Machine Learning Engineer

Job title Machine Learning Engineer

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.

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 in Machine Learning Engineering, 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.
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:

The ideal candidate is fluent in Python programming language.
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.
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.
It would be a bonus if you have a background or strong understanding of the retail sector, logistics and/or ecommerce. However, this
is not a requirement.

What's 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

Hiring Team
Lead TA Specialist Devon Alexander - Devon.Alexander@tesco.com
Position Details
Department Technology - Data Science
Working hours 36
Position type Full-Time
Work/ Position Level Work Level 2
Headcount 1
Location Details
Country United Kingdom of Great Britain and Northern Ireland
Location name Shire Park
Additional Information
Salary frequency Weekly