Senior Machine Learning Engineer
Job description
This Senior Machine Learning Engineer opportunity in Statistics, Data Science is built around building and support ML lifecycle tooling for model deployment, monitoring, and alerting. It would suit someone who can bring strong professional approach to the role.
Where the work sits
G MASS Consulting are supporting a leading Audit and Advisory business. We’re looking for a Machine Learning Engineer to shape and scale their pricing technology.
How the role works day to day
Build and support ML lifecycle tooling for model deployment, monitoring, and alerting. Maintaining and improve the Kubeflow environment for Data Scientists and Actuaries. Collaborate with pricing and product teams to deliver high-impact tooling.
What helps in this setting
Strong professional approach.
Practical details
- Length: 12 months, with the view to extend.
- To be discussed, depending on experience.
What needs to be in place
- Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, or a related field.
- Strong experience managing the full ML model lifecycle (batch and online).
- Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows.
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