21 of 21 Remote/Hybrid Prompt Engineering Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including explainability, governance … MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks such as LangChain, LangGraph, or LangSmith. Experience taking ML models from experimentation into production environments. Strong communication skills with ...

implications. The role also provides an opportunity to contribute to innovative approaches to insights generation, including AI-enabled insights capture, Large Language Models (LLMs), prompt engineering and AI-enabled analytics tools . Skills, Qualifications and Experience: Essential Bachelor's degree or equivalent in Life Sciences, Pharmacy or another … models and ways of working. Experience working with internal and external medical, scientific or healthcare data sources. Familiarity with Large Language Models (LLMs) and prompt engineering. Experience using AI-enabled analytics or insights-generation tools. Experience developing data visualisations, dashboards or analytical storytelling. Relevant postgraduate research, fellowship or pharmaceutical ...