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- Tasks: Join Tesco as a Machine Learning Engineer, working on innovative data projects.
- Company: Tesco is a leading retailer focused on serving customers and communities sustainably.
- Benefits: Enjoy flexible working, an annual bonus, private medical insurance, and generous holiday leave.
- Why this job: Be part of a diverse team making a real impact through data-driven solutions.
- Qualifications: Fluency in Python and experience with data science tools are essential.
- Other info: This role offers a blend of office and remote work options.
The predicted salary is between 42000 - 84000 £ per year.
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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.
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.
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 Hereto 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.
Seniority level
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Seniority level
Entry level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Retail
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Machine Learning Engineer employer: Tesco Technology
Contact Detail:
Tesco Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Tesco's data platforms and the specific technologies they use. Understanding their architecture and tools will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former employees of Tesco, especially those in the Data & Analytics teams. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Stay updated on the latest trends in MLOps and big data technologies. Being knowledgeable about emerging practices will not only enhance your skill set but also show that you're proactive and committed to continuous learning.
✨Tip Number 4
Prepare to discuss real-world applications of machine learning in retail and logistics. Think of examples where data-driven decisions have led to significant improvements, as this will showcase your ability to apply technical skills to business problems.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and software engineering. Emphasise your proficiency in Python and any experience with MLOps practices, as these are key requirements for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Mention specific projects or experiences that demonstrate your ability to deliver scalable solutions and work collaboratively with cross-functional teams.
Showcase Relevant Projects: Include a section in your application that showcases any relevant projects you've worked on, particularly those involving machine learning, cloud solutions, or big-data technologies. This will help illustrate your hands-on experience.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and teamwork. The role requires collaboration with various teams, so demonstrating your ability to translate technical needs into actionable tasks is crucial.
How to prepare for a job interview at Tesco Technology
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant machine learning frameworks during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in building scalable systems.
✨Understand Tesco's Business Model
Familiarise yourself with Tesco's operations, particularly how data analytics and machine learning contribute to their supply chain and customer experience. This will help you align your answers with their business goals.
✨Prepare for System Design Discussions
Since you'll be participating in discussions about system design and architecture, brush up on your knowledge of data structures, algorithms, and MLOps practices. Be ready to articulate your thought process clearly.
✨Demonstrate a Customer-Centric Approach
Emphasise your ability to balance technical excellence with customer focus. Share examples of how your work has positively impacted users or improved business outcomes, showcasing your understanding of real-world applications.
