AIOps Lead

London, United Kingdom | Posted on 17/09/2026

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

We are looking to hire AIOps Lead role for one of our renowned IT clients in London,UK. This role is open for contract or permanent role.

Location –
London, UK (Hybrid : 2-3 days a week)

Mode –
Contractor or FTE - Open for both

Domain –
Retail & eCommerce

Job Description:

Purpose of the Job:

• Responsible for delivering IT data science products and enabling all data science teams across organization to industrialize their data science models, from Commerce to Supply Chain.
• Responsible for run & maintain together with Managed Services, and provide support and change requests with the internal client’s team.
• Responsible for creating and maintaining Machine learning Operations (MLOps) framework and generic reusable components within the framework.
• This will shape the Machine Learning Operations capability within the D&A platform and enable teams beyond IT D&A. This will be the ‘toolkit’ used by all the data science and machine learning engineers across organization.
• Responsible for Solution design in the data science and Machine Learning Operations space. Enabling Innovation projects together with data science Capability Lead and Innovation Lead.

• Owns the Data and Analytics (D&A) capability domain: drives principles, standards and best practices regarding the (Azure) data science platform across the capability, both within IT, as well as the data science community.
• Supports D&A Datascience team as Solution Architect in delivery of new Data science solutions
• Accountable for an Always On and Future Proof D&A data science platform
• Practice leader to guide and support Data Science & Machine Learning Engineers both in the global team, as well as in decentralized teams. Three to five direct reports (Machine Learning Operations Engineers) and indirectly influencing WoW from technology point of view of whole Data Science community across organization (~25-30 Data Scientists)

• Data & Analytics:
  Machine Learning Operations Capability (Data Science / Advanced Analytics / Innovation

1. Scope of Work

• Responsible for delivering industry standard Machine learning Operations (MLOps) framework which will enable data scientists to build robust Machine Learning pipelines with speed and agility; enabling faster time to market: from exploration & prototyping to deployments in production. Secures buy-in from Senior Data & Analytics Functional Leaders (H19-H20) to implement and further scale the framework within their respective domains.
• Practiceleader to guide and support data sxience & Machine Learning Engineers both in the global team, as well as in various business units
• Responsible for Quality Assurance as a reviewer of Machine Learning Engineering deliveries (pipelines, integrated frameworks), as well as executing performance evaluations of internal and external Machine Learning Engineers within direct team and in the periphery.
• Responsible for Machine Learning models in production and ensure that code pipelines (“CI/CD”) will run and act in case of breakdown.

• Owns the Machine Learning Operations domain
• Responsible for driving tactical and operational execution of the Machine Learning Operations strategy within the Data and Analytics Cluster
• Pro-actively reports towards line manager and the Management team of the Data and Analytics Cluster
• Collaborates with Data Engineering, Data on progress
• Obtains decisions / approvals from line manager and/or D&A Domain Architect through agreed…