Digital product consultancy building ML platforms and AI-enabled workflows
CreateFuture is a 500-person digital product agency across four UK cities, now investing heavily in machine learning infrastructure and AI automation. The hiring mix skews engineering-dominant (28 roles) with a focused data team (4), while active projects span ML platform builds, workflow automation, and internal talent scaling—suggesting a shift from pure services delivery toward retained IP and ML-driven solutions. They're replacing Databricks in favor of a custom stack (SageMaker, Snowflake, MLflow), indicating a move toward cloud-native ML ops.
Notable leadership hires: Head of Data
CreateFuture delivers digital product strategy, design, and software engineering to mid-market and enterprise organizations. The team operates from Edinburgh, Leeds, London, and Manchester, serving clients across financial services, retail, and consumer sectors. Core work includes custom product development, digital transformation, and building internal systems (payroll, ML platforms, workflow automation). Recent projects center on ML platform architecture, AI-enabled process automation, and organizational scaling—shifting their portfolio from project services toward embedded data and ML capabilities.
Primary stack: AWS, SageMaker, Snowflake, Azure, GCP, Terraform, GitLab, MLflow. Frontend: React, Vue, Angular, TypeScript, JavaScript. Backend: .NET, Java, Kotlin. Infrastructure-as-code: CloudFormation, AWS CDK, Ansible, Chef, Puppet. CI/CD: Jenkins, GitHub Actions, GitLab CI/CD. They recently replaced Databricks.
Active projects include a machine learning platform build, AI-enabled workflow automation, internal talent development frameworks, new business lines in wealth/pensions and retail banking, and ML infrastructure automation. Notable challenges: scaling the ML platform, AI native transformation, and reducing learning bureaucracy.
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