12 of 12 Permanent Prompt Engineering Jobs in the City of London

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions … scorecard: drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. ...

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing … scorecard: drive delivery efficiency and operational efficiency; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. • Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. ...

+ 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 while setting technical standards for a high-performing data science team. You'll play a hands-on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business value. What you'll do Lead the design and development … through deployment and monitoring. Establish best practices for model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents. Mentor data scientists and provide technical leadership through code reviews and coaching. Partner with engineering ...

machine learning solutions within a global insurance organisation. This is a hands-on technical leadership role, ideal for someone who enjoys combining software engineering, data science, AI, and delivery leadership. You'll help shape the technical direction of a growing AI function while leading the successful delivery of innovative … machine learning, and advanced analytics solutions from concept through production. Provide technical leadership across multiple AI initiatives, ensuring high standards for architecture, engineering, scalability, and deployment. Design and build AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI approaches. Remain hands-on with development ...

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 ...

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 ...

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 ...

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 ...

mentor a team of Engineers to deliver high-quality solutions. You will act as the bridge between client requirements, solution design and hands-on engineering, ensuring outcomes are scalable, performant and commercially sound. This is a hybrid position with occasional travel as required. We Are Recruiting for Two Positions … United Kingdom Fluent German (professional/business level) Excellent written and spoken English Both positions require experience with AI-enabled software development and modern engineering practices. Key Responsibilities Technical Leadership and Architecture: Lead end-to-end technical architecture and delivery of Sitecore-based digital experience platforms. Define and maintain ...

.NET ecosystem, containerization(Docker/Kubernetes), and clean code practices. Additionally, we are looking for a modern architect who actively utilizes AI-driven engineering tools to optimize workflows, accelerate design phases, and maintain a competitive edge. Key Responsibilities API Technology & REST Standards Design ● Define, design, and enforce strict REST … development and deployment workflows using Docker. ● Design, configure, and optimize enterprise deployments on Kubernetes (K8s),managing ingress, service meshes, scalability, and resource limits.Code Quality & Engineering Standards ● Establish rigorous code quality baselines, promoting SOLID principles, classic design patterns, and clean architecture templates. ● Set standards for testing automation (unit, component ...

strategic direction into product content and to influence consensus-building across systems and brands. Demonstrated curiosity to explore and apply emerging AI technologies, including prompt engineering and structured content, to enhance strategy and operational efficiency. Experience applying human-centered design practices to content challenges across systems and brands. ...