126 to 150 of 196 Prompt Engineering Jobs in the UK

Engineer Software Engineering background is required London, UK | Hybrid - 3 days in office - 12-month contract (Inside IR35) We are seeking a AI Engineer with Software Engineering background to join a fast-moving team working across AI platform engineering and direct collaboration with the Investment Team. … role is split approximately 60/40 between platform engineering and business-facing AI delivery, focusing on building and deploying production-grade AI solutions. We are looking for someone who writes clean, production-quality code and can turn AI capability into real business impact. Key Responsibilities Responsibilities Design, build ...

generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams to deliver end-to-end solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/ ...

delivering modern cloud, data, AI and application solutions. The business focuses on helping customers unlock the full potential of Microsoft-aligned innovation, combining strong engineering capability with a people-first culture. The environment is values-driven, collaborative and growth-focused, with genuine investment in employee development, wellbeing and long … progression. Role Overview This is a hands-on Senior AI Developer role for someone who wants to build production-grade AI solutions using modern engineering practices. Youll work directly with customers to design and deliver applications that integrate LLMs, agentic systems and Azure AI services. Initially, youll join ...

enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear … monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven ...

Full Stack Developer to play a key role in the evolution of their flagship AI platform. This is an opportunity to work on genuine engineering challenges, combining large-scale data processing, production AI systems and modern software engineering to build a platform that customers rely on to make … important commercial decisions. Working within a small, highly experienced engineering team, you'll have significant ownership from day one and help shape both the product and technical direction. The Role This role sits at the intersection of: Large-scale data engineering and entity resolution. Production AI systems that ...

integrations and automation. Python or another relevant programming language. AI platforms and tools such as OpenAI/Azure OpenAI, Microsoft Copilot or similar technologies. Prompt engineering, RAG, AI agents or intelligent workflow automation. Working with business systems and data. Taking technical projects from discovery and prototype through … importantly, you'll be comfortable speaking with non-technical stakeholders, asking the right questions and turning operational problems into practical solutions. Experience within construction, engineering or another operationally complex environment would be useful, but isn't essential. Why This Role? This isn't a position where you'll inherit ...

Office-based Working Hours: 40 hours per week (Full-time) Are you looking to drive AI-first transformation and redefine the future of software engineering? We have an exciting opportunity for you - AI Architect ! Careers at TCS: It Means More TCS is a purpose-led transformation company, built … matters through challenging projects that demand innovation, collaboration, and thought leadership. Play a strategic role in transforming business and technology delivery through AI-first engineering practices. Shape the adoption of AI across software development, IT service delivery, and business transformation programmes. Lead innovation initiatives that drive measurable improvements ...

evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop … governance, and fostering a culture of responsible AI adoption across the organization. Education Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field Responsibilities Own the product lifecycle for increasing AI integration across Moody's business services and making Moody ...

cloud and/or locally hosted LLMs (e.g. OpenAI, Anthropic, Azure OpenAI, open-source models) into live products Build RAG pipelines, agentic workflows, and prompt/conversation systems Collaborate with data, product, and engineering teams to translate business requirements into technical solutions Implement CI/CD pipelines, monitoring … plus cloud platforms (Azure, AWS, or GCP) Hands-on experience with LLM-based application development (RAG, agents, copilots) Familiarity with vector databases, embeddings, and prompt engineering Experience with containerisation and orchestration (Docker/Kubernetes) a plus Strong understanding of scalable, production-grade system design Comfortable working across experimentation ...

will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. Key Responsibilities Take concepts from problem statement through to working proof-of-concept … technologies, particularly Gemini-based solutions. Strong Python development skills, with TypeScript experience highly desirable. Full stack development experience, with a particular strength in backend engineering and API development. Experience building applications using React, Next.js, Svelte or similar modern front-end technologies. Strong knowledge of SQL, NoSQL and vector databases ...

technologies, and large language models. You'll work on customer-facing projects, developing scalable, production-ready solutions while helping establish best practices for AI engineering across the wider development team. Key Responsibilities Design, build, and deploy AI-enabled software solutions. Develop applications using technologies such as .NET, Python, React … understand requirements and deliver practical technical solutions. Define technical standards, reusable components, and development best practices. Evaluate emerging AI technologies and recommend improvements to engineering processes. Mentor developers and contribute to the growth of AI capability within the team. Skills and Experience Essential Strong commercial experience in full stack ...

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 ...

with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning ...

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 ...