151 to 175 of 187 Prompt Engineering Jobs in England

Data | Engineering & Delivery Location: UK (Hybrid) Salary: Up to £115,000 + Bonus + Benefits Overview An exciting opportunity has arisen for an experienced Associate Director to join a growing AI and Data team within a well-established consulting environment. This role combines business development, client engagement, strategic advisory … with executive and senior leadership stakeholders. AI & Technology Knowledge Strong understanding of modern AI technologies and concepts, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases AI Solution Architecture MLOps Principles AI Governance and Risk Considerations Candidates are not expected ...

team initiatives, and offering development Desirable Experience Experience applying Lean Six Sigma concepts, frameworks, and best practices, ideally in a process transformation or re-engineering environment Experience operating as an LSS Black Belt, preferably with certification Strong knowledge of IT operations, observability, and monitoring practices and tools Awareness … data handling and AI or ML model evaluation Familiarity with supervised learning, unsupervised learning, deep learning, and other advanced ML techniques Knowledge of LLMOps, prompt engineering, RAG, model fine-tuning, and semantic evaluation Awareness of AI ethics, safety, guardrails, compliance, and optimisation considerations Experience with DevOps practices including ...

Required qualifications, capabilities and skills Experience leading teams to deliver production machine learning solutions Proficiency in Python and SQL and familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn Solid intuitive … deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques and state‐of‐the‐art LLM architectures EEO Statement We are an equal opportunity employer and place a high value on diversity ...

this is the kind of scale and impact you're looking for, we'd love to hear from you.What You’ll do:Own the engineering bar. Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last – not just … Need:A collaborative team player who lifts those around them (We believe in: One team. One fight!)8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in productionSolid understanding of distributed systems, scalability, RESTful patterns ...

Good understanding of AI technologies such as Generative AI, Large Language Models (LLMs), workflow automation or intelligent document processing. Experience working closely with software engineering, AI or data teams. Exposure to prompt engineering, AI tools or automation platforms would be highly advantageous. This role is on-site ...

shaping and delivering enterprise-scale AI solutions, helping clients move from strategy and proof of concept through to deployment. Working alongside business leaders, engineering teams and technical stakeholders, you will define AI architectures, establish best practices and ensure successful implementation of modern AI platforms and services. This … Experience Proven experience designing and delivering enterprise AI, Machine Learning or Advanced Analytics solutions Strong understanding of modern AI technologies including Generative AI, LLMs, Prompt Engineering, RAG and Vector Databases Experience architecting production-grade AI platforms and applications Strong knowledge of at least one major cloud platform (Azure ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

translating AI capabilities into measurable business outcomes, cost efficiencies and revenue opportunities. Direct the delivery of complex AI programmes, providing oversight of solution architecture, engineering approaches and implementation strategies. Ensure secure, responsible and compliant deployment of AI technologies, including governance, risk management and ethical AI considerations. Build, mentor … maintaining strong commercial performance and delivery quality. Required Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. ...

translating AI capabilities into measurable business outcomes, cost efficiencies and revenue opportunities. Direct the delivery of complex AI programmes, providing oversight of solution architecture, engineering approaches and implementation strategies. Ensure secure, responsible and compliant deployment of AI technologies, including governance, risk management and ethical AI considerations. Build, mentor … maintaining strong commercial performance and delivery quality. Required Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. ...

Desirable: Experience of source control systems such a git Experience of AGILE approach to software development following GDS principles Experience of using AI/Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB In this role you will: Develop software to meet ...

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 ...

SeniorAIEngineerManchester Agrowingtechnology-ledbusinessisseekinga SeniorAIEngineer toplayapivotalroleinshapinganddeliveringitsAIstrategy.Thisisasenior-level,hands-onpositionresponsiblefordesigning,building,anddeployingenterprise-gradeAIsolutionsthatdrivemeasurablebusinessvalueacrosstheorganisation. WorkingcloselywithIT,Data,Engineering,andseniorbusinessstakeholders,youwillleadthedevelopmentandimplementationofadvancedAIsolutions,leveragingLargeLanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),AIAgents,MachineLearning,andAzureAIservices.Youwillprovidetechnicalleadership,establishbestpractices,andhelpbuildtheorganisationslong-termAIcapability. ThebusinessisinvestingheavilyinAIandislookingforsomeonewhocancombinedeeptechnicalexpertisewithstrategicthinking,takingsolutionsfromconceptthroughtoproductiondeploymentandadoption. TheidealcandidatewillhaveastrongfoundationinAIEngineeringcombinedwitharobustDataSciencebackground,enablingthemtodevelop,evaluate,andoptimiseAIsolutionsthatdelivermeasurablebusinessoutcomes. ThisrolewouldsuitanexperiencedAIprofessionalwhoenjoyssolvingcomplexbusinesschallenges,mentoringothers,influencingtechnicaldirection,anddeliveringinnovativeAIsolutionsatscale. RolePurpose AsaSeniorAIEngineer,youwillleadthedesign,development,deployment,andoptimisationofenterpriseAIsolutions,ensuringtheyaresecure,scalable,maintainable,andalignedtobusinessobjectives. YouwillactasasubjectmatterexpertforAItechnologies,helpingtodefinearchitecture ...

fast‐moving revenue‐generating pre‐seed startup already running frontier AI models in production. You’ll work directly with the founders, own AI engineering end‐to‐end, and have a major impact across product quality, infrastructure efficiency and technical direction. What we’re looking for 5+ years’ experience within … Applied AI/ML/MLOps Strong Python and production AI systems experience Experience with LLMs, Generative AI, prompt engineering or agentic workflows Exposure to AI infrastructure, deployment, evals or optimisation Startup mindset with a hands‐on, product‐focused approach Computer vision/video/VFX/rendering ...

