126 to 150 of 182 Prompt Engineering Jobs in England

scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring … patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess ...

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 ...

role in rollouts of frontier AI capabilities, ensuring smooth integration with existing IT infrastructure and processes. Accelerate adoption — Work shoulder-to-shoulder with client engineering and product teams to drive meaningful AI adoption, removing blockers and closing skill gaps in real time. Identify patterns and scale — Recognise repeatable deployment … applications with real business impact, ideally in enterprise environments. Practical experience working with large language models (ideally in a enterprise or start-up setting): prompt engineering, agent development, RAG pipelines, evaluation frameworks, workflows, and deployment. Technical Skills Solid programming proficiency (we are open to any experience but primary ...

manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance … based databases. Strong experience working within AWS environments and services. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. ...

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 ...

Architecture or AI Architecture experience. Strong understanding of Generative AI, Large Language Models (LLMs) and AI agent frameworks. Experience designing AI solutions using RAG, prompt engineering and knowledge-grounded architectures. Expertise in Microsoft AI technologies, including Microsoft 365 Copilot, Copilot Studio, Azure AI and/or Power Platform. ...

experimentation methodologies and monitoring Improving the quality, reliability, trust and performance of production AI systems Writing high-quality, production-ready Python Partnering with software engineering teams to deploy AI solutions at scale Providing technical leadership and mentoring across the wider team What We Are Looking For We are interested … practical experience with Retrieval-Augmented Generation (RAG) Experience with semantic search, vector search and/or hybrid retrieval Strong knowledge of LLM techniques including prompt engineering, grounding strategies and fine-tuning Experience developing appropriate evaluation and experimentation frameworks for AI systems Strong Python development skills Solid machine learning ...

that will support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of software engineering and agentic AI, developing intelligent applications that combine modern full-stack development with emerging AI technologies. You’ll join a forward-thinking engineering … building scalable software solutions using React, TypeScript and Node.js while integrating LLMs, AI agents and automation capabilities. You’ll work closely with product and engineering teams to translate ideas into production-ready solutions, helping shape the future direction of agentic AI within the business. What we’re looking ...

architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry, designed inside the build, not bolted … engineers during Transform engagements Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls What We're Looking For Essential Strong software engineering foundations, clean code, testing, CI/CD, production mindset, with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern languages Full ...

MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability ...

Work directly with government teams Prototype and test solutions Present findings and recommendations Contribute to strategic direction. What We Are Looking For Strong software engineering experience Experience building and evaluating AI systems Understanding of LLMs and agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem … communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied AI Engineer, AI Engineer, LLM Engineer, Harness Engineer, Prompt Engineer ...

workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science … building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content ...

interact directly with real-world software tools. Key Responsibilities Agentic Orchestration: Build stateful AI workflows using LangGraph or LangChain . API & Backend Engineering: Write robust Python backends enabling LLMs to execute Function Calling and tool-use. Context & Memory: Optimize prompt engineering, context windows, and retrieval systems … Apply today with your updated CV to set up an initial call! Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this ...

Product Lifecycle Management (PLM) processes, helping reduce manual effort, improve data quality, streamline documentation, and accelerate business workflows. You will work closely with product, engineering, operations, and business stakeholders to identify automation opportunities and translate business requirements into secure, scalable AI solutions. Key Responsibilities Design and develop AI agents … Microsoft 365 SharePoint Online Microsoft Dataverse Microsoft Teams integrations Workflow automation and business process orchestration Enterprise application and data-source integration Generative AI and prompt engineering Agent-based AI and intelligent automation API integrations Translating business requirements into scalable technical solutions Working within governed and security-conscious enterprise ...

will havedeep expertise in architecting, developing, and scaling full-stack web platforms, particularly within the Ruby on Rails ecosystem. Experienced in guiding cross-disciplinary engineering teams and embedding modern engineering practices that enable reliable, high-velocity delivery. Adept at introducing and operationalising emerging technologiesincluding LLMs and AI-driven … strong ability to align technical direction with business strategy in fast-moving, product-centric environments. Key requirements: Ruby & Ruby on Rails Full-Stack Engineering: JavaScript, TypeScript, React, Hotwire, Stimulus Node.js & React exposure beneficial API Design: REST, GraphQL, external integrations Data Stores: PostgreSQL, MySQL, Redis, Elasticsearch Async Processing: Sidekiq, Resque ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Anthropic/Claude or similar foundation models. - Experience building AI workflows, agents, copilots or automation solutions. - Experience integrating APIs and SaaS platforms. - Strong software engineering skills in Python, JavaScript or another modern language. - Experience with automation platforms such as Make, Zapier, n8n or similar. - Strong understanding of prompt engineering, retrieval techniques and modern AI tooling. - A genuine product mindset with the ability to move quickly from idea to production. - Excellent communication skills with the ability to translate business problems into technical solutions. - Experience within e-commerce, retail or another fast-paced digital environment would be advantageous. ...

looking for a Technical Lead - Java (AI Enabled) to drive the architecture, development, and delivery of cloud-native applications while leading a talented engineering team. You'll combine strong technical leadership with hands-on coding, helping shape modern platforms that leverage Agentic AI, workflow orchestration, and intelligent automation … challenges. What You'll Do Lead the design and delivery of scalable Java 17+/Spring Boot microservices Own architecture decisions, system design, and engineering standards Design resilient, high-performance APIs and distributed systems Mentor and develop engineers through coaching, code reviews, and technical leadership Champion Agile delivery ...

solutions. Create Python-based services, integrations and automation scripts to support AI initiatives. Integrate AI solutions with existing enterprise systems and applications. Apply prompt engineering, orchestration techniques and modern AI best practices. About You Around 2-3 years' experience in AI, automation, software development or a related technology … services and the wider Microsoft AI ecosystem. Strong Python skills. Experience developing automation and workflow solutions. Understanding of Large Language Models (LLMs) and prompt engineering. ...