Machine Learning Engineer

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 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 will need

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.

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. Click Here to find out more 

• 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

• 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave

• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

About Us
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. For further information on the accessibility support we can offer, please click here. 

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.