126 to 150 of 187 Prompt Engineering Jobs in England

augmented generation (RAG)AI reasoning and workflow orchestration Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search … chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI-powered solutions. AI Evaluation & Experimentation Develop and apply evaluation frameworks for search and AI systems, including:IR metrics ...

development of AI-enabled solutions and establish best practice for the safe and effective deployment of AI agents. This is not a traditional software engineering position. We're looking for someone with practical experience building and implementing AI solutions who can bridge the gap between business and technology teams. … assistants, agent frameworks or similar platforms. Exposure to cloud technologies, APIs and solution integrations. Knowledge of Python, scripting or other programming languages. Understanding of prompt engineering, agent orchestration, RAG or AI evaluation techniques. Experience supporting AI capability building, training or adoption initiatives. Knowledge of AI governance, risk management ...

commercial teams Senior level (5+ years of experience) Desirable Experience Previous experience within aviation, airlines or travel technology environments Experience with AI automation tooling, prompt engineering and LLM implementation Exposure to MLOps and production AI environments Understanding of responsible AI, governance and compliance considerations Experience contributing to technical ...

Azure, GCP, Databricks or similar technologies ·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments ·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns ·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies ·Understanding of MLOps ...

Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps ...

Strong SQL Python basics Tableau dashboard development Data quality and governance understanding Requirements gathering from business users AI & Automation Experience with Generative AI tools Prompt engineering Basic understanding of LLMs and RAG (Retrieval Augmented Generation) AI use case identification, assessment and delivering from concept through to implementation ...

data integrity • Collaborate across teams – Partner with product managers, analysts, and other engineers to understand requirements and deliver solutions that meet business needs • Apply engineering best practices – Follow SOLID principles and design patterns, participate in code reviews, solve technical challenges, and contribute to code quality • Support and improve systems … technology – Learn and experiment with emerging technologies, share knowledge with the team, and contribute to continuous improvement What You Need to Have: • Full-Stack Engineering Experience – 7+ years of hands-on experience building enterprise applications and modern web technologies in production environments • Software Engineering Fundamentals – Strong understanding ...

Lead AI Engineer Hybrid, Liverpool We're working with a business investing heavily in AI and building a dedicated engineering function to deliver production AI solutions across the organisation. This is a rare opportunity to join at an early stage and help shape the architecture, tooling and engineering … scalable products. What you’ll be doing Build and deploy production AI solutions using Python and modern AI frameworks Develop LLM applications using RAG, prompt engineering and agentic workflows Shape AI architecture, tooling and engineering standards Work across Azure, cloud infrastructure and deployment pipelines Integrate AI solutions ...

library of reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills Experience in a deployment or implementation-focused technical role Familiarity with RPA tools Product management or solutions engineering background Claude Code, Claude Cowork, or Claude Skills Experience 35 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting ...

library of reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills Experience in a deployment or implementation-focused technical role Familiarity with RPA tools Product management or solutions engineering background Claude Code, Claude Cowork, or Claude Skills Experience 35 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting ...

library of reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills • Experience in a deployment or implementation-focused technical role • Familiarity with RPA tools • Product management or solutions engineering background • Claude Code, Claude Cowork, or Claude Skills Experience • 3–5 years in a role blending business problem-solving with hands-on technical building — solutions engineering, technical consulting ...

technologies create measurable business value. You will join a collaborative environment where AI is a strategic growth area, working alongside experienced technology, data and engineering professionals to help clients realise the benefits of Generative AI and advanced analytics. The Role You will be responsible for developing and growing relationships … Generative AI, helping organisations understand where AI can deliver measurable operational and commercial value. Oversee the successful delivery of production AI solutions, guiding architecture, engineering and delivery teams while maintaining accountability for outcomes. Shape AI strategies and solution approaches across the modern AI stack, including Large Language Models (LLMs ...

