Senior Machine Learning Engineer

Tesco; Digswell; Hybrid; GBP 90,000 - 130,000; Full time

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

Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we 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 are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments.

As a Senior Machine Learning Engineer, you’ll be a significant contributor to the delivery of products in one of Tesco’s most strategic technology areas. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations.

In this role, responsibilities will include:

• 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.

You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points:

Key Requirements:

• 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.
• Demonstratable 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.

You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.

At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.

We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.