We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production.
You’ll be someone who:
- Has deep ML theory knowledge — ideally a PhD/postdoc in AI/ML
- Knows when not to use a model based on cost vs. impact
- Advocates for AI productivity tools and uses them daily
- Is commercially minded, tech-savvy, and client-facing
Must-haves:
- 4+ years in ML Engineering
- 2+ years hands-on with Databricks
- Strong track record delivering production-grade ML models
- Solid grasp of MLOps best practices
- Confident speaking to technical and non-technical stakeholders
Tech you’ll be using:
- Python, SQL, Spark, R
- MLflow, vector databases
- GitHub / GitLab / Azure DevOps
- Jira, Confluence
Bonus points for:
- MSc/PhD in ML or AI
- Databricks ML Engineer (Professional) certified