strategy consulting firm, internal strategy, investment banking, private equity Deep knowledge and understanding of AI&ML preferred (esp. how to use GenAI tools/Prompt Engineering, retrieval-augmented generation (RAG) and agentic workflows) BSc or MSc degree in relevant field Outstanding ability to analyze problems and apply quantitative ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...

internal products Develop AI agents and workflow automation to improve operational efficiency Integrate AI solutions into existing systems and business platforms Contribute to data engineering pipelines and Azure based infrastructure Own multiple concurrent projects with autonomy and accountability Partner with stakeholders to scope use cases and shape the delivery … business Your Skills and Experience Strong commercial experience delivering production AI applications in a cloud environment, ideally Azure Hands on expertise with LLMs, prompt engineering, and agent based workflows Solid grounding in data engineering including ETL, orchestration, and working with large datasets Experience building scalable, reliable systems ...

deputizing for the EPO where appropriate. The role collaborates closely with the locally based Head of Operations, and the Heads of Product and Engineering based in Pune. Mission Drive end‐to‐end platform thinking across Product, Engineering, and Operations. Deliver transformative automation, insights, and process improvements using agentic … client impacts. Stand up KPI frameworks, dashboards, and narrative packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering ...

planning within the technology department. Profile hands-on Java development experience; expert-level command of modern Java (17+) is non-negotiable. 2+ years leading engineering teams or operating as a tech lead/lead engineer with ownership of design and delivery outcomes. Deep Spring Boot expertise: REST APIs, Spring … DevOps) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings ...

with AI/ML frameworks (e.g. LangChain, OpenAI API, Hugging Face, TensorFlow, PyTorch) * Comfortable writing production-ready code - Python particularly valued * Understanding of LLMs, prompt engineering, RAG pipelines or similar AI architectures * Ability to communicate technical ideas clearly to non-technical stakeholders * A proactive mindset - someone who spots ...

build tools, Git version control, Jira/Confluence, SQL databases, and Data Warehouses. AI Acumen: A solid understanding of the broader AI ecosystem, including prompt engineering and LLMs. Industry Knowledge: Experience in Financial Services or Insurance is highly desirable, but we welcome strong technologists from all sectors ...

enabled features and services that support the product strategy and business objectives. Take AI ideas from discovery through to working software, using practical engineering judgement to balance value, complexity, cost, risk and maintainability. Build solutions using large language models, machine learning and supporting technologies to improve throughput, automate knowledge … enhance product intelligence. Ensure the solutions you build are secure, reliable, supportable and suitable for real-world production use. Key Skills Strong software engineering experience, with the ability to design, build, test and deliver production-quality services. Hands-on experience building solutions using LLMs, machine learning or applied ...

business teams Integrate Databricks/Unity Catalog as data foundation for AI features Write clear specifications before building; ensure proper test coverage Support prompt engineering, evaluation, and iterative improvement of deployed features Collaborate to displace outsourced delivery with in-house AI capability WHO YOU ARE Essential: Hands … production experience with Claude, OpenAI, or similar LLM APIs Strong Python engineering (API design, data pipelines, cloud-native development) Azure experience preferred Security and governance awareness (prompt injection, data boundaries, RBAC) End-to-end ownership mindset Desirable: Agentic frameworks and tool use experience MCP or equivalent connector patterns ...

translate complex analytics into business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor's or Master's degree … Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field Professional certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirable Additional certifications in risk analytics, operational risk, or model risk management are advantageous Proven years of experience in data science ...

considered. We welcome applications from the Armed Forces. Person Specification Qualifications Essential Degree or equivalent experience in a relevant field (informatics, digital health, engineering, computer science, data/automation) Experience in leading and managing improvement projects in NHS research or social care setting Evidence of continuing professional development … automation/AI (e.g. Microsoft 365 Copilot, Power Platform, data integration, prompt/agent design) Experience in leading and managing improvement projects in NHS research or social care setting Desirable Postgraduate degree or experience Project management qualification or experience Microsoft certifications (Power Platform, Azure, Security/Compliance), Lean/ ...

business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development … Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships ...