226 to 250 of 465 Prompt Engineering Jobs in the UK

tooling, or extending platform logic. Collaborate closely with cross-functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. … broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or Phd in Computer Science or Data Science 4+ years of experience in engineering, with 2+ years in customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep ...

evaluation frameworks, fine-tune foundation models, build custom AI models and create automated feedback loops to continuously improve performance. You'll work closely with engineering and product teams to deliver robust AI solutions that solve real-world compliance challenges. The ideal candidate will have experience within AI research … engineering, including hands-on work with LLMs, model fine-tuning and agentic systems. Experience with computer vision, model evaluation frameworks and MLOps practices would be highly beneficial. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to work on genuinely impactful ...

data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. … working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool‐calling patterns. You’ll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine ...

across teams. You will design and own production‐grade implementations, from architecture through deployment and iteration. You will contribute to shared libraries such as prompt libraries and skills to improve discoverability and consistency for business users. You will help deliver measurable commercial impact while meeting firm resilience, controls … Payments domain. Knowledge of financial services with exposure to Payments and or Banking workflows. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Demonstrated experience partnering with non‐technical business stakeholders to scope, build, and ship technical solutions. Hands‐on experience writing ...

propose better patterns, and own the implementation quality of your workstream from first commit through production cutover. This role blends deep Amazon Connect platform engineering, generative AI development on Bedrock and Claude, and full-stack serverless work, with regular direct interaction with customer engineering teams. Responsibilities Your Assignment … validate it with turn-by-turn trace analysis Optimize inference cost and latency hands-on: model tier selection (Haiku vs. Sonnet vs. Opus), prompt caching, and token budgeting against containment-rate targets Diagnose AI agent performance using observability tooling (agent spans, and CloudWatch) that correlates contact flow logs, conversation ...

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 ...

across teams. You will design and own production-grade implementations, from architecture through deployment and iteration. You will contribute to shared libraries such as prompt libraries and skills to improve discoverability and consistency for business users. You will help deliver measurable commercial impact while meeting firm resilience, controls … Payments domain. Knowledge of financial services with exposure to Payments and or Banking workflows. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Demonstrated experience partnering with non-technical business stakeholders to scope, build, and ship technical solutions. Hands-on experience writing ...

scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual‐contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities Define and own the AI architecture vision for Protégé in PatentSight+, ensuring … patterns for AI‐driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess ...

capacity as the scope of AI at 9fin accelerates. Backed by over $170M in funding (Series C), we are scaling rapidly across product, engineering, and go-to-market. AI is not a bolt-on feature at 9fin; it is the core differentiator for the next phase of the company. … management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI productsWorking knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level)Experience shipping AI products where output quality is probabilistic ...

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 ...

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 ...

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 ...

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 ...

suitable for an MOD project. Strong production-grade Python software engineering. Hands-on GenAI, LLM and Agentic AI development. Strong LangGraph and RAG experience. Prompt engineering and structured LLM outputs. LLM/RAG evaluation, testing and hallucination mitigation. API and backend service integration. Automated testing, error handling … Foundry. Experience with Cosmos DB, Redis, Azure Monitor, Application Insights, Managed Identity and Key Vault. If you have this blend of deep AI engineering and secure delivery experience, we'd be keen to introduce you to our client. Please click here to find out more about our Key Information ...

suitable for an MOD project. Strong production-grade Python software engineering. Hands-on GenAI, LLM and Agentic AI development. Strong LangGraph and RAG experience. Prompt engineering and structured LLM outputs. LLM/RAG evaluation, testing and hallucination mitigation. API and backend service integration. Automated testing, error handling … Foundry. Experience with Cosmos DB, Redis, Azure Monitor, Application Insights, Managed Identity and Key Vault. If you have this blend of deep AI engineering and secure delivery experience, we'd be keen to introduce you to our client. Please click here to find out more about our Key Information ...

using Copilot Studio (Full), Power Platform, Dynamics 365, and Azure AI; establish security, governance, and performance baselines. Design and implement LLM-powered solutions (RAG, prompt engineering, grounded generation) with data governance, telemetry, and quality monitoring ( LLMOps ). Integrate Microsoft 365 and Dynamics 365 with enterprise systems and APIs … implementations; guide fit‐gap analysis and oversee deployments. Champion Copilot Agent security & governance (role‐based access, data loss controls, audit/observability). Mentor engineering teams and contribute to accelerators, reference architectures, and best practices; support RPA/Desktop Flows when required. Required Skills & Competencies Consulting Core Structured communication ...

their production SaaS platform, build the next generation of AI-powered capabilities, and work directly with the founders to shape both the product and engineering function as the business scales. The Role Own a production, multi-tenant SaaS platform used by enterprise customers. Design, build and scale full-stack … Next.js, Go, Python and AWS. Build AI-powered features, LLM integrations, agentic workflows and automation tools. Work directly with founders to influence product strategy, engineering direction and future hiring. Develop cloud-native systems using AWS Serverless, Lambda, PostgreSQL, Supabase and modern API architectures. Improve platform reliability, observability, security, performance ...

experience building voice agents, vision systems, or conversational AI serving real users Strong LLM foundations hands-on with modern foundation models including fine-tuning, prompt engineering, and evaluation methodologies Agent framework proficiency production experience with LangChain, LlamaIndex, or similar orchestration frameworks Voice AI platform experience built real-time … explain complex AI concepts clearly to both technical and business stakeholders Customer-facing experience in Solutions Architecture, Technical Account Management, or Pre-Sales Engineering is highly desirable Computer vision experience working with video processing, object detection, or vision-language models is a plus Model fine-tuning practical experience with ...

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. ...

Lead and scale a high-performing AI engineering team while driving end-to-end delivery of AI solutions from ideation through production deployment in the telecommunications sector. Responsibilities: Team Leadership & Development Build, manage, and mentor a team of AI Engineers and researchers through hiring, onboarding, and regular … Foster technical excellence by documenting and championing engineering best practices Conduct daily/weekly/monthly delivery ceremonies including stand-ups and sprint planning Strategic Delivery & Roadmap Ownership Co‐own and execute the AI roadmap alongside the AI Solution Architect Manage the AI engineering backlog, prioritizing initiatives ...

strategic cloud partners to build, integrate and support AI applications with confidence. Your audience is solution architects, field engineers, developers, technical consultants and sales engineering teams. You take a proven AI curriculum and make it work for cloud partner audiences: real deployment scenarios, partner-specific examples, live troubleshooting. … engineers by knowing your stuff. Experience & Education More than 5 years of professional experience in technical training, developer education, solution architecture, technical consulting, partner engineering, software development or cloud enablement. Experience delivering technical workshops, bootcamps, labs or train-the-trainer sessions for professional audiences. Strong practical fluency with generative ...

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 ...

seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions. In this role, you will go beyond traditional pre-sales; you will be pivotal in bridging the gap between process … advance and close enterprise opportunities by establishing deep technical credibility. This is a hands‐on, high‐impact role requiring pre‐sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high‐propensity ...