At a Glance
- Tasks: Join our team to develop innovative machine learning solutions that enhance customer experiences.
- Company: Tesco, a leading supermarket and tech company with a focus on community impact.
- Benefits: Enjoy competitive salary, annual bonus, 25+ days holiday, and private medical insurance.
- Other info: Flexible hybrid working model and commitment to inclusivity in the workplace.
- Why this job: Make a real difference in data science while working with cutting-edge technology.
- Qualifications: Experience in engineering or data science, with strong programming skills, especially in Python.
The predicted salary is between 63000 - 77000 £ per year.
Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Working hours 36
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.
What is 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. 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 (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 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.
- The above information is a shortened summary, refer to our policies for full details
- 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 Big Query 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.
About us
You might know us as a supermarket, technology company or even for our award-winning mobile network.
Truth is, we're all of those things, and much more.
Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world.
No two customers are the same, neither are our colleagues.
At Tesco, we champion a balance that lets you thrive both in and out of work.
Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely.
Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you.
We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.
We're proud to be an accredited Disability Confident Leader, where everyone's welcome.
That's why we commit to providing a fully inclusive and accessible recruitment process.
If you need support with your application, for more information.
And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.
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Senior Machine Learning Engineer employer: Tesco
Tesco is an excellent employer, offering a supportive work culture where Customer Delivery Drivers can thrive in a flexible environment. With competitive pay starting at £14.18 per hour and opportunities for growth, employees enjoy a hands-on role that allows for independence while being backed by a dedicated team. The company values service with a smile, making it a rewarding place to work for those looking to make a positive impact in their community.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tesco.
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We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tesco, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tesco. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tesco
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tesco!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
