> Markdown version of [/jobs/ext/2803735-engineering-lead-data-analytics-ai](https://www.wearedevelopers.com/jobs/ext/2803735-engineering-lead-data-analytics-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Lead - Data, Analytics & AI - **Company:** Lloyd's - **Location:** Stoke Gifford, UK - **Experience:** Expert - **Salary:** £92,701.0 - £109,060.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Data Structures, Data Warehousing, Dimensional Modeling, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Chatbots, Large Language Models, Apache Spark, Generative AI, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Apache Flink, Data Analytics, Apache Kafka, Data Management, Machine Learning Operations, Devsecops - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2842869124-engineering-lead--data-analytics--ai ## About the Role * Significant experience designing, building and operating large-scale distributed systems, data platforms and cloud-native architectures. * Hands-on experience with Python, SQL and modern software engineering practices. * Experience building large-scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent. * Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms. * Strong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product design. * Experience designing data structures and models that support reporting, self-service analytics, machine learning and AI use cases. * Understanding of modern GenAI architecture patterns including vector databases, retrieval-augmented generation (RAG), embeddings, agentic workflows and LLM orchestration frameworks. * Knowledge of MLOps, model lifecycle management, observability and AI governance practices. * Experience with cloud platforms such as GCP, Azure or AWS and associated platform services. * Strong understanding of containers, Kubernetes, CI/CD, infrastructure automation and DevSecOps practices. * Excellent communication skills with the ability to influence technical and non-technical audiences. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. ## Description * Define and execute the engineering roadmap in partnership with Product, Architecture, Data Science and business stakeholders. * Drive technical strategy and engineering excellence across data, analytics and AI solutions. * Enable customer intelligence, personalisation, decisioning and conversational AI use cases through modern data products and data platforms. * Design and implement reusable data products, semantic models and analytics capabilities that support reporting, machine learning and GenAI workloads. * Drive adoption of AI Engineering, MLOps and LLMOps best practices across development, deployment, monitoring and governance. * Champion security, resilience, privacy, Responsible AI and governance by design. * Identify opportunities to improve efficiency, reliability and developer productivity through automation and platform engineering. * Mentor, coach and develop engineering teams, fostering a culture of innovation, continuous learning and engineering excellence., Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)