ML Infrastructure

We advise on and implement leading AI infrastructure solutions providing the foundation for scalable machine learning, whether on-premise, cloud-native, or hybrid. We can also help you optimise computational resources, enable seamless cloud integration, and ensure cost-efficient scalability. Most of our implementations of the turnkey machine learning eco-systems are on top of the leading cloud providers infrastructures – e.g. Databricks on Azure.

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People behind the numbers

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  • Esref Mutlu

    Esref Mutlu

    Senior Data Engineer - Principal

    Esref is the Principal Engineer at The Dot Collective, with over a decade of experience in designing and implementing secure, scalable, and well-governed cloud-native data and machine learning platforms across a variety of industry verticals, including insurance, banking and third sector.

    As a tech lead, Esref leverages cutting-edge technologies to build high-performing data and ML solutions while fostering a collaborative and growth-oriented engineering culture. Passionate about innovation and continuous learning, he excels in fast-paced, outcome-driven environments

  • Jakub Dawczynski

    Jakub Dawczynski

    Platform Engineer

    Kuba is an experienced Cloud & DevOps Engineer with a strong background in designing, automating, and securing cloud-native infrastructures. Specialising in Kubernetes, MLOps, and CI/CD automation, he has deep expertise in infrastructure as code (IaC), cloud security, and AI/ML platform deployment.

  • Leonardo Baiao

    Leonardo Baiao

    Cloud Engineer

    Leonardo is an experienced Cloud Engineer, specialising in Google Cloud, AWS, and Kubernetes. Skilled in Terraform, Ansible, CI/CD (Azure DevOps, Jenkins, GitHub Actions), and container orchestration (ECS, EKS, Docker).

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Reach out today and we I'll be back in touch as soon as humanely possible. We've built world-class cloud-native data platforms for some of the largest enterprises in the UK. We'd love to help you too.

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