51 to 75 of 130 Prompt Engineering Jobs in the UK excluding London

into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with ...

GCP. Understand how AI can be embedded into business processes, customer journeys and decision-making, working collaboratively with business, product, design and engineering teams to deliver practical solutions. Support deployment, adoption and change by translating complex technical concepts into clear recommendations and practical experiences for business users, while contributing … ability to apply technology to practical challenges. Data & AI Transformation Experience: Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. Experience working in Agile or iterative delivery teams, with ...

Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What … agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute ...

role, with the opportunity to create new systems and capabilities that will accelerate our business. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this … role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays ...

function. Working alongside senior technical leaders, you will help build production-grade AI agents and applied systems while developing foundational expertise in enterprise AI engineering at one of the UK's largest insurers. Technology and AI are central to Aviva's strategy. Today, we serve over 25 million customers … love to hear from you. A bit about the job: You will contribute directly to the delivery velocity of our Applied AI Engineering team, building well-tested, high-quality code for multi-agent systems, context engineering and AI evaluation under the close guidance of lead engineers. You will ...

Description We are looking for Prompt Designer develops and optimizes AI prompts to deliver accurate, consistent, and safe outputs from Large Language Models (LLMs). This role collaborates with Product, Engineering, and UX teams to design AI interactions, improve prompt performance through testing and evaluation, establish PromptOps … ensure compliance with governance, security, and quality standards. Key Responsibilities Design, develop, and maintain prompts, templates, and output formats for AI applications. Optimize prompt performance through testing, experimentation, and refinement. Define evaluation criteria, quality standards, and success metrics for AI outputs. Monitor and improve accuracy, consistency, safety, latency ...

Description We are looking for Prompt Designer develops and optimizes AI prompts to deliver accurate, consistent, and safe outputs from Large Language Models (LLMs). This role collaborates with Product, Engineering, and UX teams to design AI interactions, improve prompt performance through testing and evaluation, establish PromptOps … ensure compliance with governance, security, and quality standards. Key Responsibilities Design, develop, and maintain prompts, templates, and output formats for AI applications. Optimize prompt performance through testing, experimentation, and refinement. Define evaluation criteria, quality standards, and success metrics for AI outputs. Monitor and improve accuracy, consistency, safety, latency ...

innovation with practical delivery, ensuring data and AI become genuine differentiators across products, services and internal operations. Work closely with the executive team, Product, Engineering, Architecture and Security, to drive the AI roadmap, priorities and delivery outcomes. Key Responsibilities: Define and deliver the Data & AI strategy, roadmap and technical … scale successful solutions into production. Own the data platform strategy, ensuring well-governed data underpins AI and analytics initiatives. Establish robust MLOps and engineering practices covering deployment, monitoring, experimentation and governance. Champion practical AI adoption across Product and Engineering to improve ways of working. Build, lead and develop ...

Moonfire seeks a Senior Prompt Engineer to lead design, optimization, and scaling of prompting strategies for large language models. You’ll partner with engineering to embed prompts in apps, agents, and RAG pipelines, driving performance and safety. The role demands 5+ years in software engineering with 2+ … years in production prompt engineering, expert Python/Java, and hands-on use of LangChain, LangSmith, and OpenAI Evals. Hybrid UK-based position with equity. #J-18808-Ljbffr ...

transformative journey as a Forward Deployment Engineer at our client, our vision is clear To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with … more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices ...

will design, build and ship agentic AI applications on Microsoft Azure for clients in regulated and high-governance sectors. This is a hands-on engineering role in a product-aligned team: you will take a solution from first design through to live production, and then keep it running.We work … loop approval on every outbound decision.* A document-intelligence pipeline for a utilities client that extracts structured data from tens of thousands of scanned engineering records, with automated groundedness and accuracy evaluation gating each release.* An internal developer platform capability that lets a retail client's own engineers deploy ...

