Future Tech Jobs
Future Tech Jobs
Latest UK roles, updated daily.
As a Data Engineer, you will develop and maintain robust data pipelines to support business intelligence and analytics. You will work closely with stakeholders to understand their data needs, design structured data models, and ensure high standards of data quality and performance.
The Data Architect will design and implement data solutions to meet business requirements across various departments, focusing on data provision, reporting, and analytics. The role involves collaborating with cross-functional teams to ensure data is organized, accessible, and secure, and aligning with long-term business strategies and compliance needs.
This role involves owning and evolving the data architecture for Amazon EU Books, building scalable data pipelines, and enabling self-service analytics. You will work on consolidating data from multiple systems, ensuring data quality, and supporting AI and advanced analytics initiatives.
This role involves designing and implementing complex finance and actuarial data solutions, translating high-level architecture into detailed designs, and working closely with architecture, engineering, and platform teams. The position requires strong experience in insurance data environments, IFRS17, and hands-on skills with Databricks, Spark, and Python.
AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and...
This role involves driving adoption of Databricks Lakebase, a fully managed Postgres service, by partnering with sales teams and engaging technical and business stakeholders across the UK and Ireland. The specialist will lead complex sales cycles, run proofs of value, and position Lakebase as a modern operational data foundation for AI-native and intelligent applications. Success requires enabling both customers and internal teams to adopt and scale the platform.
Lead a team of pre-sales Solutions Architects focused on Databricks' Lakebase product, driving technical adoption and customer value in strategic accounts. Work closely with sales, product, and engineering teams to shape field strategy and improve consumption in complex, high-growth environments. Requires deep technical expertise in OLTP databases, modern data platforms, and cloud infrastructure, with a focus on AI and operational data systems.
You will design, build, and deploy scalable data pipelines and AI/ML solutions to support vital national security projects. Responsibilities include writing high-quality Python code, maintaining data engineering pipelines, and integrating AI/ML models into production systems.
As a Principal Solution Engineer, you will work closely with the sales team and channel partners to solve complex data challenges for Snowflake's customers in the Wealth & Asset Management sector. You will present Snowflake's technology, create technical champions, and collaborate with various teams to drive successful implementations and continuously improve Snowflake’s products.
As a Senior Technical Account Manager at Snowflake, you will serve as the post-sales technical lead for assigned customers, providing expert advice and support to ensure their success on the Snowflake platform. You will collaborate with cross-functional teams to resolve issues, develop actionable plans, and drive growth by leveraging your technical expertise and strong customer relationships.
Design and build robust data pipelines and governed data products to support analytics and AI initiatives. Own the end-to-end lifecycle of data solutions, ensuring quality, compliance, and performance. Collaborate with stakeholders to translate business needs into reliable datasets and models within a culture of innovation and continuous improvement.
This role involves designing, building, and operating a production-grade Generative AI platform, focusing on scalable and reliable services. Responsibilities include optimizing RAG pipelines, orchestrating multi-model AI services, and ensuring high performance and security in a cloud environment. You will work closely with AI engineers, security teams, and product stakeholders to transform experimental models into production-ready services.
The Data Engineering Lead is responsible for building and leading the data engineering capability at ICAEW, ensuring data is collected, transformed, and made available securely and efficiently. The role involves leading a team, designing scalable data architectures, and collaborating with data architects and other teams to support current and future analytical needs.
As a Data Engineer, you will be responsible for maintaining and optimizing the organization's data platform, including SQL Server databases and a modern cloud-based data ecosystem. You will ensure data reliability, scalability, and performance, develop robust data pipelines, and collaborate with cross-functional teams to deliver end-to-end data solutions. The role involves hands-on technical work, continuous improvement, and a focus on data governance and quality.
In this role, you will design and develop autonomous AI systems that can interact with tools, APIs, and data sources to support clinical and operational decision-making. You'll work closely with product and engineering teams to translate requirements into scalable AI-driven solutions, ensuring safety, reliability, and interpretability.
