Applied ML Engineer: Revenue Forecasting & Recommendations

Solvo.ai Ltd; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

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.

Qualifications

• 4+ years building and shipping ML systems in production.
• Strong Python and modern ML stack; capable of end-to-end model lifecycle.
• Bias for measurable business impact over model elegance.
• Clear written and verbal communication.

Responsibilities

• Design, train and ship forecasting and recommendation models against real carrier rate, capacity and booking data.
• Build the confidence and explainability layer so every recommendation carries its rationale and a confidence band.
• Turn the override loop into training signal — every accept, adjust or reject makes the system sharper.
• Partner with deployment engineers to calibrate models against the rules business managers actually use.
• Own model quality in production: monitoring, drift detection, retraining and the guardrails that keep outputs safe.

Skills

Python

ML in production

Communication

Model deployment

Time-series forecasting

Job description

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.