7 of 7 Prompt Engineering Jobs in the City of London

in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection … Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence More ❯

suggestions to Clients on their Strategic Plan. You will help to rigorously evaluate the behaviour of this agent, and participate in experimentation and testing phases. Lead and support in prompt engineering tasks to enhance the accuracy and relevance of AI generated responses. Work closely with different teams – such as Consulting, Product Management, Design, and Engineering – to understand … and augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical skills … and ability to think strategically. Strong interest in Generative AI and related areas. Eagerness to learn about Prompt Engineering and its business applications. Good communication and teamwork abilities. Fluency in English is a must; fluency in Italian is a plus. Right to work in UK Additional Information What We Offer: A chance to gain hands-on experience in More ❯

sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity More ❯

evaluation and deployment, ensuring alignment with advanced use cases. Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field. Design and execute prompt engineering strategies for optimal LLM performance and usability. Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance. Analyse model performance, identify improvement More ❯

scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯

The chance to shape entirely new markets for AI agents A team that's genuinely excited about what they're building Bonus points for: Experience with AI agent frameworks, prompt engineering, or LLM applications Background in taking AI products from concept to market Familiarity with distributed systems and cloud infrastructure Previous work at high-growth AI or developer More ❯

efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