DataOps and MLOps Managed Services
Our team aligns to ITIL methodologies, and our model allows organisations to offload certain responsibilities, such as 1st, 2nd, and 3rd line support, enterprise data and AI platform management, data and MLOps pipelines health monitoring and cost optimisation, enabling you to focus on core business objectives. Our Managed Services function can provide several benefits, including cost predictability, access to specialised expertise, enhanced operational efficiency, and improved scalability.
By combining technical expertise with ongoing support, we deliver a fully managed solution that enhances operational resilience, accelerates your AI and data-driven initiatives, and ensures your data infrastructure remains cost-effective and scalable.
How we can help you
Incident management and resolution
We can provide multi-tiered assistance to ensure the smooth operation, reliability, and performance of your data pipelines and machine learning workflows. We offer 1st, 2nd, and 3rd line support, covering everything from routine troubleshooting to advanced issue resolution and infrastructure optimisation.
1st Line Support acts as the first point of contact, handling incident logging, basic troubleshooting, and user assistance for common issues in DataOps and MLOps environments. Our team ensures quick resolutions for minor disruptions and escalates complex cases when needed.
2nd Line Support addresses more in-depth technical issues, including pipeline failures, model deployment challenges, and performance bottlenecks. This team conducts root cause analysis, applies configuration fixes, and ensures seamless integration across data and ML systems.
3rd Line Support provides expert-level assistance for the most complex and critical issues, involving infrastructure scaling, cloud optimisation, security concerns, and advanced debugging. Our specialists work closely with engineering teams to resolve deep system-level problems and implement long-term solutions.
By offering comprehensive, tiered support, we help organisations maintain uninterrupted data and AI operations while optimising system performance and reliability.
with us
400
number of glue jobs overseen by our Run team on just one of the accounts
100%
SLA adherence against our Incident response and resolution times in the last quarter
100%
platform and data pipeline uptime in Q4 2024
36%
cloud cost savings unlocked by our Run team for our clients last year
People behind the numbers
People behind the numbers
People behind the numbersPeople behind the numbersPeople behind the numbers
People behind the numbersPeople behind the numbersPeople behind the numbersKaren has developed a career supporting public and private sector customers spanning over 30 years’, with experience in Managed Services and IT Service Management.
Working within consulting for many years, Karen is enthusiastic about supporting businesses and becoming a trusted partner in her stakeholders' journeys.
Jon is a multi-discipline engineer currently focused on Cloud Engineering within the Data space. He provides expertise around platform design and implementation, with a drive for SRE practices especially focused on observability and reducing toil.
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.
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Check some of Team written articles
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Havea projectin mind?
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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