26 to 50 of 51 Prompt Engineering Jobs in the UK excluding London

sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity More ❯

to contribute to impactful service delivery innovations. Key Responsibilities: Design and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high … experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers More ❯

AI solutions to solve complex business challenges.IR 35 Status - Inside Key Responsibilities Design, build, and deploy Python-based AI applications. Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. Develop LLM-assisted frameworks and contribute to scalable AI architectures. Write clean, maintainable, and well-documented code. Implement testing pipelines and evaluation frameworks. … with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best More ❯

advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest … LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and More ❯

advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest … LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

process automation and AI transformation Strong communicator and advisor – able to influence non-technical stakeholders Experience delivering impactful AI projects across business functions Exposure to AI ethics, governance, and prompt engineering is a plus Background in SaaS and/or supply chain-related industries preferred Why join? This is a unique opportunity to define and lead AI strategy More ❯

customer goals and industry best practices. Translate technical capabilities—particularly around Generative AI and LLMs and Uniphore’s Platform—into compelling business outcomes. Partner closely with Sales, Product, and Engineering teams to ensure scalable, client-centric solutions. Continuously monitor AI advancements and translate insights into strategic recommendations. Support customer enablement through workshops, documentation, and presentations. Required Skills and Qualifications … LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with enterprise-grade AI deployments, including model evaluation, customization, and integration. Domain & Industry Acumen Ability to contextualize solutions within specific industries (e.g., telecom, BFSI, healthcare). Experience More ❯

customer goals and industry best practices. Translate technical capabilities—particularly around Generative AI and LLMs and Uniphore’s Platform—into compelling business outcomes. Partner closely with Sales, Product, and Engineering teams to ensure scalable, client-centric solutions. Continuously monitor AI advancements and translate insights into strategic recommendations. Support customer enablement through workshops, documentation, and presentations. Required Skills and Qualifications … LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with enterprise-grade AI deployments, including model evaluation, customization, and integration. Domain & Industry Acumen Ability to contextualize solutions within specific industries (e.g., telecom, BFSI, healthcare). Experience More ❯

customer goals and industry best practices. Translate technical capabilities—particularly around Generative AI and LLMs and Uniphore’s Platform—into compelling business outcomes. Partner closely with Sales, Product, and Engineering teams to ensure scalable, client-centric solutions. Continuously monitor AI advancements and translate insights into strategic recommendations. Support customer enablement through workshops, documentation, and presentations. Required Skills and Qualifications … LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with enterprise-grade AI deployments, including model evaluation, customization, and integration. Domain & Industry Acumen Ability to contextualize solutions within specific industries (e.g., telecom, BFSI, healthcare). Experience More ❯

track record in data science and machine learning , with practical experience in LLMs and generative AI . Knowledge of Claude AI or equivalent LLM frameworks, including fine-tuning and prompt engineering. Proficiency in Python and modern ML frameworks (e.g., PyTorch, Hugging Face Transformers). Experience designing and evaluating production-ready AI models and pipelines. Exposure to the Azure Cloud … Platform and related data engineering tools. Desirable: Prior experience in a startup or scale-up environment , demonstrating adaptability and a hands-on approach. Why Join? Competitive salary between £80,000 £90,000 DOE . Flexible hybrid working model with fortnightly office presence . Work with cutting-edge AI technologies at the forefront of enterprise adoption. More ❯