Senior Software Engineer (Data/ML) - all genders

Description

The role sits in the Pricing Platform department and focuses on algorithmic pricing that improves profit and manages stock risk across every article on the company's platform.

You will make pricing models dependable in production by building the data, software, deployment and monitoring base that moves them from experiments into everyday commercial use.

It is an engineering role where data platforms, machine learning, optimisation and product work meet. You will partner with applied scientists, product managers, engineers and commercial colleagues to turn unclear problems into trusted, scalable systems.

Apply even if you do not meet every requirement.

Responsibilities

• Build and run production systems for data ingestion, optimisation, forecasting and machine learning.
• Create scalable data and ML pipelines with Python, Databricks, Spark and Airflow, defining clear data contracts and handling failures reliably.
• Provide reusable training, evaluation, deployment and experiment-tracking tools so applied scientists can build and assess models quickly.
• Make models production-ready: set dependable inputs and outputs, automate deployment, track quality and performance, and keep model behaviour traceable.
• Run workloads in the right environment, using Databricks jobs for distributed data and ML work and Dockerised applications on Kubernetes pods where needed.
• Create dashboards, alerts and runbooks so users and engineers can see system health, spot problems and react quickly.
• Turn business rules and decision requirements from product and commercial partners into software components that are easy to maintain.
• Set practical standards for system design, testing, code review, CI/CD, observability and operational ownership.

Requirements

• 4+ years of experience building and running data or ML systems in production, such as in MLOps, data engineering, ML platforms or ML product development.
• Write maintainable production Python and follow solid software delivery practice, including automated testing, code review and CI/CD.
• Strong grounding in software fundamentals: reliability, scalability, observability and maintainable design.
• Understand how cloud workloads are deployed and run, including AWS, Docker containers and Kubernetes-based execution.
• Communicate clearly with technical and non-technical people, and enjoy turning unclear problems into dependable systems.
• Welcome: familiarity with AI-assisted development tools such as Co-pilot, Codex or Claude Code.

Conditions

Leave personal details such as a photo, age or marital status off your CV, so candidates are assessed only on skills and experience.

Benefits

• 27 days of holiday a year to start for full-time staff, rising by 1 day per calendar year up to 30 days.
• 40% off fashion and beauty products sold and shipped by the company, 30% off its Lounge line, and discounts from external partners.
• Support for families, including counselling and services aimed at parents and carers.
• Company pension scheme.
• Employee shares programme.
• Health and wellbeing options, including a third-party wellbeing platform.
• Mental health support and coaching.
• Training through the company's learning platform and peer-to-peer review twice a year.
• 2 paid volunteering days a year.
• Relocation assistance, subject to prior agreement.