MLOps Engineer

We are seeking a lead level MLOps Engineer to identify and implement impactful ML use cases across an enterprise scale group of companies which includes a number of household name organisations.

You'll join a centralized team of Engineers within a specialised Data group, responsible for providing machine learning and data solutions across the portfolio group. Working closely with stakeholders from various parts of the group to gather requirements for ML infrastructure projects, and translate them to technical solutions. You'll then work with the team to build out and implement these services.

We are looking for an MLOps Engineer with:

• Experience deploying ML Infrastructure & Platforms on public cloud solutions
• Strong knowledge of Infrastructure tooling such as Terraform, Ansible, Kubernetes etc
• Experience with Data frameworks, preferably Databricks but flexible
• The communication skills and willingness to advise internal stakeholders in best practices and new solutions for ML Tooling

Location: Houston on a hybrid basis (primarily in office)

Compensation: Flexible depending on experience + bonus and strong package