Senior ML Engineer — Production ML & Data Platforms (Hybrid)

Tesco

Digswell

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Tesco Data & Analytics is seeking a Senior Machine Learning Engineer to drive delivery of scalable ML-powered products across the business. You’ll collaborate with engineers, data scientists, product managers and analytics professionals to ship production-ready solutions that improve customer experiences and operational efficiency.

You will work across the software lifecycle, apply SDLC practices, and help evolve our data platforms and tooling.

Qualifications

  • A higher degree in engineering, computer science, maths or science.
  • Customer focus with the right balance between outcome delivery and technical excellence.
  • The ability to apply technical skills and know-how to solving real world business problems.
  • Demonstrable experience of building scalable and resilient software systems.
  • Experience of leading a small team of engineers to meet the technical delivery and business outcomes.
  • Commercial experience contributing to the success of high impact Data Science projects within complex organisations.
  • Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.
  • Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python.
  • Understanding of common data structures and algorithms.
  • Use of version control (Git) and related software lifecycle tooling.
  • Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana.
  • Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scale
  • Experience building solutions that run in the cloud, ideally Azure.
  • Experience with software development methodologies including Scrum & Kanban.

Responsibilities

  • Participating in group discussions on system design and architecture.
  • Working with product teams to communicate and translate needs into technical requirements.
  • Working with Data Scientists, Engineers and Product teams across the software lifecycle.
  • Delivering high quality code and solutions, bringing solutions into production.
  • Performing code reviews to optimise technical performance of data science solutions.
  • Supporting production systems, resolving incidents, and performing root cause analysis.
  • Continually look for how we can evolve and improve our technology, processes and practices.
  • Sharing knowledge with the wider engineering community.
  • Applying SDLC practices to create and release robust software.

Skills

Python
MLOps
Git
Spark Databricks
Azure Cloud
Scrum Kanban
Data Structures

Education

Higher degree in engineering, computer science, maths or science

Tools

Splunk
New Relic
Grafana
Databricks
Snowflake
BigQuery

Job description

Tesco Data & Analytics is seeking a Senior Machine Learning Engineer to drive delivery of scalable ML-powered products across the business. You’ll collaborate with engineers, data scientists, product managers and analytics professionals to ship production-ready solutions that improve customer experiences and operational efficiency.

You will work across the software lifecycle, apply SDLC practices, and help evolve our data platforms and tooling.

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