Software Engineer (Machine Learning - MLOps) for Product Intelligence Team

Tesco is a leading multinational retailer, with more than 336 000 colleagues.

Our software is used by millions of people across several countries every day. Whether it’s the tills and websites our customers use, or the systems our colleagues and partners use, you’ll play your part in keeping it running like a well-oiled machine. And when a business problem pops up? You and the creative minds in our team will be challenged to solve it.

As Tech Hub we cooperate within the group of Tesco Technology Hubs located in the UK, Poland, Czech Republic, Hungary, and India.

What our colleagues like the most at Tesco:

• We develop our own products
• We make an impact; large scale of operation
• Accountability and respect are given to us
• We cooperate and support each other
• There are great colleagues who are divided into small teams here
• We can develop and learn new things

Benefits

Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with (for all):

• Permanent contract from the go – as a sign of our trust in your abilities
• MacBook as your tool for work
• Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily
• Referral Bonus
• Sports activities with a personal trainer in the office

Benefits for colleagues on employment of contract only:

• Additional 4 days of paid leave to support your well-being and family life
• Up to 20% yearly salary bonus – based on both individual and business performance
• Private healthcare (LuxMed)
• Cafeteria & Multisport
• Supporting those, who are not yet eligible for full holiday entitlement, by expanding their pool from 20 to 25 days
• Relocation Help
• IP Tax Deductible Costs

 If that sounds exciting, then we'd love to hear from you.

Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

This job requires to be based in/close to Kraków. We currently work in a hybrid model and meet in our office 3 days a week.

We're looking for an engineer, preferably with 3-4 years of overall experience with about 1-2 years of relevant experience in developing, deploying, monitoring and AI based solution. You will be working to develop new services for improving Product data quality & Enrichment of Product data. This will involve approaches like using Gen AI & ML for creating these solutions. You will be involved in developing and improving  ML algo's and also taking it to production by orchestrating the MLOps system and microservice based on Java and python"

About the team:

Product Intelligence is part of commercial domain of Tesco.  We help our customers and the communities where we operate get the most value from data. We look after Product data and associated entities and try to continuously enrich it. We have an opportunity to make difference in our our customers shop at Tesco . Product data plays crucial role across entire retail domain and enhancing it, creating new offering on top of it unlocks lot of Business values.

• Very good Software Engineering skills, with experience of different programming languages and a good grasp of at least one language, ideally Python
• A background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.
• Awareness of emerging MLOps practices and tooling
• Model perfromance measurement and Fine tuning 
• Demonstratable experience of building scalable and resilient systems
• Experience building solutions that run in the cloud, ideally Azure
• Should have hands-on experience in:
  - custom AI model development (including selection of appropriate pretrained models if any, hyperparameter optimisation and fine-tuning) 
  - evaluation of models using the relevant metrics - should be able to justify choice of metrics over others depending on the usecases
  - MLOps for deploying, maintaining & monitoring
   - continuous improvement of models based on feedback loops

Unsure if you fit all the criteria? Apply and give us the chance to evaluate your potential – you could be the perfect fit!