22 of 22 Remote/Hybrid Prompt Engineering Jobs in the UK excluding London

Engineer Manager/Associate Director | Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13115 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit … experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will ...

Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit … experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will ...

civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering … self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows ...

opportunity! Role We are looking for an engaging & ambitious AI Solutions Analyst to help deliver AI-powered solutions. This role combines business analysis, AI prompt engineering, and testing/quality assurance . You’ll work closely with customers to understand their requirements, design effective AI prompts and workflows … Experience in business analysis, QA/testing and solution delivery Organised, detail-oriented, and customer-focused Desirable Change management/business adoption Experience with prompt engineering Familiarity with Agile delivery environments Understanding of AI/LLM capabilities and limitations Responsibilities Gather and document customer requirements Translate business needs ...

role involves building scalable AI-driven services, integrating with enterprise security technologies, and contributing to the evolution of a modern platform that combines software engineering, cloud services, artificial intelligence, and cybersecurity. The ideal candidate enjoys solving complex technical problems, can work across multiple technologies, and is comfortable learning … translate them into technical solutions. Produce maintainable, well-tested, and well-documented code. Participate in technical reviews and architectural discussions. Required Skills Software Engineering Strong software engineering fundamentals. Experience designing modular, maintainable systems. Experience building REST APIs and backend services. Experience developing reusable libraries or frameworks. Experience working ...

layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most ...

build scalable, production-ready AI solutions that deliver real business value. Rather than simply developing proofs of concept, you'll be responsible for engineering robust, reusable solutions that become core business capabilities. As a Senior AI Engineer, you'll combine strong full-stack engineering experience with modern … Design reusable components and architecture that can support future AI initiatives across the organisation. Ensure solutions are secure, well-tested, maintainable and aligned with engineering best practice. Provide technical leadership, mentoring and guidance to colleagues whilst remaining hands-on with development. Support and continuously improve production services, identifying opportunities ...

build scalable, production-ready AI solutions that deliver real business value. Rather than simply developing proofs of concept, you'll be responsible for engineering robust, reusable solutions that become core business capabilities. As a Senior AI Engineer, you'll combine strong full-stack engineering experience with modern … Design reusable components and architecture that can support future AI initiatives across the organisation. Ensure solutions are secure, well-tested, maintainable and aligned with engineering best practice. Provide technical leadership, mentoring and guidance to colleagues whilst remaining hands-on with development. Support and continuously improve production services, identifying opportunities ...

into production environments Develop scalable ML pipelines using AWS cloud technologies Implement MLOps and LLMOps best practices for deployment, monitoring and governance Support feature engineering, model optimisation and performance monitoring Apply responsible AI principles, including model explainability and fairness Present findings and recommendations to technical and non-technical stakeholders … MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures Experience with LLMOps tools such as LangChain, LangSmith or LangGraph Strong understanding of model monitoring, validation and governance Excellent ...

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/ ...

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 ...

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 ...

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 ...

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 ...

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 ...

clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, ensuring high standards of code quality and engineering rigour. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Define and prove a mature …/Fast API. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong ...

boilerplate, and review code. Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically. Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging). Experience working in an Agile/Scrum environment. Additional ...

hands-on delivery role where you'll be responsible for developing advanced chatbot and voicebot capabilities, integrating enterprise platforms, and helping internal engineering teams build long-term expertise in AI-powered customer and employee engagement solutions. The successful consultant will play a key role in enabling the organisation … voicebot solutions using Cognigy.AI Integrate Cognigy with Azure OpenAI, Azure AI Search and enterprise platforms Deliver practical mentoring and technical enablement to internal engineering teams Design and implement Retrieval Augmented Generation (RAG) solutions Develop AI-powered virtual assistants, knowledge retrieval capabilities and intelligent automation workflows Build secure, scalable ...

Integrating AI services with existing enterprise applications including Microsoft 365, Dynamics and other University systems. Building secure AI solutions using Retrieval Augmented Generation (RAG), prompt engineering and orchestration techniques. Develop Python-based services, APIs and automation scripts to support AI products. Use Power BI to develop dashboards that ...

boilerplate, and review code. Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically. Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging). Experience working in an Agile/Scrum environment. Additional ...

solutions, with strong hands-on Power Automate, Power Apps and Power Pages experience. Experience with Copilot Studio, Azure AI Services or similar, including prompt engineering, agent design, knowledge grounding, testing and responsible AI. Strong experience with system integrations, APIs, data connectors and low-code technologies, alongside Microsoft ...

Developer to join 1 of our leading technology clients based in Gloucestershire. In this role, you will serve as the technical authority for the engineering team-guiding system architecture, ensuring high code quality, and driving the deployment of scalable, secure enterprise .NET applications. You will collaborate closely with cross … Server along with TypeScript, JavaScript, jQuery, HTML5, CSS3, and Bootstrap. Modern AI Tools: Familiarity with AI-assisted development tools like GitHub Copilot and Prompt Engineering. DevOps Experience: Exposure to CI/CD pipelines and cloud deployment practices. Location: Ability to work on-site in Gloucestershire 2-3 days ...