Digital delivery consultancy for UK government and regulated sectors
Amber Labs is a London consultancy building cloud, data and software services for UK central government programmes, including third-party access to DWP services. Its stack spans AWS, Azure and GCP with Terraform, Kubernetes on EKS and GitLab CI/CD, alongside Oracle E-Business Suite and SOA Suite, which points to legacy modernisation work. Accelerating, senior-heavy hiring led by engineering suggests the firm is staffing experienced delivery teams onto active programmes.
Amber Labs is a privately held digital transformation consultancy founded in 2020 and headquartered in London, with 51–200 employees. It delivers AI, data, cloud and software engineering services to organisations in highly regulated sectors, with a strong focus on UK central government programmes. Its work covers cloud adoption, database migration and modernisation, service management automation and secure access to public services. Delivery teams combine engineering, design, data, security and product skills. The company hires in the United Kingdom and the United States.
Amber Labs works across AWS, Azure and GCP, using Terraform, Docker, Kubernetes, AWS EKS, GitLab CI/CD and Jenkins. Its languages include Python, Java and Node.js, and it also uses AWS Bedrock, Oracle E-Business Suite and Power BI.
Amber Labs is working on UK central government transformation programmes, including a project to give third parties access to DWP services. Its other work covers service desk automation, migration discovery and database modernisation.
Yes. Hiring at Amber Labs is accelerating and is led by engineering, with most openings at senior level. The firm is also recruiting for design, data, security and product roles in the UK and the US.
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Amber Labs'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 →
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