51 to 75 of 87 Prompt Engineering Jobs in the UK

LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed … ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI More ❯

LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed … ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI More ❯

LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed … ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯

consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident More ❯

at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 3+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology … into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based More ❯

offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles's latest frameworks. You'll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless. You should be motivated by curiosity and initiative-eager to take ownership … with Kotlin and/or Compose Strong experience shipping and maintaining production apps in the Play Store Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering AIliteracy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have More ❯

Lead user enablement including onboarding, documentation, and training Track Microsoft's Copilot roadmap and apply emerging capabilities Qualifications and Experience Essential Bachelor's degree in Computer Science, Information Systems, Engineering, or similar Proven experience delivering Microsoft 365 solutions with a focus on Copilot Strong understanding of Microsoft Copilot ecosystem including SharePoint, Teams, and Security Copilot Hands-on experience with … Logic Apps, and API Management Expertise in enterprise architecture and secure solution design Technical Skills Microsoft Graph API REST APIs, OAuth, and JSON Microsoft 365 compliance and identity management Prompt engineering and grounding techniques Custom Copilot development via Copilot Studio Desirable Certifications Microsoft Certified Azure Solutions Architect Expert Microsoft 365 Certified Enterprise Administrator Expert TOGAF or equivalent About More ❯

stakeholders. What we're looking for Essential: Strong experience with Gen AI, NLP, and machine learning. Proven ability to create, train, and fine-tune LLMs/SLMs. Skills in prompt engineering and RAG (retrieval-augmented generation). Solid background in Python, Java, and database technologies (SQL/NoSQL). Experience in crawling/web scraping and API development. More ❯

infrastructure. - Experience implementing and optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning - Serverless development experience including complex integrations with Amazon Lex, Lambda More ❯

ability to drive customer growth, retention, and expansion through data-driven insights Technical & Analytical Competencies: Experience in AI/ML space, particularly conversational AI or automation platforms Hands-on prompt engineering experience with ability to optimize AI responses, train conversation flows, and refine model outputs Experience analyzing usage patterns, competitive landscapes, and translating data into actionable strategies Comfort More ❯

Role: AI Automation Associate (Prompt & Workflow Builder) Location: Remote-first (UK preferred) Type: Full-time, Permanent Salary: £30,000 – £60,000 + equity Reports to: CEO/CTO Why We’re Hiring We’re a startup building tools, running a consultancy, and scaling SaaS – all underpinned by people and process. But we think AI can supercharge what we do … today and help automate or optimise them What We’re Looking For We’re not chasing degrees or big-brand CVs. You might be: A self-taught AI nerd, prompt engineering hobbyist, or automation tinkerer Someone who’s used GPT-4, Midjourney, Claude, or similar and built actual use cases Familiar with no-code tools or scripting (even More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

design architecture. Expertise in designing and managing AI lab environments using Infrastructure as Code (IaC), containerisation, and secure networking practises. Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment. Proficiency in building agentic workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable More ❯

of AI infrastructure. This isnt just about clean code or strong delivery - its about ownership, product intuition, and building for scale. Youll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, and execution. What Youll Be Doing: Building and evolving APIs that serve as the backbone for internal systems and customer … systems Solid understanding of infrastructure-as-code and cloud orchestration (AWS, Terraform, Docker) Familiarity with queue management, observability tooling, and shipping in fast-paced environments Awareness of GenAI and prompt engineering, or a keen interest to develop expertise in this area A self-starter attitude, with a strong sense of product ownership and a passion for solving end … user challenges This is a unique opportunity to work on real-world applications of cutting-edge AI, contributing to a platform where engineering excellence and product thinking go hand-in-hand. If you're looking for a role with tangible impact and huge technical scope, wed love to hear from you. Reach out today to start the conversation. More ❯

systems involved in code generation or code assistance, translating complex technical concepts and workflows into AI compatible formats such as structured prompts, templates or schema definitions. You'll design prompt engineering strategies to optimise AI outputs in software development tasks, assist in the creation of training data for AI tools and help to evaluate the effectiveness of AI More ❯

This isn’t just about clean code or strong delivery - it’s about ownership, product intuition, and building for scale. You’ll be part of a lean, high-calibre engineering function where every member contributes to planning, testing, analysis, and execution. What You’ll Be Doing: Building and evolving APIs that serve as the backbone for internal systems and … systems Solid understanding of infrastructure-as-code and cloud orchestration (AWS, Terraform, Docker) Familiarity with queue management, observability tooling, and shipping in fast-paced environments Awareness of GenAI and prompt engineering, or a keen interest to develop expertise in this area A self-starter attitude, with a strong sense of product ownership and a passion for solving end … user challenges This is a unique opportunity to work on real-world applications of cutting-edge AI, contributing to a platform where engineering excellence and product thinking go hand-in-hand. If you're looking for a role with tangible impact and huge technical scope, we’d love to hear from you. Reach out today to start the conversation. More ❯