Machine Learning Engineer — End-to-End Models & Infra

Dex; Greater London; On-site; GBP 90,000 - 125,000; Full time

Job summary

Dex's partner company in London is seeking an experienced ML engineer to design, ship, and diagnose production ML models that directly influence user engagement and company earnings. You will contribute to the core ML infrastructure and work across training pipelines to live model serving, balancing business value with technical rigor.

The role emphasizes end-to-end ownership, from data pipeline through to deployment, with a focus on measurable impact and a fast feedback loop in a growing

Qualifications

• Hands-on production ML with end-to-end delivery.
• Experience across data pipeline, model, and live serving.
• Strong statistics background: A/B testing, regression, probability.
• Familiar with causal inference or uplift methods.
• Focus on business impact and high-leverage solutions.
• Interest in building ML infrastructure alongside the team.

Responsibilities

• Design and ship production ML models impacting engagement and earnings.
• Translate complex business problems into ML formulations.
• Build and optimize reward and payout structures balancing cost and value.
• Diagnose underperforming reward campaigns and implement solutions.
• Contribute to ML infrastructure design and implementation from training to serving.

Skills

Production ML

Full stack ML

Statistics (A/B testing)

Causal inference

ML infrastructure

Job description

Dex's partner company in London is seeking an experienced ML engineer to design, ship, and diagnose production ML models that directly influence user engagement and company earnings. You will contribute to the core ML infrastructure and work across training pipelines to live model serving, balancing business value with technical rigor.

The role emphasizes end-to-end ownership, from data pipeline through to deployment, with a focus on measurable impact and a fast feedback loop in a growing