Senior Machine Learning Engineer

Tesco Technology; Welwyn Garden City; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual bonus up to 20% of base salary

25 days holiday + personal day + bankH

Private medical insurance

Job summary

Tesco Technology in Welwyn Garden City is seeking a Senior Machine Learning Engineer to contribute to delivery of scalable data products across Tesco's data platforms. You will work with engineers, data scientists, product managers and analytics professionals to deploy ML solutions from development to production.

You will apply SDLC practices, lead a small team of engineers, and use Python, MLOps tools and cloud technologies such as Azure to build resilient, high‑performing systems at Tesco

Qualifications

• A higher degree in engineering, computer science, maths or science.
• Customer focus with outcome delivery and technical excellence.
• Apply technical skills to solving real world business problems.
• Demonstrable experience building scalable and resilient software systems.
• Experience leading a small team of engineers to meet technical delivery and business outcomes.
• Commercial experience contributing to high impact Data Science projects within complex organisations.
• Experience in MLOps practices and tooling (advantage: feature stores, model lifecycle).
• Fluent in Python; understanding of data structures and algorithms.
• Version control with Git; SDLC tooling.
• Experience with monitoring/logging/alerting tools (Splunk, New Relic, Grafana).
• Experience with Spark, Databricks, Snowflake or BigQuery for big-data transformations.
• Experience building cloud-based solutions (Azure).
• Familiarity with Scrum & Kanban.

Responsibilities

• Participating in group discussions on system design and architecture.
• Translating business needs into technical requirements with product teams.
• Collaborating with Data Scientists, Engineers and Product teams across the lifecycle.
• Delivering high quality code and production-ready solutions.
• Conducting code reviews to optimise performance of data science solutions.
• Supporting production systems, incident resolution and root cause analysis.
• Evolving technology, processes and practices for better outcomes.
• Sharing knowledge with the wider engineering community.
• Applying SDLC practices to create and release robust software.

Skills

Python programming

MLOps

Cloud technologies

Team leadership

Communication

Education

Higher degree in engineering / CS / maths / science

Tools

Git

Splunk

New Relic

Grafana

Apache Spark

Databricks

Snowflake

BigQuery

Azure

Job description

About the role

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.

You will be responsible for

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 will need

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.

Whats in it for you?

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work.

• Annual bonus scheme of up to 20% of base salary.
• Holiday starting at 25 days plus a personal day (plus Bank holidays).
Private medical insurance.