Development team, you will help develop and deploy AI-powered solutions, including AI agents, copilots, and decision-support tools, that solve real manufacturing and engineering challenges. You will collaborate with engineers, manufacturing specialists, and technology experts to explore how AI can improve productivity, decision-making, and operational performance. This … copilots, and intelligent automation solutions. Build AI applications using LLMs, APIs, and enterprise data sources. Prototype and evaluate new AI technologies for manufacturing and engineering use cases. Collaborate with engineering, operations, and IT teams to solve business challenges. Support the deployment and adoption of AI and digital transformation ...

opportunity to impact your career and help you push the limits of what is possible. You will help teams adopt approved AI-assisted engineering practices that improve quality, speed, and operational resilience. If you enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful … ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will ...

Abcam's Agentic AI platform and applications, including RAG systems and agent workflows, for use by both internal and external Abcam customers. Establish engineering best practices for GenAI/LLM applications, including system design patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle. … engineers, influencing architectural direction, and driving the successful delivery and adoption of Agentic AI capabilities. The essential requirements of the job include Strong software engineering capability, primarily in TypeScript (with Python as an additional benefit) with backend and API development skills. Demonstrated ability to design, deploy, and operate production ...

Abcam’s Agentic AI platform and applications, including RAG systems and agent workflows, for use by both internal and external Abcam customers. Establish engineering best practices for GenAI/LLM applications, including system design patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle. … engineers, influencing architectural direction, and driving the successful delivery and adoption of Agentic AI capabilities. The essential requirements of the job include: Strong software engineering capability, primarily in TypeScript (with Python as an additional benefit) with backend and API development skills. Demonstrated ability to design, deploy, and operate production ...

Engineer - Tewkesbury Ontic, a leading licensor and manufacturer of complex engineering parts for the global aerospace and defence industries, are now recruiting for an AI Engineer to join our IT team, where you'll support us in developing and implementing AI, Generative AI and Intelligent Automation solutions that improve … someone who will thrive within our recognition and empowerment culture. To be successful in this role, you'll have 5+ years' experience in software engineering, automation or AI development, together with proven experience delivering enterprise AI or Generative AI solutions and building production solutions using ChatGPT/OpenAI APIs. ...

GLASGOW, LANARKSHIRE, United Kingdom Job Information Job Identification 210783041 Job Category Data Engineering Business Unit Corporate Sector Posting Date 08/20/2026, 03:18 PM Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB Job Schedule Full time Job Shift Day Job Description Join … review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and applied experience Experience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...

platform services and clean APIs for modern AI workloads, we want to talk to you. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production‐grade AI capabilities with the agility … startup. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise‐ready software. Key responsibilities Build scalable, fault‐tolerant cloud‐native services on Microsoft Azure, ensuring high performance ...

platform services and clean APIs for modern AI workloads, we want to talk to you. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility … startup. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key responsibilities Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance ...

wealth management technology. We are looking for a Senior Java Software Engineer who is serious about AI-assisted development, curious about how software engineering is changing, and ready to do real work on systems that matter. You will not be handed a ticket queue. You will be expected … full delivery lifecycle: design discussions, development, testing, deployment, and iteration Apply AI-Native Development Practices Use AI-assisted development tools, including code generation, prompt engineering, and agentic frameworks, as a standard part of your daily workflow from day one Learn and apply the team’s standards for building ...

control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired Qualifications, Capabilities, and Skills: Formal training or certification on software engineering conceptsExperience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g. … CMBS, RMBS, ABS)Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflowsExperience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programsStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python ...

Experience designing and delivering scalable, cloud‐native applications Exposure to Gen‐AI concepts including: Large Language Models (LLMs) and transformer‐based systems Prompt engineering and basic agent workflows Vector search and retrieval concepts Familiarity with Gen‐AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration ...

Experience designing and delivering **scalable, cloud‐native applications*** Exposure to Gen‐AI concepts including: + Large Language Models (LLMs) and transformer‐based systems + Prompt engineering and basic agent workflows + Vector search and retrieval concepts* Familiarity with Gen‐AI frameworks/tools such as **LangChain, LangGraph, MLflow ...