MLOps Engineer
MLOps Platform Manager (Databricks) London
Rate: £550-£650 Outside IR35 Per Day
The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work.
The Role and Deliverables
- Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability.
- Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.
- Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing and communication to stakeholders.
- Implement and maintain security, risk and compliance controls across data and machine learning workloads.
- Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience.
Your Skills and Experience
- Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.
- Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.
- Experience owning platform operations and service management in a complex, enterprise environment.
- Confidence working with security, risk and governance stakeholders to evidence controls and support audits.
- Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk.
How to Apply If this contract sounds like a good fit for your experience and interests, please apply to find out more.