The Role
As an MLOps Engineer, you will be responsible for the full lifecycle of ML/AI solutions in production. You will work closely with Data Scientists, Data Engineers, DevOps and application teams to design, deploy and operate scalable machine learning systems in a cloud environment.
Key responsibilities include:
- Transitioning machine learning models from Databricks notebooks into production using best-practice ML and pipeline patterns
- Designing, building and maintaining end-to-end ML and data pipelines
- Maintaining and optimising Databricks infrastructure (compute, catalogues, users, upgrades)
- Monitoring performance, cost, stability and operational efficiency of ML platforms
- Writing and reviewing technical documentation, designs and code
You are a hands-on MLOps or DevOps engineer with a strong software engineering mindset and experience supporting machine learning solutions at scale in production environments.
Essential experience and skills:
- 3+ years’ experience in DevOps, MLOps or software engineering roles in a cloud environment
- Strong experience with AWS and cloud-native architectures
- Proven experience deploying and supporting ML models in production
- Advanced Python and Spark experience
- Strong understanding of ML model lifecycle and operationalisation
- CI/CD pipeline automation experience (e.g. Azure DevOps or similar)
- Infrastructure-as-code experience (Terraform)
- Databricks platform experience (including MLflow and Feature Stores)
- Experience with relational and non-relational data stores
- Exposure to large-scale or shared data platforms
- AWS or Databricks certifications
- Degree in Computer Science, Engineering, IT or a related quantitative discipline
- Cloud certifications highly regarded (AWS, Databricks)
- Work on large-scale, production ML systems with real-world impact
- Modern cloud and data platforms with strong engineering standards
- Flexible working arrangements
- Strong focus on learning, development and continuous improvement
- Supportive, values-driven team culture
