Senior ML Engineer, Care - High Impact, Hybrid

Deliveroo

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

14 days+

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Job summary

Deliveroo is seeking a Senior Machine Learning Engineer for the Care team in London, with a hybrid work setup (3 days in the office). You’ll own the end-to-end ML lifecycle, driving production-ready models that impact customer support and decision systems.

You will lead with ML foundations, collaborate with product leaders, and raise the bar for reliability, monitoring, and scalable ML solutions across a global organisation.

Qualifications

  • Significant experience as an ML Engineer or Data Scientist with production Python.
  • Proven ability to deploy GenAI or Agentic AI projects, incl. LLMs and fine-tuning.
  • Proficient with modern infra tools such as Docker, Kubernetes, and CircleCI.
  • Strong ML foundations with a bias for simplicity and measurable business impact.
  • Collaborative mindset with mentoring peers and solving real-world problems at scale.

Responsibilities

  • Own the full ML lifecycle: design, development, and productionisation of ML models used in customer support and high-stakes decisions.
  • Architect for reliability: build monitoring, evaluation, and alerting frameworks for real-time drift or misbehavior.
  • Collaborate with Product Managers to translate problems into scalable ML solutions.
  • Provide technical leadership and set the gold standard for ML quality and maintainability.
  • Bridge science and engineering by embedding models into high-performance systems.

Skills

Python production code
ML lifecycle ownership
Collaboration & mentoring
Model evaluation & monitoring

Tools

Docker
Kubernetes
CircleCI

Job description

Deliveroo is seeking a Senior Machine Learning Engineer for the Care team in London, with a hybrid work setup (3 days in the office). You’ll own the end-to-end ML lifecycle, driving production-ready models that impact customer support and decision systems.

You will lead with ML foundations, collaborate with product leaders, and raise the bar for reliability, monitoring, and scalable ML solutions across a global organisation.

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