This role involves working on a large-scale technology programme, designing, building, governing, and operating data and ML platforms. Opportunities span various technical disciplines, including architecture, engineering, security, and operations, with roles for both hands-on specialists and technical leaders.
This role involves designing, building, and enhancing a secure and scalable Databricks data platform, developing data pipelines, and contributing to platform architecture and best practices. You will work closely with Product, Analytics, and Data Science teams to deliver effective data solutions and support platform operations.
Designs and optimises transaction monitoring systems using statistical and machine learning models to detect financial crime risks across Barclays UK and International. Focuses on model development, data analysis, and cross-functional collaboration to strengthen AML controls and governance. Works closely with technical and non-technical stakeholders to improve detection accuracy and operational effectiveness.
This role involves owning and evolving the infrastructure for AI and machine learning services, designing and maintaining production-grade ML orchestration pipelines, and deploying and scaling models in production environments. You will collaborate with Data Scientists and client-facing teams to deliver scalable AI solutions and influence the technical direction of the platform.
This role involves cleaning and integrating messy data, developing and improving machine learning models, and building data visualizations to communicate insights. You will work across data science, engineering, AI, and visualization, with opportunities to make a significant impact on business performance.
This role involves developing and deploying machine learning models, building data pipelines, and creating Power BI dashboards to support business-critical analytics. You'll work closely with stakeholders to translate business requirements into data-driven solutions and contribute to best practices in data engineering and governance.
This role focuses on leading enterprise data warehouse migrations from legacy systems to the Databricks Intelligence Platform. The Senior Solutions Architect will design technical go-to-market strategies, develop scalable migration frameworks, and act as a top-tier technical advisor for complex customer transitions across EMEA. Key responsibilities include building automated assessment tools, mentoring regional teams, and bridging field feedback into product development.
The Forward Deployed Engineer role involves collaborating with investment professionals to identify and solve complex business and research challenges. You will design and build production-ready applications, workflows, and AI-powered tools, transforming ideas into scalable systems used by front-office teams. The role requires strong software engineering skills, experience with cloud platforms, and the ability to work closely with business stakeholders.
This role involves designing, building, and scaling enterprise-grade AI platforms, transforming AI research into production systems. You'll work on complex AI services, data pipelines, and cloud-native architectures, collaborating with Data Scientists and Software Engineers to productionize ML and NLP models.
This role involves building and supporting robust data products, designing and delivering innovative data solutions, and optimizing scalable data pipelines. You will work within a collaborative team to maintain high coding standards and experiment with emerging data and AI technologies.
This role involves designing and building robust data pipelines and infrastructure to transform complex data into reliable resources. You will work closely with engineers and partners to ensure data quality, lineage, and security in both cloud and on-premise environments.
Job title: Data EngineerLocation: Surrey (Hybrid working)Type: PermanentSalary: £50,000-£75,000Visa sponsorship: Not availableA UK-based technology business building advanced data-driven capability for a government-facing mission. The team works with real-world sensor and geospatial data at scale, across cloud and edge/on‑prem environments, and...
Purpose of the roleTo support the design, prototype and delivery of innovative, data-led products by combining market insight, advanced analytics and modern data platforms. Working in closely with Product Managers and Data Analysts, this role will convert data assets and...
This role involves building and deploying production-ready AI applications, including LLM-based solutions and RAG systems, for enterprise clients. You'll work in a collaborative team, focusing on scalable and secure AI solutions, and contribute to reusable frameworks and best practices.
The Data Scientist will develop and maintain data pipelines, automate data processing workflows, and generate meaningful insights from complex datasets to support the development of next-generation energy storage technologies. The role involves applying statistical and machine learning techniques, creating visualisations, and presenting findings to both technical and non-technical stakeholders.
