Independent UK consultancy building bespoke software, data and AI systems
Softwire is a London-based technology consultancy delivering custom software, data and AI work for regulated sectors such as insurance, energy and the public sector. Its stack spans .NET/Blazor, Microsoft Power Platform and Dynamics 365 alongside a full ML toolchain (PyTorch, MLflow, SageMaker, Databricks), and current projects centre on LLM summarisation, AI search and agent context management. Hiring is lead- and principal-heavy but slowing, focused on delivery leadership.
Notable leadership hires: Delivery Lead Product Owner, Practice Lead
Softwire is a privately held technology consultancy founded in 2000 and headquartered in London, with 201–500 employees. It designs and builds bespoke software, digital services, data platforms and AI solutions for clients. The firm concentrates on regulated industries including insurance, energy and government, where domain knowledge and safe delivery matter. It operates offices in London, Cambridge, Manchester, Bucharest and Abu Dhabi, and currently recruits in the United Kingdom and Romania.
Softwire works across C#, .NET, Blazor, Entity Framework Core, React, Node.js, Python, Java and Kotlin, with PostgreSQL, SQL Server, Snowflake and Databricks on AWS and Azure, plus Power Platform and Dynamics 365.
Job posts point to an AI-enabled search and retrieval platform, an LLM-based summarisation system and AI agent context management, supported by tools such as PyTorch, TensorFlow, MLflow, SageMaker and Azure Machine Learning.
Softwire hires in the United Kingdom and Romania, mainly for engineering roles with some data and design positions, weighted toward lead and principal seniority.
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Softwire's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.