Applied ML Engineer: Revenue Forecasting & Recommendations

Applied ML Engineer: Revenue Forecasting & Recommendations

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Solvo.ai Ltd

At a Glance

  • Tasks: Own and enhance ML models for forecasting and recommendations in a dynamic environment.
  • Company: Join Solvo.ai Ltd, a forward-thinking company at the forefront of AI technology.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative team culture with a focus on continuous improvement and innovation.
  • Why this job: Make a real impact by developing innovative solutions that drive business success.
  • Qualifications: Experience in machine learning and a passion for data-driven decision making.

The predicted salary is between 80000 - 100000 Β£ per year.

Solvo. ai Ltd is seeking an experienced ML Engineer to own end-to-end forecasting and recommendation models for carrier rate, capacity, and bookings.

You will build a defensible confidence layer and continuously improve the system through production feedback.

You will collaborate with deployment engineers to calibrate models against business rules and ensure outputs remain safe and actionable for commercial teams.

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Applied ML Engineer: Revenue Forecasting & Recommendations employer: Solvo.ai Ltd

At Solvo.ai, we pride ourselves on being an exceptional employer that fosters a high-trust, high-ownership culture where innovation thrives. As a Chief of Staff, you'll be at the forefront of our mission to revolutionise container logistics, working alongside visionary leaders in a dynamic environment that embraces AI-driven solutions. With opportunities for personal and professional growth, and a collaborative team spirit, Solvo.ai is the perfect place for those looking to make a meaningful impact in a fast-paced, global setting.

Solvo.ai Ltd

Contact Details:

Solvo.ai Ltd Recruitment Team

We think you need these skills to ace Applied ML Engineer: Revenue Forecasting & Recommendations

Machine Learning
Forecasting Models
Recommendation Systems
Data Calibration
Production Feedback Integration
Collaboration with Deployment Engineers
Business Rules Application