G MASS Consulting

Senior Machine Learning Engineer

G MASS Consulting

contract

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Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

AWSCloudDockerKubernetesPandasPythonScikit-LearnSQL

About the role

  • 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

Requirements

  • 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)
Benefits
  • Salary: to be discussed, depending on experience
  • Length: 6 months, with the view to extend

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learning lifecyclestatistical methodsgeneralized linear modelsmodern machine learning techniquesPythonpandasscikit-learnKubernetesDockerCI/CD
Soft skills
communicationcollaboration
Certifications
Bachelor's degreeMaster's degree