101 to 125 of 191 Prompt Engineering Jobs in the UK

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 ...

build automation workflows using low-code platforms including n8n and Microsoft Power Platform Develop and deploy AI-powered applications leveraging large language models, including prompt engineering, evaluation, and production reliability Maintain and continuously improve existing automations as the firm grows Stay current with developments in AI tooling … responsible AI use across the firm Skills and Experience Technical Hands-on experience working with large language models and building AI-powered applications, including prompt engineering and evaluation Experience with low-code workflow automation platforms, ideally n8n and/or Microsoft Power Platform/Power Automate Proficiency building ...

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 ...

collaboration platforms Desirable Experience delivering apprenticeships or formal training programmes Familiarity with project-based learning, portfolios, and workplace coaching Knowledge of emerging AI technologies, prompt engineering, and automation tools Understanding of Ofsted/ESFA expectations for apprenticeship delivery Relevant certifications (e.g. BCS AI Foundation, Microsoft AI, Google … cases. Sessions build confidence, digital capability, and responsible practice in applied AI. Commercial Awareness: Demonstrates a strong ability to connect AI concepts—such as prompt engineering, automation, data literacy and AI‐supported decision making—to real‐world business needs, organisational impact and commercial value. Innovation & Improvement: Actively enhances ...

Generative AI Business Analyst 12 months Barrow in Furness - hybrid Active SC clearance required Inside IR35 - Umbrella Essential skills and experience Prompt Engineering GenAI Assistant Management Business & Process Analysis Documentation and Value Orchestration Knowledge Transfer/Training Client Teams Uses Watsonx tooling (RHOS + Fusion tech) deployed … integration interlock, and architecture coordination with the client Required Skills: Must be UK National with 5+ years UK residency Business & Process Analysis Value Orchestration Prompt Engineering Knowledge Transfer Documentation GenAI solution development exposure (implicit in responsibilities) Nice to Have Skills: Celonis GenAI experience Watsonx ...

impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production‐ready AI and Generative … producing technical designs, breaking down work, and delivering iteratively. Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation. Contribute to internal enablement and capability‐building activities across the organisation. Partner with Security, Legal, and Data teams to define ...

Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‐on team lead who builds and ships customer‐facing, production‐grade AI, solving complex problems, shaping long‐term strategy …/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance ...

Tool‐using and reasoning agents Human‐in‐the‐loop workflows Orchestration and memory patterns Lead solution design using Generative AI and LLM ecosystems , including: Prompt engineering and prompt pipelines RAG (Retrieval‐Augmented Generation) architectures Model fine‐tuning and evaluation strategies Provide technical oversight and mentoring to engineering … patterns RAG pipelines, vector databases, and embeddings Experience across major AI ecosystems (e.g., cloud AI platforms, open‐source LLM tooling) Solid understanding of data engineering, APIs, and enterprise integration patterns Consulting & Leadership Skills Strong client‐facing presence , capable of leading executive‐level discussions Ability to translate complex AI concepts ...

consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across … observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone , FAISS , Azure Cognitive Search ) and prompt strategies; optimize for latency/cost/accuracy. Architect agentic AI components (multi-agent workflows, gateways, registries, protocol interoperability) for complex enterprise use‐cases; establish ...

bottlenecks. Develop internal tools and copilots using ChatGPT Enterprise to enhance productivity, improve reporting, and enable self-service across teams. Implement retrieval-based workflows, prompt-engineering best practices, and automated decision trees that support management processes. Build integrations with existing systems (HR systems, CRMs, workflow tools, document repositories … . Key Skills & Experience Strong background in AI Engineering , automation engineering, ML/LLM application development, or intelligent workflow design. Expert hands-on experience with ChatGPT Enterprise (mandatory). Ability to design prompts, guardrails, and workflows that ensure reliable and repeatable outcomes. Experience automating human-centric processes such ...

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 ...

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior/Lead Reporting to: Head of AI/Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‐enabled application … platform modernisation (“ACP‐isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation , supporting acquisitions, carve‐outs, and post‐merger integration through scalable, production‐grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across ...

Engineer, you will design, build, and deploy production‐grade LLM‐powered systems . This role sits at the intersection of software engineering , AI implementation , and agentic orchestration . You will work on: Multi‐agent architectures Intelligent tool and API integrations RAG pipelines and vector‐based retrieval Evaluation frameworks … loops to improve system behaviour over time Craft effective prompts and optimise latency, cost, and output quality across multiple model providers Collaborate closely with engineering, product, and data teams to build enterprise‐ready AI solutions Required Skills & Experience Hands‐on experience building applications using LLM APIs Deep understanding ...

design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business … libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). ...

design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business … libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). ...

scalable AI applications that integrate into modern cloud and enterprise platforms. The Role You will develop end-to-end AI solutions , combining modern software engineering with advanced machine learning and generative AI capabilities. Key Responsibilities Build and deploy full-stack AI applications including APIs, services, and user-facing interfaces. … cloud environments . Collaborate with data scientists, engineers and business stakeholders to deliver impactful AI products. Contribute to technical best practices, innovation, and AI engineering standards . Key Skills & Experience Strong Python development experience with AI/ML/NLP libraries (Hugging Face, spaCy, NLTK). Experience building applications ...

market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This … Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security. Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems. Strong MLOps/ ...

regulated healthtech Deployed LLMs or predictive models in production environments Familiarity with FHIR, HL7, or secure health data pipelines Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package Competitive salary + meaningful equity Work directly with and be mentored by two highly experienced ...

systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement … offerings What We’re Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using ...

operations, improve productivity and unlock new value through AI. Your Experience We're looking for a strong mix of AI architecture expertise, hands-on engineering knowledge and consulting capability. Key Skills & Experience Proven experience architecting Generative AI, Agentic AI, machine learning and automation solutions in enterprise environments. Strong expertise … such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge ...

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. ...

with LLM APIs and deep understanding of capabilities, limitations, and failure modes. Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering. Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions. Strong Python ...

deployment of cutting-edge generative AI solutions within the Microsoft ecosystem . This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure … Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices. Familiarity with Microsoft GenAI ...

tangible mark on how people develop their careers. This is a role for someone who's done real AI work inside a high-calibre engineering organisation and worked closely with product. What you'll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic … model in a notebook you've taken it to real users, measured it, and iterated. You've done this inside organisations that take engineering seriously. Whether that's a top-tier tech company, a defence/intelligence-grade AI startup, or a fast-scaling data-led business you know ...

such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation, and safety considerations. Strong Engineering Skills: Proficiency in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications. ...