13 of 13 Remote/Hybrid Prompt Engineering Jobs in the UK excluding London

Python development, AWS CDK, and modern development practices. You will play a key role in delivering data-driven APIs and leveraging AI/prompt engineering to enhance our capabilities. Key Responsibilities: Design, develop, and deliver high-quality software solutions on AWS infrastructure Build and maintain APIs to facilitate … Collaborate with stakeholders across all levels to understand requirements and communicate effectively Lead development activities, prioritize tasks, and meet project deadlines Incorporate AI and prompt engineering techniques to optimize development processes Follow Agile methodologies aligned with GDS principles Manage source control using systems such as Git Essential Criteria ...

support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops and ongoing consultancy-style support aligned to apprenticeship standards. Role … them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams ...

IPaas/Digital orchestration platforms. I.e.- Azure logic apps, Conscia, Boomi, Celigo etc. Experience working with low code/no code platforms Experience with prompt engineering- experience designing and optimising prompts Experience using service bus and message queues Experience supporting and troubleshooting build pipelines Ability to take ownership … project work and take initiative where required Experience in monitoring & observing application errors and performance Experience working on accessibility Experience with prompt engineering Experience working with databases - SQL Server, Cosmos DB Benefits When you join Renishaw, we're committing to your future career. That's because we believe ...

from concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership … ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python ...

determine feasibility and cost–benefit. Skills and experience you need as an AI Engineer: Proven experience applying, researching and developing NLP models, including prompt engineering and fine-tuning LLMs in a commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. ...

DoingTechnical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend … implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills Youll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation ...

Nice to Have Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy: Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant. Cloud AI platform experience — GCP, Azure, Databricks ...

design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery. Key responsibilities include: Leading the design and delivery of robust, scalable software using modern engineering … performance optimisation Mentoring and developing engineers, fostering a high-performance culture Managing risk, governance and controls within a regulated environment Contributing to broader engineering strategy and innovation communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services ...

founder to shape the technical vision and execution of a high-growth startup backed by a larger, established group. Youll lead a talented engineering squad, drive architectural decisions, and deliver scalable backend systems that support thousands of users-all while influencing the strategic direction of the product. This … environment. The RoleTechnical Strategy & Leadership Work alongside the founder to define and evolve the technical roadmap Lead architectural design and critical technology decisions Champion engineering best practices, code quality, and technical excellence Mentor, coach, and grow engineers at all levels Foster a culture of ownership, collaboration, and innovation Backend ...

Generative AI solutions within a large, complex enterprise environment. This role sits at the centre of the AI-driven technology function, shaping engineering strategy, building scalable AI applications and integrating LLM-powered capabilities into systems used by thousands of colleagues every day. This position is perfect for an engineer … Responsibilities Lead the design and delivery of AI, ML and Generative AI applications across major digital transformation initiatives. Translate business and technical objectives into engineering roadmaps and implementation strategies. Develop scalable AI systems using Python, LLMs and cloud-native services Evaluate and optimise Large Language Models, prompts and model ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key Responsibilities Problem Definition & Discovery (Supported Ownership) Support discovery … first-pass requirements Identify gaps, edge cases, and assumptions Ensure final requirements are: Understandable Testable Reviewed and approved by accountable stakeholders AI-Assisted Analysis & Prompt Contribution Contribute to the creation and refinement of analysis and discovery prompts Follow established prompt standards to ensure: Reusability Auditability Safe handling ...

Python and AWS CDK Desirable Skills: Git or other source control experience Agile development experience aligned with GDS principles Experience with AI/Prompt engineering Familiarity with scientific data formats (NetCDF, BUFR, GRIB ...