Senior Software Engineer Machine Learning - MLOps

Tesco Technology; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

A leading multinational retailer in Kraków is seeking a Software Engineer in Machine Learning Engineering. You will work collaboratively in a team to build and deliver data-driven products. This role requires strong programming skills, customer focus, and experience in high-impact data science projects. Join us in an inclusive environment where your contributions will have a meaningful impact on our operations and customer offerings.

Benefits

MacBook as your tool for work

Learning opportunities - certified technical training and learning platforms

Referral Bonus

Sports activities with a personal trainer

Qualifications

• Experience building scalable and resilient systems.
• Demonstratable experience with high impact Data Science projects.
• Understanding of common data structures and algorithms.

Responsibilities

• Participate in group discussions on system design.
• Work with product teams to translate needs into technical requirements.
• Deliver high quality code and solutions.

Skills

Experience with different programming languages, ideally Python

Understanding of MLOps

Experience with monitoring and logging tools

Customer focus

Analytical mindset

Education

Higher degree in engineering, computer science, maths or science

Tools

Git

Apache Spark

Job description

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.

What is in it for you

Hybrid work

We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about different flexible working options. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, adapting to parenthood, or something else. So, talk to us throughout your application about how we can support.

This role requires you to be based in or near Kraków, as you will spend 60% (3 days) of your week collaborating with colleagues at our office locations or local sites and the rest remotely.

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):

• MacBook as your tool for work
• Learning opportunities - certified technical training and learning platforms like Udemy
• 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.

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.

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 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.
• Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python.
• 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.
• A background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.

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

About us

Tesco is a leading multinational retailer, with more than 330 000 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, Hungary, Czech Republic 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