Machine Learning Engineer

Tesco UK; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading retail company in Greater London seeks a Software Engineer 2 Machine Learning Engineer to contribute to innovative technology solutions. The role involves collaboration with data scientists and product managers to improve operational efficiencies and customer outcomes. Candidates should have a strong background in Python, experience with scalable systems, and a good grasp of MLOps practices. This position offers a hybrid working environment, valuing diversity and inclusivity within the workplace.

Benefits

Diverse working patterns

Inclusive and accessible recruitment process

Qualifications

• Experience building solutions that run in the cloud, ideally Azure.
• Commercial experience with high impact Data Science projects.
• Awareness of MLOps practices and tooling.

Responsibilities

• Participating in system design discussions.
• Working with product teams on technical requirements.
• Supporting production systems and resolving incidents.
• Sharing knowledge with the engineering community.

Skills

Fluent in Python

Experience with version control (Git)

Knowledge of Apache Spark

Understanding of algorithms

Analytical mindset

Education

Higher degree in engineering, computer science, maths or science

Tools

Monitoring tools (e.g., Splunk, Grafana)

Open-source Data-Science environments

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 Software Engineer 2 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.
• 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’ll 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 systems.
• Commercial experience contributing to the success of high impact Data Science projects within complex organisations.
• Awareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.
• An analytical mind set and the ability to tackle specific business problems.
• Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python.
• Use of version control (Git) and related software lifecycle tooling.
• Experience with tooling for monitoring, logging and alerting e.g. Splunk or Grafana.
• Understanding of common data structures and algorithms.
• Experience working with open-source Data‑Science environments.
• Knowledge of open source big-data technologies such as Apache Spark.
• Experience building solutions that run in the cloud, ideally Azure.
• Experience with software development methodologies including Scrum & Kanban.

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.