs modernize operations, enhance underwriting and claims capabilities, and accelerate digital transformation using data, analytics, and advanced … accomplished Technical Lead with deep Java expertise and demonstrated experience integrating AI/ML capabilities into production systems. This role combines hands-on engineering with technical leadership — you will own the architecture and delivery of cloud-native microservices on our BPA (Beyond Policy Administration) platform, lead a team ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

technology infrastructure standards. Continuously evaluate emerging technologies and mentor and elevate team members. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 10+ years in software engineering, with hands‐on AI system design, build or integration, and a track record of taking AI prototypes … production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job Responsibilities Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

driving a multi-year transformation from legacy on-premise systems to a cloud-native, AI-first composable SaaS platform. Lead platform architecture, large engineering teams (150–300+), generative AI integration, client-facing technology engagements, and technical M&A decisions. Job Description Role SymphonyAI is hiring an SVP of Engineering … architecture and embed AI/ML and generative AI across the product suite. The role is based in EMEA (Paris headquarters) and includes global engineering leadership and client-facing responsibilities. Key Responsibilities Define and own the multi-year roadmap for Systems of Execution (WMS, TMS, OMS) and Systems ...

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 ...

operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents or agentic workflows). … Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines ...

Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. Contract Senior AI Engineer/… Senior AI Engineer to design, build and run cutting-edge AI-enabled applications that drive real organisational impact. This is a hands-on engineering role focused on applying advanced AI (especially large language models) in live services-rather than developing new algorithms from scratch. You'll work ...

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 ...

build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we are not looking for engineers who use AI tools occasionally. We need engineers who have fundamentally changed how they work: using tools … throughout - not just for coding, but across the entire workflow including design, testing, and documentation Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver ...

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 ...

London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms … large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What ...

London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms … large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What ...

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 ...