Why This Role Stands Out
As a remote MLOps Engineer, you'll own critical platform operations and drive MLOps best practices within a large, data-focused organization, offering an excellent daily rate of £550-£650. This role is perfect for a mid-senior professional experienced with Databricks and end-to-end MLOps who thrives in a collaborative, enterprise environment and is eager to step into a position with significant operational impact. Apply today to leverage your expertise and contribute to a company at the forefront of AI and data analytics.
Quick Overview
Job Description
MLOps Platform Manager (Databricks)London
£550-£650 Outside IR35 Per Day
Fully Remote
Start date: ASAP
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.
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