Job Description

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. In this role, you'll design and own ML platforms that streamline pricing workflows, support rapid model deployment, and ensure models perform reliably at scale. Partnering with Data Science, Actuarial, and Product teams.

Responsibilities:

Build and support ML lifecycle tooling for model deployment, monitoring, and alerting
Maintain and improve the Kubeflow environment for Data Scientists and Actuaries
Create pricing analytics tools to accelerate impact analysis and reduce manual work
Collaborate with pricing and product teams to deliver high-impact tooling
Communicate complex concepts clearly to technical and non-technical audiences

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)
Solid understanding of statistical methods, including GLMs and modern ML techniques
Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn)
Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows
Familiarity with cloud platforms (AWS) and cloud data warehouses (Snowflake/SQL)

Salary: to be discussed, depending on experience

Length: 12 months, with the view to extend

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G MASS

Senior Machine Learning Engineer

Job Description

Responsibilities:

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