3 of 3 Contract Data Governance Jobs in the Thames Valley

Contract Data Architect

Hiring Organisation
Connells Limited
Location
Milton Keynes, Buckinghamshire, South East, United Kingdom
Employment Type
Contract
seeking an experienced Data Architect to join our Group Technology team on a 6-month contract. You will help realise the value of the immense Connells Group data landscape for the benefit of customers, colleagues and the overall business. You will use your expertise to define, evolve … communicate the existing Estate Agency enterprise data architecture, to democratise safe access to consolidated and unified data, modelled to help engineering teams develop single customer and property views. The data architecture will also support system migration and integration, to establish effective master and reference data management ...

Solution Architect - Supply chain, Fulfilment, Store Ops,

Hiring Organisation
Sanderson Recruitment
Location
Berkshire, South East, United Kingdom
Employment Type
Contract
Contract Rate
£700 - £750 per day + Umbrella Engagement
working with Fluent - Understanding of MACH principles, with a focus on composable platforms and patterns - Strong skills in solution design, systems integration and architecture governance - Solid understanding of data governance, privacy standards, and compliance in customer data handling - Proven stakeholder management skills in a company operating ...

AI Engineer

Hiring Organisation
ARM
Location
Reading, Berkshire, United Kingdom
Employment Type
Contract
processing. Develop and integrate AI pipelines into enterprise applications. Support scaling of AI capabilities across datasets and use cases. Ensure alignment with enterprise architecture, data governance, and security standards. Build and optimise AI pipelines for extraction, transformation, and validation. Ensure accuracy, quality, and performance of AI outputs. Implement … validation frameworks and tracking for AI model performance. Deploy AI services through secure APIs into production environments. Embed QA and governance practices into AI development lifecycle. Support continuous improvement of AI models and workflows Leverage AI-assisted tools to accelerate development, testing, and optimisation of AI pipelines. ...