1 to 25 of 37 Remote/Hybrid Prompt Engineering Jobs in England

Technical Lead | Staff Software Engineer | Forward Deployed Engineering Team Lead | Principal AI Engineer Bristol | London | Manchester | Cambridge (Hybrid - 2 Days Per Week Onsite) £80,000 - £130,000 + Bonus + Comprehensive Benefits Build the Future of Enterprise AI 167 Solutions is partnering with a rapidly growing global technology organisation … that is investing heavily in its UK AI Engineering capability. With an established international engineering team of over 50 software and AI engineers , this is an opportunity to help shape the next generation of enterprise AI platforms, intelligent software and agentic systems being deployed into some ...

Engineer Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 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 ...

designing, developing, and deploying applications using Vercel v0 , Next.js, React, and TypeScript? Do you have a good understanding of AI-powered application development, prompt engineering, reusable UI components, and rapid prototyping? Experience in requirements gathering, solution design, development, testing, deployment, training, and documentation and expertise in building responsive … application development. The role requires the candidate to Build intelligent applications that leverage Generative AI and Large Language Models (LLMs), Develop AI workflows, prompt engineering frameworks, and agentic capabilities, Implement responsible AI practices, security controls, and monitoring Essential Skills, Knowledge & Experience: Deep understanding in the following functional area ...

+ Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging … develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer ...

Large Language Models (LLMs), AI agents and orchestration frameworks to deliver enhanced automation, decision-making and user experiences.Working as part of a high-performing engineering team, you will be responsible for developing AI-driven workflows, integrating diverse data sources, and building scalable cloud-native applications that combine modern … capabilities with enterprise-grade software engineering practices. Key Responsibilities Design, develop and deploy Agentic AI and Generative AI applications using modern LLM technologies. Build AI agent ecosystems leveraging frameworks such as LangChain, LangGraph and CrewAI. Develop and implement Retrieval-Augmented Generation (RAG) pipelines to improve application accuracy, relevance ...

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 ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...