16 of 16 Remote/Hybrid Prompt Engineering Jobs in London

Language Models (LLMs) . You will bridge the gap between business requirements and technical execution, overseeing the entire lifecycle from initial scoping and data engineering to model deployment and prompt optimization. Key Responsibilities Business Alignment: Partner with stakeholders to define project scope, translate business problems into technical specs … ensure high-quality inputs for ML models. Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies. Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors. Evaluation & Optimization: Define metrics ...

services experience is beneficial but not essential. Key Responsibilities Design, build, and deploy Generative AI solutions using large language models (LLMs) Develop and optimise prompt engineering strategies for production use cases Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications Work with both structured … unstructured datasets, including text-heavy data Collaborate closely with data engineering and software teams to productionise solutions Identify high-impact use cases and contribute to the broader AI roadmap Ensure solutions align with governance, risk, and compliance standards Communicate insights and outputs clearly to both technical and non-technical ...

making across complex digital transformation programmes. With access to cutting edge AI frameworks, high performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems. This role empowers you to shape end to end AI ecosystems-accelerating … more intelligent, AI enabled future. Key Responsibilities Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops ...

Connect to your Industry Deloitte’s AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client’s lead and win through the transition to a low‐carbon, digitally enabled, prosperous, equitable and resilient economy. We take work … Generative AI strategies aligned with business goals. Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale. Oversee the development and operationalisation of state-of-the-art AI models, including large language models (LLMs), diffusion ...

join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity … systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model ...

frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development of AI solutions from concept through deployment and ongoing improvement. Create and maintain comprehensive technical documentation. Communicate … complex AI concepts clearly to stakeholders at all levels. What you'll bring: Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks ...

deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate engineering delivery Lead advanced AI knowledge-sharing sessions within internal … upskilling initiatives Evaluate emerging AI frameworks, protocols, and tooling Support pragmatic AI adoption across multidisciplinary engineering teams AI Engineer Requirements Essential: Strong software engineering foundations with a production mindset Proven hands-on experience with Large Language Models (LLMs), including API integrations, prompt engineering, agent workflows ...

agents or copilots Hands-on experience with Microsoft Copilot, Copilot Studio, and/or Azure OpenAI Strong understanding of large language models (LLMs), prompt engineering, and document processing Experience working with unstructured data and implementing document analysis solutions Knowledge of data mapping, data lineage, and workflow/process ...

Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling, and orchestration frameworks Ability to work autonomously in a scale-up environment A product-focused mindset — you enjoy owning features ...

scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive … complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating ...

build intelligent, scalable products used by thousands of customers. This is a high-impact role where you’ll work closely with product, data, and engineering teams to bring AI-driven features into production. What you’ll be doing: Designing and building scalable backend systems using Python Developing and integrating … OpenAI, LangChain, Hugging Face) Collaborating with data scientists to productionise models Improving system performance, reliability, and scalability Contributing to architectural decisions in a growing engineering team What they’re looking for: Strong experience with Python in a production environment Hands-on experience with LLMs or applied AI (prompt ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

systems Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques Works independently, resolving complex issues with little or no supervision or direction Has experience of managing a junior team to achieve ...

developer at BlackRock, you'll work for a leading financial company and be part of a team creating next‐generation technology. What is Aladdin Engineering? Our development teams sit inside Aladdin Engineering. We collaboratively build the next generation technology that changes the way information, people, and technology intersect … member of our core Private Markets technology team. Your team will be based in London and is part of the wider team responsible for engineering our cloud‐first Private Markets platform using a microservice architecture. This platform supports hundreds of client businesses, managing and analysing their portfolios. The team ...

have a strong technical background and a good understanding of how software, data and systems work You have fluency with modern AI toolsets including prompt engineering, AI-assisted coding, MCP (Model Context Protocol), agentic workflows and the broader emerging AI stack You have used tools such as OpenAI ...

Required: Strong professional experience in consulting Previous work experience with CPG and retail clients Track record in commerce, CX, or marketing transformation AI fluency (prompt engineering, analytics) Familiarity with MarTech and eCommerce platforms Willingness to travel Analytical, structured, and creative problem solver Collaborative and empathetic Resilient and adaptable ...