teams to align architecture with business objectives. Provide technical leadership and governance across AI work streams and delivery teams Drive best practice in AI engineering, model management, and data science operations Evaluate and select appropriate AI frameworks, tools, and cloud services to meet enterprise requirements Support the integration … systems Skills and Experience Proven experience delivering AI solutions at enterprise scale in production environments Strong background in Generative AI — including LLMs, prompt engineering, and model fine-tuning Hands-on experience with Hugging Face (model hub, Transformers, Inference API) Experience with AWS AI services (SageMaker, Bedrock, Rekognition, Comprehend ...

exceptional private equity investment business that has recently made a major investment into AI and technology, including hiring a Global Head of AI Engineering to build and lead the function. As part of this growth, they are looking to hire both a Senior AI Engineer and a Lead … influence architecture, tooling, technical direction, use cases and long-term strategy from day one. The environment itself is highly technical, intellectually strong and engineering-led, with significant buy-in from leadership and investment into modern tooling and infrastructure. The Role Depending on level, responsibilities are likely to include: Designing ...

processes. Key Responsibilities Support the design and testing of AI agents and chatbot workflows. Build integrations between AI tools, APIs and business systems. Create prompt flows, knowledge bases and response logic. Test agent outputs for quality, reliability and safety. Document workflows, technical decisions and testing results. Work with stakeholders … cases. About You Interest in AI agents, automation and software development. Familiarity with Python, JavaScript, APIs or workflow tools is beneficial. Awareness of LLMs, prompt engineering and retrieval-based AI systems. Strong analytical and problem-solving skills. Ability to learn quickly and work carefully with structured processes. ...

migration to AWS Bedrock. Utilise your strong C# background to ensure AI agents integrate seamlessly with core enterprise systems, APIs, and data pipelines. Refine prompt engineering, agent autonomy, and guardrails to ensure high performance, security, and accuracy. Proven experience building Agentic AI systems (autonomous agents, multi-agent frameworks ...

stakeholders, architects, and technical peers to shape technical strategy, solution design, and Copilot and AI adoption roadmaps. Strong knowledge of AI concepts including LLMs, prompt engineering and responsible Copilot practices. Hands on experience designing and delivering solutions using Power Apps, Automate, Power Bi to support Copilot customisation, automation ...

Agentic AI or AI-powered applications. Microsoft Copilot Studio. Azure OpenAI. Google Gemini. Generative AI and Large Language Models (LLMs). AI agent development. Prompt engineering. AI governance and responsible AI principles. Enterprise AI platform support or administration. Experience with similar enterprise AI platforms or agentic AI technologies will ...

Agentic AI or AI-powered applications. Microsoft Copilot Studio. Azure OpenAI. Google Gemini. Generative AI and Large Language Models (LLMs). AI agent development. Prompt engineering. AI governance and responsible AI principles. Enterprise AI platform support or administration. Experience with similar enterprise AI platforms or agentic AI technologies will ...

vector search, indexing strategies Document Intelligence - OCR, form extraction, document processing pipelines Content Understanding - classification, summarisation, enrichment models Azure AI Foundry - model orchestration, evaluation, prompt engineering, governance Solution Design Authority Provide architectural direction to engineering teams, ensuring that design decisions are technically sound, cost-efficient, and aligned … with the target architecture. Technical Leadership & Mentoring Support engineering teams with architectural guidance, design patterns, and best practices. Act as the escalation point for complex technical decisions. Stakeholder Collaboration Work closely with product owners, business stakeholders, data teams, and delivery leads to translate requirements into scalable, secure, and maintainable ...

design and delivery of AI solutions across a range of projects. You will act as the go to person for AI from an engineering perspective and support teams in how they build with this technology. You will work with engineers and external partners to deliver scalable solutions. You will … roadmap. What they are looking for They are looking for someone who has operated at Principal or Lead level in an AI focused engineering environment. You will need strong experience designing and delivering AI or machine learning solutions. Hands on experience with LLMs and prompt engineering ...

projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Artificial Intelligence Fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering AI Productivity Tools Workflow Automation Business Process Automation AI Agents and Autonomous Workflows No-Code and Low-Code Automation Platforms API Integrations … realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios Analysing existing business processes ...

/CD Specialist with hands-on experience to automate, optimize, and manage our client core infrastructure deployment workflows. This role focuses on accelerating engineering velocity while maintaining strict operational resilience. You will serve as the team's automation champion, driving modern AI-assisted coding practices and ensuring seamless application … Responsibilities Infrastructure Automation: Design, review, and maintain robust Ansible playbooks and Terraform configurations to automate routine server provisioning, lifecycle workflows, and configuration management. Pipeline Engineering: Build and optimize end-to-end CI/CD pipelines (GitHub Actions, GitLab CI/CD) to ensure high availability, zero-downtime deployments ...

Build prototypes for: Document review and summarisation Identifying inconsistencies and outdated content Drafting and redrafting content Metadata extraction and classification Develop repeatable approaches (e.g. prompt frameworks) Provide a clear implementation roadmap, including governance and risks Deliver final outputs, recommendations, and reusable templates Skills/Experience: Strong experience applying … unstructured data environments Hands-on expertise with M365 Copilot, Azure OpenAI, or similar tools Ability to design and build light-weight prototypes, including prompt engineering, workflow automation, and document-processing pipelines Experience working with sensitive information and responsible AI governance Strong analytical skills, including ability to identify patterns ...