At a Glance
- Tasks: Join Tesco's Data & Analytics team to develop innovative machine learning solutions.
- Company: Be part of a leading retail giant focused on data-driven decision making.
- Benefits: Enjoy a competitive salary, annual bonus, and generous holiday allowance.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by delivering scalable products that enhance customer experience.
- Qualifications: Experience in engineering or data science with strong programming skills, especially in Python.
The predicted salary is between 63000 - 77000 £ per year.
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 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.
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.
- 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.
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Senior Machine Learning Engineer in Welwyn Garden City employer: Tesco Technology
At Tesco Technology, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead impactful projects in a dynamic environment. Located at the heart of our operations, this role offers unique advantages such as access to cutting-edge technology and the chance to shape pricing strategies that drive real business value.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Welwyn Garden City
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tesco Technology or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Machine Learning Engineer in Welwyn Garden City
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tesco Technology.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tesco Technology and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tesco Technology
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tesco Technology uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
