Senior ML Engineer (12-Week Contract) - Production ML

MCS Group | Your Specialist Recruitment Consultancy

Dublin

Hybrid

EUR 111,000 - 166,000

Full time

3 days ago
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Job summary

MCS Group | Your Specialist Recruitment Consultancy seeks a senior, hands-on ML contractor for a growing cyber business. You will assess existing predictive models, dive into data, and drive improvements toward production-ready delivery.

The role is a day-rate contract, 12 weeks initially, with hybrid working in Dublin. Strong Python and production ML experience are essential, with background in classification, time-series or risk scoring. Start-up/consultancy experience is advantageous.

Qualifications

  • Strong Python and production machine learning expertise.
  • Background in classification, predictive modelling, risk/probability scoring, anomaly detection or time-series modelling.
  • Experience taking models from data and experimentation through to deployment, monitoring, drift and retraining.
  • Comfortable working independently in an ambiguous environment, without a large ML team around you.
  • Experience in a start-up, scale-up, consultancy or small ML team would be a real advantage.

Responsibilities

  • Assess and improve existing predictive models and data.
  • Decide next steps and move work toward a reliable, production-ready solution.
  • Work autonomously in a fast-paced, ambiguous environment.

Skills

Python
Production ML
Classification
Time-series modelling
Anomaly detection
Drift monitoring
Retraining
Independent work
Start-up/scale-up experience
Risk scoring

Job description

MCS Group | Your Specialist Recruitment Consultancy seeks a senior, hands-on ML contractor for a growing cyber business. You will assess existing predictive models, dive into data, and drive improvements toward production-ready delivery.

The role is a day-rate contract, 12 weeks initially, with hybrid working in Dublin. Strong Python and production ML experience are essential, with background in classification, time-series or risk scoring. Start-up/consultancy experience is advantageous.

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