Senior Machine Learning Engineer

Salary: £36,000 - 76,000 per year

Requirements:

• We come from either an engineering or data science background, with a good understanding of the Data Science Toolkit, including programming, machine learning, and MLOps, and bringing data science solutions into production.
• 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 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 and Kanban.

Responsibilities:

• As a Senior Machine Learning Engineer, we will have you as a significant contributor to the delivery of products in one of our most strategic technology areas.
• We will have you work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to deliver valuable and innovative outcomes for our customers.
• We will have you work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations.
• Participate in group discussions on system design and architecture.
• Work with product teams to communicate and translate needs into technical requirements.
• Work with Data Scientists, Engineers, and Product teams across the software lifecycle.
• Deliver high quality code and solutions, bringing solutions into production.
• Perform code reviews to optimise technical performance of data science solutions.
• Support production systems, resolve incidents, and perform root cause analysis.
• Continually look for ways to evolve and improve our technology, processes, and practices.
• Share knowledge with the wider engineering community.
• Apply SDLC practices to create and release robust software.

Technologies:

• Architect
• Azure
• Big Data
• BigQuery
• Cloud
• Computer Vision
• Databricks
• Git
• Grafana
• Support
• Kanban
• Machine Learning
• MLOps
• Python
• REST
• Snowflake
• Spark
• Splunk
• Mobile
• Network

More:

We help our customers and the communities where we operate get the most value from data. We build and run our data platforms, architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams work across supply chain, logistics, store, and online on projects including Operations Optimisations, Commercial Decision Support such as Forecasting and Range Optimisation, Online such as Search and Recommendation, and Intelligent Edge such as Computer Vision. We offer a benefits package including an annual bonus scheme of up to 20% of base salary, holiday starting at 25 days plus a personal day and bank holidays, private medical insurance, maternity, adoption and paternity leave, and access to a free 24/7 virtual GP service and Employee Assistance Programme. We support flexible working, with 60% of the week spent collaborating at our office locations or local sites and the rest remotely, and we are an accredited Disability Confident Leader committed to an inclusive and accessible recruitment process.

last updated 36 week of 2026