SeniorData Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) | Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse … . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations … Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics More ❯
SeniorData Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) | Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse … . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations … Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics More ❯
Hermiston, Midlothian, United Kingdom Hybrid/Remote Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead DataScientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … DataScientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid/Remote Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead DataScientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … DataScientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯
EH12, Hermiston, City of Edinburgh, United Kingdom Hybrid/Remote Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead DataScientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … DataScientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